From caf99106339be60abf52980dcf477ed047782623 Mon Sep 17 00:00:00 2001 From: Ian Fenty Date: Mon, 3 Mar 2025 12:09:07 -0800 Subject: [PATCH] unknown edit to podaac dataset table --- .DS_Store | Bin 8196 -> 0 bytes .gitignore | 1 + ECCOv4 Release 4/.DS_Store | Bin 8196 -> 0 bytes .../doc/available_diagnostics.log | 336 ------------------ ECCOv4 Release 5/.DS_Store | Bin 6148 -> 0 bytes .../metadata/PODAAC_dataset_table.csv | 80 ----- .../PODAAC_dataset_table_V4r5_20221207.xls | Bin 56320 -> 0 bytes .../PODAAC_dataset_table_V4r5_20230103.xls | Bin 60416 -> 60416 bytes .../metadata/PODAAC_datasets-revised.csv | 76 ---- .../PODAAC_datasets-revised_20210226.5.csv | 80 ----- 10 files changed, 1 insertion(+), 572 deletions(-) delete mode 100644 .DS_Store delete mode 100644 ECCOv4 Release 4/.DS_Store delete mode 100644 ECCOv4 Release 4/doc/available_diagnostics.log delete mode 100644 ECCOv4 Release 5/.DS_Store delete mode 100644 ECCOv4 Release 5/metadata/PODAAC_dataset_table.csv delete mode 100644 ECCOv4 Release 5/metadata/PODAAC_dataset_table_V4r5_20221207.xls delete mode 100644 ECCOv4 Release 5/metadata/PODAAC_datasets-revised.csv delete mode 100644 ECCOv4 Release 5/metadata/PODAAC_datasets-revised_20210226.5.csv diff --git a/.DS_Store b/.DS_Store deleted file mode 100644 index 94882f69abe446384357bf6f4aa0813ee0d3d9ee..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 8196 zcmeHMO>fgc5S?vP>Zk(cK&1+VWQl83;^0)RxP&x0a6m{6f&-us*AYaxb`>YhA&Qhc zA3uS=z#aYv|AiC0+1*C@pbC~yMa4`s^PJs%Yv+x<_BceOYJ<=t+94tb&REz&_>FNt z`;x8MmK#6?K2h{2N{)jl36{o6gD4;hhytR3C?E>_8w%i_&E{Ni-#5JyMFCOZzf^$N z2N%v*wKy@TmktD70swPp)`o4=0h;4ltXiBH)KtuAst0AM%9a?)(9!SmaA4Kq#Gs** zGIUaQ&&pOPO79&!R}UvuH7HRO5CxVM;M#qILh8^Ne71h)3+W+z_op^Zof#RX$5D_Z z5w{npL5KJ}!6ZH|+#{X}-li1MC2!`n08je`K0ECyetDj+?quZOU*Nyb$oCicKeFUrCJo;%Jq@>!h6B%s^c7F%p|sC=@ci;Z9$07Cg?add&Q*D+WXVHiArE<6 zzztmcb$Sfkr4tJ0mDlUS=jpnD+{yi4=S+eqaCH<|H;1~z^?w6vio6H7I=Pc06$Sp5 z0xDN;)@zvU{K;=|Vy?Aa_-i;DkDD0O6a-z41NDOdaQcTKwp|QmPSxVXAX;GZB0$R^ KK@_-D1%3gSkq|}z diff --git a/.gitignore b/.gitignore index c947846..de9e5b2 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,5 @@ *.pyc *.swp *.DS_Store +.DS_Store diff --git a/ECCOv4 Release 4/.DS_Store b/ECCOv4 Release 4/.DS_Store deleted file mode 100644 index d81bc1ac937f0777219c692851ad4fabcfa28cfb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 8196 zcmeHMO>7la6u#fIg_(iU+u^Ug02yi0A}#n@q4F1b{o^Oa6nOokfX{hv2AD9Nsc+`J zf`nKlZWN5VaiRFPH5ysyqDJCQRxa?xh( zbI-ZoncMTq7(-9V>|m^kF(y+FDPKav0xgt>eO{B|nL45%d&W#=uz(r)DSvXFb~2Gf zAc;T{fg}P+1d<5c4-ud{J8bej?tLLm#v}qs1pb#12)_?H^^j&_IxT4Q>7XGh0f^Sp zbkyjX>VU{bk7*{R(}G5(w5F&Y5St<{F(AxIu7~PGGclbORG2debB6fMh$|FCZznrF zQfJ5rnv6*Vk_gO?Kv=uWY=T)~-F|odo_D-F$!7ACj_n8O^w*GTYU>s)mKV!Qa&p_v8|~bU(xHifnmE=F*2}Ci&Tz}+OFwM^>`)M^dsA> z5Xg$GyN=|}I1{dSNjQV}gTU(N zICps=&rHAIP3YXQsjf0s%G*zu?BE=4 zmgNdx)= z&JY3=?u(fY^-*ouG4ht9a8taeOWm%GmPKq8J|HG{smryof;TZiuK0?W+oN@BPlm5O zX!yb4q~(TNx-MjWBpdfn8%1kyiVzs@Xg|$H$3^p@QNL*iUL>Sw9Mm=KXt-RrX+}OY zty;~s!&+A6H)J{@+b!FKdOC3dez`fbNgR%FsX3F5&q`)%*cQ6G_Os)ZTa)Y}yTq=r zx7Y{l6LyVVXJ4|L>|6F7`+@z)eqq0}KT(T%G=QTKDYRlEHlYn$kwG_lFn~iij4Xz5 z0(lf*;UqkiP{vuD!}E9%FX1v?#_MfUW+`@18L#mbP zq(xGL#3fByF11LlQd-(3b%}jT)oeOC8*|bg;ulJoNs%y;vrxjM`uD2)?~8=Fxin0X zMoN*D>zg-j?(EvN=QflC_Ns8Z8^jTEXW>0M<|upSpso_-lDc+XHF@r&lSr>&g1mKB zRw(=U;#m8k4KhKV*Trm0E3pH7kziA8?J}homm*e8r8^W#B3=`-ZQF>2VALHu6-p;w zTUoQZY1Qu3T9q?diI?f=rDd*j`QKypDw|=S6ILsP)t}hU>=yeAG9fet9W4E)igpYs_`z)sM94_Jo!s{z|6|dn9yooD# zJ4WtDxH<=m2WDdtGYes{oGrSJ=bj>26~nX55^in;YQ#iSSpWCm`}hC3W(l7}Ac?>O z6am!sW&3)_p?iHe!&+OX{uK4Fg?iJ1MkX|bD&c%ojuXB84?}v^V_7Dq(}I$O+JF8- TKyv^8)4x@d`#(bHgE{;SU$iwn diff --git a/ECCOv4 Release 4/doc/available_diagnostics.log b/ECCOv4 Release 4/doc/available_diagnostics.log deleted file mode 100644 index 7e223b9..0000000 --- a/ECCOv4 Release 4/doc/available_diagnostics.log +++ /dev/null @@ -1,336 +0,0 @@ - Total Nb of available Diagnostics: ndiagt= 320 ------------------------------------------------------------------------------------- - Num |<-Name->|Levs| mate |<- code ->|<-- Units -->|<- Tile (max=80c) ------------------------------------------------------------------------------------- - 1 |SDIAG1 | 1 | |SM L1|user-defined |User-Defined Surface Diagnostic #1 - 2 |SDIAG2 | 1 | |SM L1|user-defined |User-Defined Surface Diagnostic #2 - 3 |SDIAG3 | 1 | |SM L1|user-defined |User-Defined Surface Diagnostic #3 - 4 |SDIAG4 | 1 | |SM L1|user-defined |User-Defined Surface Diagnostic #4 - 5 |SDIAG5 | 1 | |SM L1|user-defined |User-Defined Surface Diagnostic #5 - 6 |SDIAG6 | 1 | |SM L1|user-defined |User-Defined Surface Diagnostic #6 - 7 |SDIAG7 | 1 | |SU L1|user-defined |User-Defined U.pt Surface Diagnostic #7 - 8 |SDIAG8 | 1 | |SV L1|user-defined |User-Defined V.pt Surface Diagnostic #8 - 9 |SDIAG9 | 1 | 10 |UU L1|user-defined |User-Defined U.vector Surface Diag. #9 - 10 |SDIAG10 | 1 | 9 |VV L1|user-defined |User-Defined V.vector Surface Diag. #10 - 11 |UDIAG1 | 50 | |SM MR|user-defined |User-Defined Model-Level Diagnostic #1 - 12 |UDIAG2 | 50 | |SM MR|user-defined |User-Defined Model-Level Diagnostic #2 - 13 |UDIAG3 | 50 | |SMR MR|user-defined |User-Defined Model-Level Diagnostic #3 - 14 |UDIAG4 | 50 | |SMR MR|user-defined |User-Defined Model-Level Diagnostic #4 - 15 |UDIAG5 | 50 | |SU MR|user-defined |User-Defined U.pt Model-Level Diag. #5 - 16 |UDIAG6 | 50 | |SV MR|user-defined |User-Defined V.pt Model-Level Diag. #6 - 17 |UDIAG7 | 50 | 18 |UUR MR|user-defined |User-Defined U.vector Model-Lev Diag.#7 - 18 |UDIAG8 | 50 | 17 |VVR MR|user-defined |User-Defined V.vector Model-Lev Diag.#8 - 19 |UDIAG9 | 50 | |SM ML|user-defined |User-Defined Phys-Level Diagnostic #9 - 20 |UDIAG10 | 50 | |SM ML|user-defined |User-Defined Phys-Level Diagnostic #10 - 21 |SDIAGC | 1 | 22 |SM C L1|user-defined |User-Defined Counted Surface Diagnostic - 22 |SDIAGCC | 1 | |SM L1|count |User-Defined Surface Diagnostic Counter - 23 |ETAN | 1 | |SM M1|m |Surface Height Anomaly - 24 |SSH | 1 | |SM M1|m |Dynamic Sea Surface Height Anomaly - 25 |SSHIBC | 1 | |SM M1|m |Inverted Barometer (IB) Correction to Sea Surface Height - 26 |SSHNOIBC| 1 | |SM M1|m |Sea Surface Height Anomaly without IB Correction (=SSH+SSHIBC) - 27 |ETANSQ | 1 | |SM P M1|m^2 |Square of Surface Height Anomaly - 28 |DETADT2 | 1 | |SM M1|m^2/s^2 |Square of Surface Height Anomaly Tendency - 29 |THETA | 50 | |SMR MR|degC |Potential Temperature - 30 |SALT | 50 | |SMR MR|psu |Salinity - 31 |RELHUM | 50 | |SMR MR|percent |Relative Humidity - 32 |SALTanom| 50 | |SMR MR|psu |Salt anomaly (=SALT-35; g/kg) - 33 |UVEL | 50 | 34 |UUR MR|m/s |X-Component of Velocity (m/s) (not necessary eastward) - 34 |VVEL | 50 | 33 |VVR MR|m/s |Y-Component of Velocity (m/s) (not necessary northward) - 35 |WVEL | 50 | |WM LR|m/s |Vertical Component of Velocity (r_units/s) - 36 |THETASQ | 50 | |SMRP MR|degC^2 |Square of Potential Temperature - 37 |SALTSQ | 50 | |SMRP MR|(psu)^2 |Square of Salinity - 38 |SALTSQan| 50 | |SMRP MR|(psu)^2 |Square of Salt anomaly (=(SALT-35)^2 (g^2/kg^2) - 39 |UVELSQ | 50 | 40 |UURP MR|m^2/s^2 |Square of Zonal Comp of Velocity (m^2/s^2) - 40 |VVELSQ | 50 | 39 |VVRP MR|m^2/s^2 |Square of Meridional Comp of Velocity (m^2/s^2) - 41 |WVELSQ | 50 | |WM P LR|m^2/s^2 |Square of Vertical Comp of Velocity - 42 |UE_VEL_C| 50 | 43 |UMR MR|m/s |Eastward Velocity (m/s) (cell center) - 43 |VN_VEL_C| 50 | 42 |VMR MR|m/s |Northward Velocity (m/s) (cell center) - 44 |UV_VEL_C| 50 | 44 |UMR MR|m^2/s^2 |Product of horizontal Comp of velocity (cell center) - 45 |UV_VEL_Z| 50 | 45 |UZR MR|m^2/s^2 |Meridional Transport of Zonal Momentum (m^2/s^2) - 46 |WU_VEL | 50 | |WU LR|m.m/s^2 |Vertical Transport of Zonal Momentum - 47 |WV_VEL | 50 | |WV LR|m.m/s^2 |Vertical Transport of Meridional Momentum - 48 |UVELMASS| 50 | 49 |UUr MR|m/s |X-Comp of Geometry-Weighted Velocity (m/s) - 49 |VVELMASS| 50 | 48 |VVr MR|m/s |Y-Comp of Geometry-Weighted Velocity (m/s) - 50 |WVELMASS| 50 | |WM LR|m/s |Vertical Comp of Velocity (m/s) - 51 |PhiVEL | 50 | 48 |SMR P MR|m^2/s |Horizontal Velocity Potential (m^2/s) - 52 |PsiVEL | 50 | 51 |SZ P MR|m.m^2/s |Horizontal Velocity Stream-Function - 53 |UTHMASS | 50 | 54 |UUr MR|degC.m/s |Zonal Geometry-Weight Transp of Pot Temp - 54 |VTHMASS | 50 | 53 |VVr MR|degC.m/s |Meridional Geometry-Weight Transp of Pot Temp - 55 |WTHMASS | 50 | |WM LR|degC.m/s |Vertical Geometry-Weight Transp of Pot Temp (K.m/s) - 56 |USLTMASS| 50 | 57 |UUr MR|psu.m/s |Zonal Geometry-Weight Transp of Salinity - 57 |VSLTMASS| 50 | 56 |VVr MR|psu.m/s |Meridional Geometry-Weight Transp of Salinity - 58 |WSLTMASS| 50 | |WM LR|psu.m/s |Vertical Geometry-Weight Transp of Salinity - 59 |UVELTH | 50 | 60 |UUR MR|degC.m/s |Zonal Transport of Pot Temp - 60 |VVELTH | 50 | 59 |VVR MR|degC.m/s |Meridional Transport of Pot Temp - 61 |WVELTH | 50 | |WM LR|degC.m/s |Vertical Transport of Pot Temp - 62 |UVELSLT | 50 | 63 |UUR MR|psu.m/s |Zonal Transport of Salinity - 63 |VVELSLT | 50 | 62 |VVR MR|psu.m/s |Meridional Transport of Salinity - 64 |WVELSLT | 50 | |WM LR|psu.m/s |Vertical Transport of Salinity - 65 |UVELPHI | 50 | 66 |UUr MR|m^3/s^3 |Zonal Mass-Weight Transp of Pressure Pot.(p/rho) Anomaly - 66 |VVELPHI | 50 | 65 |VVr MR|m^3/s^3 |Merid. Mass-Weight Transp of Pressure Pot.(p/rho) Anomaly - 67 |RHOAnoma| 50 | |SMR MR|kg/m^3 |Density Anomaly (=Rho-rhoConst) - 68 |RHOANOSQ| 50 | |SMRP MR|kg^2/m^6 |Square of Density Anomaly (=(Rho-rhoConst)^2) - 69 |URHOMASS| 50 | 70 |UUr MR|kg/m^2/s |Zonal Transport of Density - 70 |VRHOMASS| 50 | 69 |VVr MR|kg/m^2/s |Meridional Transport of Density - 71 |WRHOMASS| 50 | |WM LR|kg/m^2/s |Vertical Transport of Density - 72 |WdRHO_P | 50 | |WM LR|kg/m^2/s |Vertical velocity times delta^k(Rho)_at-const-P - 73 |WdRHOdP | 50 | |WM LR|kg/m^2/s |Vertical velocity times delta^k(Rho)_at-const-T,S - 74 |PHIHYD | 50 | |SMR MR|m^2/s^2 |Hydrostatic Pressure Pot.(p/rho) Anomaly - 75 |PHIHYDSQ| 50 | |SMRP MR|m^4/s^4 |Square of Hyd. Pressure Pot.(p/rho) Anomaly - 76 |PHIBOT | 1 | |SM M1|m^2/s^2 |Bottom Pressure Pot.(p/rho) Anomaly - 77 |OBP | 1 | |SM M1|m^2/s^2 |Ocean Bottom Pressure - 78 |OBPGMAP | 1 | |SM M1|m^2/s^2 |Ocean Bottom Pressure Including Global Mean Atmospheric Pressure - 79 |PHIBOTSQ| 1 | |SM P M1|m^4/s^4 |Square of Bottom Pressure Pot.(p/rho) Anomaly - 80 |PHI_SURF| 1 | |SM M1|m^2/s^2 |Surface Dynamical Pressure Pot.(p/rho) - 81 |PHIHYDcR| 50 | |SMR MR|m^2/s^2 |Hydrostatic Pressure Pot.(p/rho) Anomaly @ const r - 82 |MXLDEPTH| 1 | |SM M1|m |Mixed-Layer Depth (>0) - 83 |DRHODR | 50 | |SM LR|kg/m^4 |Stratification: d.Sigma/dr (kg/m3/r_unit) - 84 |CONVADJ | 50 | |SMR LR|fraction |Convective Adjustment Index [0-1] - 85 |oceTAUX | 1 | 86 |UU U1|N/m^2 |zonal surface wind stress, >0 increases uVel - 86 |oceTAUY | 1 | 85 |VV U1|N/m^2 |meridional surf. wind stress, >0 increases vVel - 87 |atmPload| 1 | |SM U1|Pa |Atmospheric pressure loading - 88 |sIceLoad| 1 | |SM U1|kg/m^2 |sea-ice loading (in Mass of ice+snow / area unit) - 89 |oceFWflx| 1 | |SM U1|kg/m^2/s |net surface Fresh-Water flux into the ocean (+=down), >0 decreases salinity - 90 |oceSflux| 1 | |SM U1|g/m^2/s |net surface Salt flux into the ocean (+=down), >0 increases salinity - 91 |oceQnet | 1 | |SM U1|W/m^2 |net surface heat flux into the ocean (+=down), >0 increases theta - 92 |oceQsw | 1 | |SM U1|W/m^2 |net Short-Wave radiation (+=down), >0 increases theta - 93 |oceFreez| 1 | |SM U1|W/m^2 |heating from freezing of sea-water (allowFreezing=T) - 94 |TRELAX | 1 | |SM U1|W/m^2 |surface temperature relaxation, >0 increases theta - 95 |SRELAX | 1 | |SM U1|g/m^2/s |surface salinity relaxation, >0 increases salt - 96 |surForcT| 1 | |SM U1|W/m^2 |model surface forcing for Temperature, >0 increases theta - 97 |surForcS| 1 | |SM U1|g/m^2/s |model surface forcing for Salinity, >0 increases salinity - 98 |TFLUX | 1 | |SM U1|W/m^2 |total heat flux (match heat-content variations), >0 increases theta - 99 |SFLUX | 1 | |SM U1|g/m^2/s |total salt flux (match salt-content variations), >0 increases salt ------------------------------------------------------------------------------------- - Num |<-Name->|Levs| mate |<- code ->|<-- Units -->|<- Tile (max=80c) ------------------------------------------------------------------------------------- - 100 |RCENTER | 50 | |SM MR|m |Cell-Center Height - 101 |RSURF | 1 | |SM M1|m |Surface Height - 102 |TOTUTEND| 50 | 103 |UUR MR|m/s/day |Tendency of Zonal Component of Velocity - 103 |TOTVTEND| 50 | 102 |VVR MR|m/s/day |Tendency of Meridional Component of Velocity - 104 |TOTTTEND| 50 | |SMR MR|degC/day |Tendency of Potential Temperature - 105 |TOTSTEND| 50 | |SMR MR|psu/day |Tendency of Salinity - 106 |MoistCor| 50 | |SM MR|W/m^2 |Heating correction due to moist thermodynamics - 107 |gT_Forc | 50 | |SMR MR|degC/s |Potential Temp. forcing tendency - 108 |gS_Forc | 50 | |SMR MR|psu/s |Salinity forcing tendency - 109 |AB_gT | 50 | |SMR MR|degC/s |Potential Temp. tendency from Adams-Bashforth - 110 |AB_gS | 50 | |SMR MR|psu/s |Salinity tendency from Adams-Bashforth - 111 |gTinAB | 50 | |SMR MR|degC/s |Potential Temp. tendency going in Adams-Bashforth - 112 |gSinAB | 50 | |SMR MR|psu/s |Salinity tendency going in Adams-Bashforth - 113 |AB_gU | 50 | 114 |UUR MR|m/s^2 |U momentum tendency from Adams-Bashforth - 114 |AB_gV | 50 | 113 |VVR MR|m/s^2 |V momentum tendency from Adams-Bashforth - 115 |ADVr_TH | 50 | |WM LR|degC.m^3/s |Vertical Advective Flux of Pot.Temperature - 116 |ADVx_TH | 50 | 117 |UU MR|degC.m^3/s |Zonal Advective Flux of Pot.Temperature - 117 |ADVy_TH | 50 | 116 |VV MR|degC.m^3/s |Meridional Advective Flux of Pot.Temperature - 118 |DFrE_TH | 50 | |WM LR|degC.m^3/s |Vertical Diffusive Flux of Pot.Temperature (Explicit part) - 119 |DFxE_TH | 50 | 120 |UU MR|degC.m^3/s |Zonal Diffusive Flux of Pot.Temperature - 120 |DFyE_TH | 50 | 119 |VV MR|degC.m^3/s |Meridional Diffusive Flux of Pot.Temperature - 121 |DFrI_TH | 50 | |WM LR|degC.m^3/s |Vertical Diffusive Flux of Pot.Temperature (Implicit part) - 122 |ADVr_SLT| 50 | |WM LR|psu.m^3/s |Vertical Advective Flux of Salinity - 123 |ADVx_SLT| 50 | 124 |UU MR|psu.m^3/s |Zonal Advective Flux of Salinity - 124 |ADVy_SLT| 50 | 123 |VV MR|psu.m^3/s |Meridional Advective Flux of Salinity - 125 |DFrE_SLT| 50 | |WM LR|psu.m^3/s |Vertical Diffusive Flux of Salinity (Explicit part) - 126 |DFxE_SLT| 50 | 127 |UU MR|psu.m^3/s |Zonal Diffusive Flux of Salinity - 127 |DFyE_SLT| 50 | 126 |VV MR|psu.m^3/s |Meridional Diffusive Flux of Salinity - 128 |DFrI_SLT| 50 | |WM LR|psu.m^3/s |Vertical Diffusive Flux of Salinity (Implicit part) - 129 |SALTFILL| 50 | |SM MR|psu.m^3/s |Filling of Negative Values of Salinity - 130 |VISCAHZ | 50 | |SZ MR|m^2/s |Harmonic Visc Coefficient (m2/s) (Zeta Pt) - 131 |VISCA4Z | 50 | |SZ MR|m^4/s |Biharmonic Visc Coefficient (m4/s) (Zeta Pt) - 132 |VISCAHD | 50 | |SM MR|m^2/s |Harmonic Viscosity Coefficient (m2/s) (Div Pt) - 133 |VISCA4D | 50 | |SM MR|m^4/s |Biharmonic Viscosity Coefficient (m4/s) (Div Pt) - 134 |VISCAHW | 50 | |WM LR|m^2/s |Harmonic Viscosity Coefficient (m2/s) (W Pt) - 135 |VISCA4W | 50 | |WM LR|m^4/s |Biharmonic Viscosity Coefficient (m4/s) (W Pt) - 136 |VAHZMAX | 50 | |SZ MR|m^2/s |CFL-MAX Harm Visc Coefficient (m2/s) (Zeta Pt) - 137 |VA4ZMAX | 50 | |SZ MR|m^4/s |CFL-MAX Biharm Visc Coefficient (m4/s) (Zeta Pt) - 138 |VAHDMAX | 50 | |SM MR|m^2/s |CFL-MAX Harm Visc Coefficient (m2/s) (Div Pt) - 139 |VA4DMAX | 50 | |SM MR|m^4/s |CFL-MAX Biharm Visc Coefficient (m4/s) (Div Pt) - 140 |VAHZMIN | 50 | |SZ MR|m^2/s |RE-MIN Harm Visc Coefficient (m2/s) (Zeta Pt) - 141 |VA4ZMIN | 50 | |SZ MR|m^4/s |RE-MIN Biharm Visc Coefficient (m4/s) (Zeta Pt) - 142 |VAHDMIN | 50 | |SM MR|m^2/s |RE-MIN Harm Visc Coefficient (m2/s) (Div Pt) - 143 |VA4DMIN | 50 | |SM MR|m^4/s |RE-MIN Biharm Visc Coefficient (m4/s) (Div Pt) - 144 |VAHZLTH | 50 | |SZ MR|m^2/s |Leith Harm Visc Coefficient (m2/s) (Zeta Pt) - 145 |VA4ZLTH | 50 | |SZ MR|m^4/s |Leith Biharm Visc Coefficient (m4/s) (Zeta Pt) - 146 |VAHDLTH | 50 | |SM MR|m^2/s |Leith Harm Visc Coefficient (m2/s) (Div Pt) - 147 |VA4DLTH | 50 | |SM MR|m^4/s |Leith Biharm Visc Coefficient (m4/s) (Div Pt) - 148 |VAHZLTHD| 50 | |SZ MR|m^2/s |LeithD Harm Visc Coefficient (m2/s) (Zeta Pt) - 149 |VA4ZLTHD| 50 | |SZ MR|m^4/s |LeithD Biharm Visc Coefficient (m4/s) (Zeta Pt) - 150 |VAHDLTHD| 50 | |SM MR|m^2/s |LeithD Harm Visc Coefficient (m2/s) (Div Pt) - 151 |VA4DLTHD| 50 | |SM MR|m^4/s |LeithD Biharm Visc Coefficient (m4/s) (Div Pt) - 152 |VAHZSMAG| 50 | |SZ MR|m^2/s |Smagorinsky Harm Visc Coefficient (m2/s) (Zeta Pt) - 153 |VA4ZSMAG| 50 | |SZ MR|m^4/s |Smagorinsky Biharm Visc Coeff. (m4/s) (Zeta Pt) - 154 |VAHDSMAG| 50 | |SM MR|m^2/s |Smagorinsky Harm Visc Coefficient (m2/s) (Div Pt) - 155 |VA4DSMAG| 50 | |SM MR|m^4/s |Smagorinsky Biharm Visc Coeff. (m4/s) (Div Pt) - 156 |momKE | 50 | |SMR MR|m^2/s^2 |Kinetic Energy (in momentum Eq.) - 157 |momHDiv | 50 | |SMR MR|s^-1 |Horizontal Divergence (in momentum Eq.) - 158 |momVort3| 50 | |SZR MR|s^-1 |3rd component (vertical) of Vorticity - 159 |Strain | 50 | |SZR MR|s^-1 |Horizontal Strain of Horizontal Velocities - 160 |Tension | 50 | |SMR MR|s^-1 |Horizontal Tension of Horizontal Velocities - 161 |UBotDrag| 50 | 162 |UUR MR|m/s^2 |U momentum tendency from Bottom Drag - 162 |VBotDrag| 50 | 161 |VVR MR|m/s^2 |V momentum tendency from Bottom Drag - 163 |USidDrag| 50 | 164 |UUR MR|m/s^2 |U momentum tendency from Side Drag - 164 |VSidDrag| 50 | 163 |VVR MR|m/s^2 |V momentum tendency from Side Drag - 165 |Um_Diss | 50 | 166 |UUR MR|m/s^2 |U momentum tendency from Dissipation - 166 |Vm_Diss | 50 | 165 |VVR MR|m/s^2 |V momentum tendency from Dissipation - 167 |Um_Advec| 50 | 168 |UUR MR|m/s^2 |U momentum tendency from Advection terms - 168 |Vm_Advec| 50 | 167 |VVR MR|m/s^2 |V momentum tendency from Advection terms - 169 |Um_Cori | 50 | 170 |UUR MR|m/s^2 |U momentum tendency from Coriolis term - 170 |Vm_Cori | 50 | 169 |VVR MR|m/s^2 |V momentum tendency from Coriolis term - 171 |Um_dPHdx| 50 | 172 |UUR MR|m/s^2 |U momentum tendency from Hydrostatic Pressure grad - 172 |Vm_dPHdy| 50 | 171 |VVR MR|m/s^2 |V momentum tendency from Hydrostatic Pressure grad - 173 |Um_Ext | 50 | 174 |UUR MR|m/s^2 |U momentum tendency from external forcing - 174 |Vm_Ext | 50 | 173 |VVR MR|m/s^2 |V momentum tendency from external forcing - 175 |Um_AdvZ3| 50 | 176 |UUR MR|m/s^2 |U momentum tendency from Vorticity Advection - 176 |Vm_AdvZ3| 50 | 175 |VVR MR|m/s^2 |V momentum tendency from Vorticity Advection - 177 |Um_AdvRe| 50 | 178 |UUR MR|m/s^2 |U momentum tendency from vertical Advection (Explicit part) - 178 |Vm_AdvRe| 50 | 177 |VVR MR|m/s^2 |V momentum tendency from vertical Advection (Explicit part) - 179 |VISrI_Um| 50 | |WU LR|m^4/s^2 |Vertical Viscous Flux of U momentum (Implicit part) - 180 |VISrI_Vm| 50 | |WV LR|m^4/s^2 |Vertical Viscous Flux of V momentum (Implicit part) - 181 |EXFhs | 1 | |SM U1|W/m^2 |Sensible heat flux into ocean, >0 increases theta - 182 |EXFhl | 1 | |SM U1|W/m^2 |Latent heat flux into ocean, >0 increases theta - 183 |EXFlwnet| 1 | |SM U1|W/m^2 |Net upward longwave radiation, >0 decreases theta - 184 |EXFswnet| 1 | |SM U1|W/m^2 |Net upward shortwave radiation, >0 decreases theta - 185 |EXFlwdn | 1 | |SM U1|W/m^2 |Downward longwave radiation, >0 increases theta - 186 |EXFswdn | 1 | |SM U1|W/m^2 |Downward shortwave radiation, >0 increases theta - 187 |EXFqnet | 1 | |SM U1|W/m^2 |Net upward heat flux (turb+rad), >0 decreases theta - 188 |EXFtaux | 1 | |UM U1|N/m^2 |zonal surface wind stress, >0 increases uVel - 189 |EXFtauy | 1 | |VM U1|N/m^2 |meridional surface wind stress, >0 increases vVel - 190 |EXFuwind| 1 | |UM U1|m/s |zonal 10-m wind speed, >0 increases uVel - 191 |EXFvwind| 1 | |VM U1|m/s |meridional 10-m wind speed, >0 increases uVel - 192 |EXFwspee| 1 | |SM U1|m/s |10-m wind speed modulus ( >= 0 ) - 193 |EXFatemp| 1 | |SM U1|degK |surface (2-m) air temperature - 194 |EXFaqh | 1 | |SM U1|kg/kg |surface (2-m) specific humidity - 195 |EXFevap | 1 | |SM U1|m/s |evaporation, > 0 increases salinity - 196 |EXFpreci| 1 | |SM U1|m/s |precipitation, > 0 decreases salinity - 197 |EXFsnow | 1 | |SM U1|m/s |snow precipitation, > 0 decreases salinity - 198 |EXFempmr| 1 | |SM U1|m/s |net upward freshwater flux, > 0 increases salinity - 199 |EXFpress| 1 | |SM U1|N/m^2 |atmospheric pressure field ------------------------------------------------------------------------------------- - Num |<-Name->|Levs| mate |<- code ->|<-- Units -->|<- Tile (max=80c) ------------------------------------------------------------------------------------- - 200 |EXFroff | 1 | |SM U1|m/s |river runoff, > 0 decreases salinity - 201 |EXFroft | 1 | |SM U1|deg C |river runoff temperature - 202 |EXFsalfx| 1 | |SM U1|psu.kg/m^2/s |upward salt flux, > 0 decreases salinity - 203 |GGL90TKE| 50 | |SM LR|m^2/s^2 |GGL90 sub-grid turbulent kinetic energy - 204 |GGL90Lmx| 50 | |SM LR|m |Mixing length scale - 205 |GGL90Prl| 50 | |SM LR|1 |Prandtl number used in GGL90 - 206 |GGL90ArU| 50 | |SM LR|m^2/s |GGL90 eddy viscosity at U-point - 207 |GGL90ArV| 50 | |SM LR|m^2/s |GGL90 eddy viscosity at V-point - 208 |GGL90Kr | 50 | |SM LR|m^2/s |GGL90 diffusion coefficient for temperature - 209 |GGL90flx| 1 | |SM L1|m^3/s^3 |Surface flux of TKE - 210 |GGL90tau| 1 | |SM L1|m^3/s^3 |Work done by the wind - 211 |GM_VisbK| 1 | |SM P M1|m^2/s |Mixing coefficient from Visbeck etal parameterization - 212 |GM_hTrsL| 1 | |SM P M1|m |Base depth (>0) of the Transition Layer - 213 |GM_baseS| 1 | |SM P M1|1 |Slope at the base of the Transition Layer - 214 |GM_rLamb| 1 | |SM P M1|1/m |Slope vertical gradient at Trans. Layer Base (=recip.Lambda) - 215 |GM_Kux | 50 | 216 |UU P MR|m^2/s |K_11 element (U.point, X.dir) of GM-Redi tensor - 216 |GM_Kvy | 50 | 215 |VV P MR|m^2/s |K_22 element (V.point, Y.dir) of GM-Redi tensor - 217 |GM_Kuz | 50 | 218 |UU MR|m^2/s |K_13 element (U.point, Z.dir) of GM-Redi tensor - 218 |GM_Kvz | 50 | 217 |VV MR|m^2/s |K_23 element (V.point, Z.dir) of GM-Redi tensor - 219 |GM_Kwx | 50 | 220 |UM LR|m^2/s |K_31 element (W.point, X.dir) of GM-Redi tensor - 220 |GM_Kwy | 50 | 219 |VM LR|m^2/s |K_32 element (W.point, Y.dir) of GM-Redi tensor - 221 |GM_Kwz | 50 | |WM P LR|m^2/s |K_33 element (W.point, Z.dir) of GM-Redi tensor - 222 |GM_PsiX | 50 | 223 |UU LR|m^2/s |GM Bolus transport stream-function : U component - 223 |GM_PsiY | 50 | 222 |VV LR|m^2/s |GM Bolus transport stream-function : V component - 224 |GM_KuzTz| 50 | 225 |UU MR|degC.m^3/s |Redi Off-diagonal Temperature flux: X component - 225 |GM_KvzTz| 50 | 224 |VV MR|degC.m^3/s |Redi Off-diagonal Temperature flux: Y component - 226 |GM_KwzTz| 50 | |WM LR|degC.m^3/s |Redi main-diagonal vertical Temperature flux - 227 |GM_ubT | 50 | 228 |UUr MR|degC.m^3/s |Zonal Mass-Weight Bolus Transp of Pot Temp - 228 |GM_vbT | 50 | 227 |VVr MR|degC.m^3/s |Meridional Mass-Weight Bolus Transp of Pot Temp - 229 |SIarea | 1 | |SM M1|m^2/m^2 |SEAICE fractional ice-covered area [0 to 1] - 230 |SIareaPR| 1 | |SM M1|m^2/m^2 |SIarea preceeding ridging process - 231 |SIareaPT| 1 | |SM M1|m^2/m^2 |SIarea preceeding thermodynamic growth/melt - 232 |SIheff | 1 | |SM M1|m |SEAICE effective ice thickness (avg. within grid cell) - 233 |SIheffPT| 1 | |SM M1|m |SIheff preceeeding thermodynamic growth/melt - 234 |SIhsnow | 1 | |SM M1|m |SEAICE effective snow thickness - 235 |SIhsnoPT| 1 | |SM M1|m |SIhsnow preceeeding thermodynamic growth/melt - 236 |SIhsalt | 1 | |SM M1|g/m^2 |SEAICE effective salinity - 237 |SItices | 1 | 229 |SM C M1|K |Surface Temperature over Sea-Ice (area weighted) - 238 |SIuice | 1 | 239 |UU M1|m/s |SEAICE x-dir. ice velocity (m/s) - 239 |SIvice | 1 | 238 |VV M1|m/s |SEAICE y-dir. ice velocity (m/s) - 240 |SIfu | 1 | 241 |UU U1|N/m^2 |SEAICE zonal surface wind stress, >0 increases uVel - 241 |SIfv | 1 | 240 |VV U1|N/m^2 |SEAICE merid. surface wind stress, >0 increases vVel - 242 |SIuwind | 1 | 243 |UM U1|m/s |SEAICE zonal 10-m wind speed, >0 increases uVel - 243 |SIvwind | 1 | 242 |VM U1|m/s |SEAICE meridional 10-m wind speed, >0 increases uVel - 244 |SIqnet | 1 | |SM U1|W/m^2 |Ocean surface heatflux, turb+rad, >0 decreases theta - 245 |SIqsw | 1 | |SM U1|W/m^2 |Ocean surface shortwave radiat., >0 decreases theta - 246 |SIatmQnt| 1 | |SM U1|W/m^2 |Net atmospheric heat flux, >0 decreases theta - 247 |SItflux | 1 | |SM U1|W/m^2 |Same as TFLUX but incl seaice (>0 incr T decr H) - 248 |SIaaflux| 1 | |SM U1|W/m^2 |conservative ocn<->seaice adv. heat flux adjust. - 249 |SIhl | 1 | |SM U1|W/m^2 |Latent heat flux into ocean, >0 increases theta - 250 |SIqneto | 1 | |SM U1|W/m^2 |Open Ocean Part of SIqnet, turb+rad, >0 decr theta - 251 |SIqneti | 1 | |SM U1|W/m^2 |Ice Covered Part of SIqnet, turb+rad, >0 decr theta - 252 |SIempmr | 1 | |SM U1|kg/m^2/s |Ocean surface freshwater flux, > 0 increases salt - 253 |SIatmFW | 1 | |SM U1|kg/m^2/s |Net freshwater flux from atmosphere & land (+=down) - 254 |SIsnPrcp| 1 | |SM U1|kg/m^2/s |Snow precip. (+=dw) over Sea-Ice (area weighted) - 255 |SIfwSubl| 1 | |SM U1|kg/m^2/s |Potential sublimation freshwater flux, >0 decr. ice - 256 |SIacSubl| 1 | |SM U1|kg/m^2/s |Actual sublimation freshwater flux, >0 decr. ice - 257 |SIrsSubl| 1 | |SM U1|kg/m^2/s |Residual subl. freshwater flux, >0 taken from ocn - 258 |SIactLHF| 1 | |SM U1|W/m^2 |Actual latent heat flux over ice - 259 |SImaxLHF| 1 | |SM U1|W/m^2 |Maximum latent heat flux over ice - 260 |SIaQbOCN| 1 | |SM M1|m/s |Potential HEFF rate of change by ocean ice flux - 261 |SIaQbATC| 1 | |SM M1|m/s |Potential HEFF rate of change by atm flux over ice - 262 |SIaQbATO| 1 | |SM M1|m/s |Potential HEFF rate of change by open ocn atm flux - 263 |SIdHbOCN| 1 | |SM M1|m/s |HEFF rate of change by ocean ice flux - 264 |SIdSbATC| 1 | |SM M1|m/s |HSNOW rate of change by atm flux over sea ice - 265 |SIdSbOCN| 1 | |SM M1|m/s |HSNOW rate of change by ocean ice flux - 266 |SIdHbATC| 1 | |SM M1|m/s |HEFF rate of change by atm flux over sea ice - 267 |SIdHbATO| 1 | |SM M1|m/s |HEFF rate of change by open ocn atm flux - 268 |SIdHbFLO| 1 | |SM M1|m/s |HEFF rate of change by flooding snow - 269 |SIdAbATO| 1 | |SM M1|m^2/m^2/s |Potential AREA rate of change by open ocn atm flux - 270 |SIdAbATC| 1 | |SM M1|m^2/m^2/s |Potential AREA rate of change by atm flux over ice - 271 |SIdAbOCN| 1 | |SM M1|m^2/m^2/s |Potential AREA rate of change by ocean ice flux - 272 |SIdA | 1 | |SM M1|m^2/m^2/s |AREA rate of change (net) - 273 |ADVxHEFF| 1 | 274 |UU M1|m.m^2/s |Zonal Advective Flux of eff ice thickn - 274 |ADVyHEFF| 1 | 273 |VV M1|m.m^2/s |Meridional Advective Flux of eff ice thickn - 275 |SIuheff | 1 | 276 |UU M1|m^2/s |Zonal Transport of eff ice thickn (centered) - 276 |SIvheff | 1 | 275 |VV M1|m^2/s |Meridional Transport of eff ice thickn (centered) - 277 |DFxEHEFF| 1 | 278 |UU M1|m^2/s |Zonal Diffusive Flux of eff ice thickn - 278 |DFyEHEFF| 1 | 277 |VV M1|m^2/s |Meridional Diffusive Flux of eff ice thickn - 279 |ADVxAREA| 1 | 280 |UU M1|m^2/m^2.m^2/s |Zonal Advective Flux of fract area - 280 |ADVyAREA| 1 | 279 |VV M1|m^2/m^2.m^2/s |Meridional Advective Flux of fract area - 281 |DFxEAREA| 1 | 282 |UU M1|m^2/m^2.m^2/s |Zonal Diffusive Flux of fract area - 282 |DFyEAREA| 1 | 281 |VV M1|m^2/m^2.m^2/s |Meridional Diffusive Flux of fract area - 283 |ADVxSNOW| 1 | 284 |UU M1|m.m^2/s |Zonal Advective Flux of eff snow thickn - 284 |ADVySNOW| 1 | 283 |VV M1|m.m^2/s |Meridional Advective Flux of eff snow thickn - 285 |DFxESNOW| 1 | 286 |UU M1|m.m^2/s |Zonal Diffusive Flux of eff snow thickn - 286 |DFyESNOW| 1 | 285 |VV M1|m.m^2/s |Meridional Diffusive Flux of eff snow thickn - 287 |ADVxSSLT| 1 | 288 |UU M1|psu.m^2/s |Zonal Advective Flux of seaice salinity - 288 |ADVySSLT| 1 | 287 |VV M1|psu.m^2/s |Meridional Advective Flux of seaice salinity - 289 |DFxESSLT| 1 | 290 |UU M1|psu.m^2/s |Zonal Diffusive Flux of seaice salinity - 290 |DFyESSLT| 1 | 289 |VV M1|psu.m^2/s |Meridional Diffusive Flux of seaice salinity - 291 |SIpress | 1 | |SM M1|m^2/s^2 |SEAICE strength (with upper and lower limit) - 292 |SIzeta | 1 | |SM M1|m^2/s |SEAICE nonlinear bulk viscosity - 293 |SIeta | 1 | |SM M1|m^2/s |SEAICE nonlinear shear viscosity - 294 |SIsigI | 1 | |SM M1|no units |SEAICE normalized principle stress, component one - 295 |SIsigII | 1 | |SM M1|no units |SEAICE normalized principle stress, component two - 296 |SIshear | 1 | |SM M1|s^{-1} |SEAICE shear deformation - 297 |SIdelta | 1 | |SM M1|s^{-1} |SEAICE Delta deformation - 298 |SItensil| 1 | |SM M1|m^2/s^2 |SEAICE maximal tensile strength - 299 |PLUMEKB | 50 | |SM MR| |fractional plume: [0-1] (unitless) ------------------------------------------------------------------------------------- - Num |<-Name->|Levs| mate |<- code ->|<-- Units -->|<- Tile (max=80c) ------------------------------------------------------------------------------------- - 300 |oceSPtnd| 50 | |SM MR|g/m^2/s |salt tendency due to salt plume flux >0 increases salinity - 301 |oceSPflx| 1 | |SM U1|g/m^2/s |net surface Salt flux rejected into the ocean during freezing, (+=down), - 302 |oceSPDep| 1 | |SM U1|m |Salt plume depth based on density criterion (>0) - 303 |EVEL | 50 | 304 |UMR MR|m/s |Eastward Velocity (m/s) (cell center) - 304 |NVEL | 50 | 303 |VMR MR|m/s |Northward Velocity (m/s) (cell center) - 305 |EVELMASS| 50 | 306 |UMR MR|m/s |Eastward Geometry-Weighted Velocity (m/s) (cell center) - 306 |NVELMASS| 50 | 305 |VMR MR|m/s |Northward Geometry-Weighted Velocity (m/s) (cell center) - 307 |UVELSTAR| 50 | 308 |UUR MR|m/s |X-Comp of Bolus Velocity (m/s) weighted by hFacW - 308 |VVELSTAR| 50 | 307 |VVR MR|m/s |Y-Comp of Bolus Velocity (m/s) weighted by hFacS - 309 |WVELSTAR| 50 | |WM LR|m/s |Vertical Component of Bolus Velocity (r_units/s) - 310 |EVELSTAR| 50 | 311 |UMR MR|m/s |Eastward Component of Bolus Velocity (m/s) - 311 |NVELSTAR| 50 | 310 |VMR MR|m/s |Northward Component of Bolus Velocity (m/s) - 312 |oceTAUE | 1 | 313 |UM U1|N/m^2 |eastward surface wind stress, >0 increases eVel - 313 |oceTAUN | 1 | 312 |VM U1|N/m^2 |northward surf. wind stress, >0 increases nVel - 314 |EXFtaue | 1 | 315 |UM U1|N/m^2 |eastward surface wind stress over open water, >0 increases eVel - 315 |EXFtaun | 1 | 314 |VM U1|N/m^2 |northward surf. wind stress over open water, >0 increases nVel - 316 |EXFewind| 1 | 317 |UM U1|m/s |eastward 10-m wind velocity over open water, >0 increases eVel - 317 |EXFnwind| 1 | 316 |VM U1|m/s |northward 10-m wind velocity over open water, >0 increases nVel - 318 |SIeice | 1 | 319 |UM M1|m/s |eastward ice-velocity - 319 |SInice | 1 | 318 |VM M1|m/s |northward ice-velocity - 320 |SIfwThru| 1 | |SM U1|kg/m^2/s |Freshwater flux through sea-ice to ocean (+=downward) ------------------------------------------------------------------------------------- - Num |<-Name->|Levs| mate |<- code ->|<-- Units -->|<- Tile (max=80c) ------------------------------------------------------------------------------------- diff --git a/ECCOv4 Release 5/.DS_Store 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z%7By!DGSn2NW&oExd`4ai?_c11$U#2g1>ls=@>{>NMj*oLmCGO^K;>^4N@MY@sRL- ziULRzAYuNWknr!re5J$J2#VpP#tbblg1;s7mVBtt!&eY|+E-XcPP$^iHb~52P03Kiux&QzG delta 33 pcmZp;!Q60zd4mQMqv+(i6XKg4m~>vSPiWmM8IyZ+bMdQQMgZPO4blJr diff --git a/ECCOv4 Release 5/metadata/PODAAC_datasets-revised.csv b/ECCOv4 Release 5/metadata/PODAAC_datasets-revised.csv deleted file mode 100644 index ad53319..0000000 --- a/ECCOv4 Release 5/metadata/PODAAC_datasets-revised.csv +++ /dev/null @@ -1,76 +0,0 @@ -concept-id,DATASET.LONG_NAME,DATASET.SHORT_NAME,DATASET.FILENAME,DATASET.PERSISTENT_ID,DATASET.DESCRIPTION,DATASET_POLICY.ACCESS_TYPE,DATASET_POLICY.VIEW_ONLINE,DATASET_CITATION.CREATOR,DATASET_CITATION.RELEASE_DATE_LONG,DATASET_CITATION.VERSION,DATASET_LOCATION_POLICY.BASE_PATH,DATASET_LOCATION_POLICY.TYPE -C1990404801-POCLOUD,"ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Daily Mean 0.5 Degree (Version 4 Release 4)",ECCO_L4_ATM_STATE_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-ATM44,"This dataset contains daily-averaged atmosphere surface temperature, humidity, wind, and pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404814-POCLOUD,"ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Monthly Mean 0.5 Degree (Version 4 Release 4)",ECCO_L4_ATM_STATE_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-ATM44,"This dataset contains monthly-averaged atmosphere surface temperature, humidity, wind, and pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543823-POCLOUD,"ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Daily Mean llc90 Grid (Version 4 Release 4)",ECCO_L4_ATM_STATE_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-ATM44,"This dataset provides daily-averaged atmosphere surface temperature, humidity, winds, and pressure on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543805-POCLOUD,"ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Monthly Mean llc90 Grid (Version 4 Release 4)",ECCO_L4_ATM_STATE_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-ATM44,"This dataset provides monthly-averaged atmosphere surface temperature, humidity, winds, and pressure on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404807-POCLOUD,ECCO Gent-McWilliams Ocean Bolus Velocity - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_BOLUS_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-BOL44,"This dataset contains daily-averaged Gent-McWilliams ocean bolus velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404805-POCLOUD,ECCO Gent-McWilliams Ocean Bolus Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_BOLUS_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-BOL44,"This dataset contains monthly-averaged Gent-McWilliams ocean bolus velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543824-POCLOUD,ECCO Gent-McWilliams Ocean Bolus Velocity - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_BOLUS_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-BOL44,"This dataset provides daily-averaged Gent-McWilliams ocean bolus velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543745-POCLOUD,ECCO Gent-McWilliams Ocean Bolus Velocity - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_BOLUS_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-BOL44,"This dataset provides monthly-averaged Gent-McWilliams ocean bolus ocean velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404793-POCLOUD,"ECCO Ocean Density, Stratification, and Hydrostatic Pressure - Daily Mean 0.5 Degree (Version 4 Release 4)",ECCO_L4_DENS_STRAT_PRESS_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-ODE44,"This dataset contains daily-averaged ocean density, stratification, and hydrostatic pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404798-POCLOUD,"ECCO Ocean Density, Stratification, and Hydrostatic Pressure - Monthly Mean 0.5 Degree (Version 4 Release 4)",ECCO_L4_DENS_STRAT_PRESS_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-ODE44,"This dataset contains monthly-averaged ocean density, stratification, and hydrostatic pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543727-POCLOUD,"ECCO Ocean Density, Stratification, and Hydrostatic Pressure - Daily Mean llc90 Grid (Version 4 Release 4)",ECCO_L4_DENS_STRAT_PRESS_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-ODE44,"This dataset provides daily-averaged ocean density, stratification, and hydrostatic pressure on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543735-POCLOUD,"ECCO Ocean Density, Stratification, and Hydrostatic Pressure - Monthly Mean llc90 Grid (Version 4 Release 4)",ECCO_L4_DENS_STRAT_PRESS_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-ODE44,"This dataset provides monthly-averaged ocean density, stratification, and hydrostatic pressure on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404818-POCLOUD,ECCO Ocean and Sea-Ice Surface Freshwater Fluxes - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_FRESH_FLUX_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-FRE44,"This dataset contains daily-averaged ocean and sea-ice surface freshwater fluxes interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404792-POCLOUD,ECCO Ocean and Sea-Ice Surface Freshwater Fluxes - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_FRESH_FLUX_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-FRE44,"This dataset contains monthly-averaged ocean and sea-ice surface freshwater fluxes interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543820-POCLOUD,ECCO Ocean and Sea-Ice Surface Freshwater Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_FRESH_FLUX_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-FRE44,"This dataset provides daily-averaged ocean and sea-ice surface freshwater fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543803-POCLOUD,ECCO Ocean and Sea-Ice Surface Freshwater Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_FRESH_FLUX_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-FRE44,"This dataset provides monthly-averaged ocean and sea-ice surface freshwater fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543729-POCLOUD,ECCO Global Mean Atmospheric Surface Pressure - Snapshot (Version 4 Release 4),ECCO_L4_GMAP_TIME_SERIES_SNAPSHOT_V4R4,GLOBAL_MEAN_ATM_SURFACE_PRES_snap_ECCO_V4r4_1D.nc,PODAAC-ECTSS-MAP44,"This dataset provides instantaneous hourly global mean atmospheric pressure from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543819-POCLOUD,ECCO Global Mean Sea Level - Daily Mean (Version 4 Release 4),ECCO_L4_GMSL_TIME_SERIES_DAILY_V4R4,GLOBAL_MEAN_SEA_LEVEL_day_mean_ECCO_V4r4.nc,PODAAC-ECTSD-MSL44,"This dataset provides daily-averaged global mean sea level from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543742-POCLOUD,ECCO Global Mean Sea Level - Monthly Mean (Version 4 Release 4),ECCO_L4_GMSL_TIME_SERIES_MONTHLY_V4R4,GLOBAL_MEAN_SEA_LEVEL_mon_mean_ECCO_V4r4.nc,PODAAC-ECTSM-MSL44,"This dataset provides monthly-averaged global mean sea level from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404788-POCLOUD,ECCO Ocean and Sea-Ice Surface Heat Fluxes - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_HEAT_FLUX_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-HEA44,"This dataset contains daily-averaged ocean and sea-ice surface heat fluxes interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404812-POCLOUD,ECCO Ocean and Sea-Ice Surface Heat Fluxes - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_HEAT_FLUX_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-HEA44,"This dataset contains monthly-averaged ocean and sea-ice surface heat fluxes interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543712-POCLOUD,ECCO Ocean and Sea-Ice Surface Heat Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_HEAT_FLUX_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-HEA44,"This dataset provides daily-averaged ocean and sea-ice surface heat fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543811-POCLOUD,ECCO Ocean and Sea-Ice Surface Heat Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_HEAT_FLUX_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-HEA44,"This dataset provides monthly-averaged ocean and sea-ice surface heat fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404810-POCLOUD,ECCO Ocean Mixed Layer Depth - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_MIXED_LAYER_DEPTH_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-OML44,"This dataset contains daily-averaged ocean mixed layer depth interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404819-POCLOUD,ECCO Ocean Mixed Layer Depth - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_MIXED_LAYER_DEPTH_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-OML44,"This dataset contains monthly-averaged ocean mixed layer depth interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543734-POCLOUD,ECCO Ocean Mixed Layer Depth - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_MIXED_LAYER_DEPTH_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-OML44,"This dataset provides daily-averaged ocean mixed layer depth on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543741-POCLOUD,ECCO Ocean Mixed Layer Depth - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_MIXED_LAYER_DEPTH_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-OML44,"This dataset provides monthly-averaged ocean mixed layer depth on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404797-POCLOUD,ECCO Ocean Bottom Pressure - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_OBP_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-OBP44,"This dataset contains daily-averaged ocean bottom pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404791-POCLOUD,ECCO Ocean Bottom Pressure - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_OBP_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-OBP44,"This dataset contains monthly-averaged ocean bottom pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543737-POCLOUD,ECCO Ocean Bottom Pressure - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OBP_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-OBP44,"This dataset provides daily-averaged ocean bottom pressure and model ocean bottom pressure anomaly on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543806-POCLOUD,ECCO Ocean Bottom Pressure - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OBP_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-OBP44,"This dataset provides monthly-averaged ocean bottom pressure and model ocean bottom pressure anomaly on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543804-POCLOUD,ECCO Ocean Bottom Pressure - Snapshot llc90 Grid (Version 4 Release 4),ECCO_L4_OBP_LLC0090GRID_SNAPSHOT_V4R4,not empty,PODAAC-ECL5S-OBP44,"This dataset provides instantaneous ocean bottom pressure and model ocean bottom pressure anomaly on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543726-POCLOUD,ECCO Ocean Three-Dimensional Momentum Tendency - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_MOMENTUM_TEND_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-3MT44,"This dataset provides daily-averaged ocean three-dimensional momentum tendency on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543702-POCLOUD,ECCO Ocean Three-Dimensional Momentum Tendency - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_MOMENTUM_TEND_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-3MT44,"This dataset provides monthly-averaged ocean three-dimensional momentum tendency on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543814-POCLOUD,ECCO Ocean Three-Dimensional Salinity Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_SALINITY_FLUX_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-3SF44,"This dataset provides daily-averaged ocean three-dimensional salinity fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543752-POCLOUD,ECCO Ocean Three-Dimensional Salinity Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_SALINITY_FLUX_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-3SF44,"This dataset provides monthly-averaged ocean three-dimensional salinity fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543812-POCLOUD,ECCO Ocean Three-Dimensional Potential Temperature Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_TEMPERATURE_FLUX_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-3TF44,"This dataset provides daily-averaged ocean three-dimensional potential temperature fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543740-POCLOUD,ECCO Ocean Three-Dimensional Potential Temperature Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_TEMPERATURE_FLUX_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-3TF44,"This dataset provides monthly-averaged ocean three-dimensional potential temperature fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543699-POCLOUD,ECCO Ocean Three-Dimensional Volume Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_VOLUME_FLUX_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-3VF44,"This dataset provides daily-averaged ocean three-dimensional volume fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543739-POCLOUD,ECCO Ocean Three-Dimensional Volume Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_VOLUME_FLUX_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-3VF44,"This dataset provides monthly-averaged ocean three-dimensional volume fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543818-POCLOUD,ECCO Gent-McWilliams Bolus Transport Streamfunction - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_BOLUS_STREAMFUNCTION_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-STF44,"This dataset provides daily-averaged Gent-McWilliams ocean bolus transport streamfunction on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543733-POCLOUD,ECCO Gent-McWilliams Bolus Transport Streamfunction - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_BOLUS_STREAMFUNCTION_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-STF44,"This dataset provides monthly-averaged Gent-McWilliams ocean bolus transport streamfunction on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404811-POCLOUD,ECCO Ocean Velocity - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_OCEAN_VEL_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-OVE44,"This dataset contains daily-averaged ocean velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404823-POCLOUD,ECCO Ocean Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_OCEAN_VEL_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-OVE44,"This dataset contains monthly-averaged ocean velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543808-POCLOUD,ECCO Ocean Velocity - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_VEL_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-OVE44,"This dataset provides daily-averaged ocean velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543732-POCLOUD,ECCO Ocean Velocity - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_VEL_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-OVE44,"This dataset provides monthly-averaged ocean velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543766-POCLOUD,ECCO SBO Core Products - Snapshot (Version 4 Release 4),ECCO_L4_SBO_CORE_TIME_SERIES_SNAPSHOT_V4R4,not empty,PODAAC-ECTSS-SBO44,"This dataset provides instantaneous hourly SBO core products from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404815-POCLOUD,ECCO Sea-Ice and Snow Concentration and Thickness - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SEA_ICE_CONC_THICKNESS_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-ICO44,"This dataset contains daily-averaged sea-ice and snow concentration and thickness interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404820-POCLOUD,ECCO Sea-Ice and Snow Concentration and Thickness - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SEA_ICE_CONC_THICKNESS_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-ICO44,"This dataset contains monthly-averaged sea-ice and snow concentration and thickness interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543763-POCLOUD,ECCO Sea-Ice and Snow Concentration and Thickness - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_CONC_THICKNESS_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-ICO44,"This dataset provides daily-averaged sea-ice and snow concentration, thickness, and pressure loading on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543764-POCLOUD,ECCO Sea-Ice and Snow Concentration and Thickness - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_CONC_THICKNESS_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-ICO44,"This dataset provides monthly-averaged sea-ice and snow concentration, thickness, and pressure loading on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543821-POCLOUD,ECCO Sea-Ice and Snow Concentration and Thickness - Snapshot llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_CONC_THICKNESS_LLC0090GRID_SNAPSHOT_V4R4,not empty,PODAAC-ECL5S-ICO44,"This dataset provides instantaneous sea-ice and snow concentration, thickness, and pressure loading on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543731-POCLOUD,ECCO Sea-Ice and Snow Horizontal Volume Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_HORIZ_VOLUME_FLUX_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-SIH44,"This dataset provides daily-averaged sea-ice and snow horizontal volume fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543724-POCLOUD,ECCO Sea-Ice and Snow Horizontal Volume Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_HORIZ_VOLUME_FLUX_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-SIH44,"This dataset provides monthly-averaged sea-ice and snow horizontal volume fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543807-POCLOUD,ECCO Sea-Ice Salt Plume Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_SALT_PLUME_FLUX_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-ISP44,"This dataset provides daily-averaged sea-ice salt plume fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543730-POCLOUD,ECCO Sea-Ice Salt Plume Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_SALT_PLUME_FLUX_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-ISP44,"This dataset provides monthly-averaged sea-ice salt plume fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404817-POCLOUD,ECCO Sea-Ice Velocity - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SEA_ICE_VELOCITY_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-SIV44,"This dataset contains daily-averaged sea-ice velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404790-POCLOUD,ECCO Sea-Ice Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SEA_ICE_VELOCITY_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-SIV44,"This dataset contains monthly-averaged sea-ice velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543765-POCLOUD,ECCO Sea-Ice Velocity - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_VELOCITY_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-SIV44,"This dataset provides daily-averaged sea-ice velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543700-POCLOUD,ECCO Sea-Ice Velocity - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_VELOCITY_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-SIV44,"This dataset provides monthly-averaged sea-ice velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543768-POCLOUD,ECCO Sea-Ice Velocity - Snapshot llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_VELOCITY_LLC0090GRID_SNAPSHOT_V4R4,not empty,PODAAC-ECL5S-SIV44,"This dataset provides instantaneous sea-ice velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404813-POCLOUD,ECCO Sea Surface Height - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SSH_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-SSH44,"This dataset contains daily-averaged dynamic sea surface height interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404799-POCLOUD,ECCO Sea Surface Height - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SSH_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-SSH44,"This dataset contains monthly-averaged dynamic sea surface height interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543744-POCLOUD,ECCO Sea Surface Height - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SSH_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-SSH44,"This dataset provides daily-averaged dynamic sea surface height and model sea level anomaly on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543813-POCLOUD,ECCO Sea Surface Height - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-SSH44,"This dataset provides monthly-averaged dynamic sea surface height and model sea level anomaly on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543817-POCLOUD,ECCO Sea Surface Height - Snapshot llc90 Grid (Version 4 Release 4),ECCO_L4_SSH_LLC0090GRID_SNAPSHOT_V4R4,not empty,PODAAC-ECL5S-SSH44,"This dataset provides instantaneous dynamic sea surface height and model sea level anomaly on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include dynamic sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; dynamic sea surface temperature (SST) from satellite radiometers [AVHRR], dynamic sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404808-POCLOUD,ECCO Ocean and Sea-Ice Surface Stress - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_STRESS_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-STR44,"This dataset contains daily-averaged ocean and sea-ice surface stress interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404796-POCLOUD,ECCO Ocean and Sea-Ice Surface Stress - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_STRESS_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-STR44,"This dataset contains monthly-averaged ocean and sea-ice surface stress interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543704-POCLOUD,ECCO Ocean and Sea-Ice Surface Stress - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_STRESS_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-STR44,"This dataset provides daily-averaged ocean and sea-ice surface stress on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543760-POCLOUD,ECCO Ocean and Sea-Ice Surface Stress - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_STRESS_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-STR44,"This dataset provides monthly-averaged ocean and sea-ice surface stress on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404821-POCLOUD,ECCO Ocean Temperature and Salinity - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_TEMP_SALINITY_05DEG_DAILY_V4R4,not empty,PODAAC-ECG5D-OTS44,"This dataset contains daily-averaged ocean potential temperature and salinity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404795-POCLOUD,ECCO Ocean Temperature and Salinity - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_TEMP_SALINITY_05DEG_MONTHLY_V4R4,not empty,PODAAC-ECG5M-OTS44,"This dataset contains monthly-averaged ocean potential temperature and salinity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL, -C1991543736-POCLOUD,ECCO Ocean Temperature and Salinity - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_TEMP_SALINITY_LLC0090GRID_DAILY_V4R4,not empty,PODAAC-ECL5D-OTS44,"This dataset provides daily-averaged ocean potential temperature and salinity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Ocean and sea-ice state estimates from the 'Estimating the Circulation and Climate of the Ocean' are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric state, FLUX, and transports. ECCO V4r4 is a free-running solution of 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. V4r4 data constraints include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean potential temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL, -C1991543728-POCLOUD,ECCO Ocean Temperature and Salinity - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_TEMP_SALINITY_LLC0090GRID_MONTHLY_V4R4,not empty,PODAAC-ECL5M-OTS44,"This dataset provides monthly-averaged ocean potential temperature and salinity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Ocean and sea-ice state estimates from the 'Estimating the Circulation and Climate of the Ocean' are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric state, FLUX, and transports. ECCO V4r4 is a free-running solution of 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. V4r4 data constraints include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean potential temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL, -C1991543757-POCLOUD,ECCO Ocean Temperature and Salinity - Snapshot llc90 Grid (Version 4 Release 4),ECCO_L4_TEMP_SALINITY_LLC0090GRID_SNAPSHOT_V4R4,not empty,PODAAC-ECL5S-OTS44,"This dataset provides instantaneous ocean potential temperature and salinity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Ocean and sea-ice state estimates from the 'Estimating the Circulation and Climate of the Ocean' are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric state, FLUX, and transports. ECCO V4r4 is a free-running solution of 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. V4r4 data constraints include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean potential temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL, diff --git a/ECCOv4 Release 5/metadata/PODAAC_datasets-revised_20210226.5.csv b/ECCOv4 Release 5/metadata/PODAAC_datasets-revised_20210226.5.csv deleted file mode 100644 index dbbecad..0000000 --- a/ECCOv4 Release 5/metadata/PODAAC_datasets-revised_20210226.5.csv +++ /dev/null @@ -1,80 +0,0 @@ -concept-id,DATASET.LONG_NAME,DATASET.SHORT_NAME,DATASET.FILENAME,DATASET.PERSISTENT_ID,DATASET.DESCRIPTION,DATASET_POLICY.ACCESS_TYPE,DATASET_POLICY.VIEW_ONLINE,DATASET_CITATION.CREATOR,DATASET_CITATION.RELEASE_DATE_LONG,DATASET_CITATION.VERSION,DATASET_LOCATION_POLICY.BASE_PATH,DATASET_LOCATION_POLICY.TYPE -C1990404801-POCLOUD,"ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Daily Mean 0.5 Degree (Version 4 Release 4)",ECCO_L4_ATM_STATE_05DEG_DAILY_V4R4,ATM_SURFACE_TEMP_HUM_WIND_PRES_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-ATM44,"This dataset provides daily-averaged atmosphere surface temperature, humidity, wind, and pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404814-POCLOUD,"ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Monthly Mean 0.5 Degree (Version 4 Release 4)",ECCO_L4_ATM_STATE_05DEG_MONTHLY_V4R4,ATM_SURFACE_TEMP_HUM_WIND_PRES_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-ATM44,"This dataset provides monthly-averaged atmosphere surface temperature, humidity, wind, and pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543823-POCLOUD,"ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Daily Mean llc90 Grid (Version 4 Release 4)",ECCO_L4_ATM_STATE_LLC0090GRID_DAILY_V4R4,ATM_SURFACE_TEMP_HUM_WIND_PRES_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-ATM44,"This dataset provides daily-averaged atmosphere surface temperature, humidity, winds, and pressure on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543805-POCLOUD,"ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Monthly Mean llc90 Grid (Version 4 Release 4)",ECCO_L4_ATM_STATE_LLC0090GRID_MONTHLY_V4R4,ATM_SURFACE_TEMP_HUM_WIND_PRES_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-ATM44,"This dataset provides monthly-averaged atmosphere surface temperature, humidity, winds, and pressure on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404807-POCLOUD,ECCO Gent-McWilliams Ocean Bolus Velocity - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_BOLUS_05DEG_DAILY_V4R4,OCEAN_BOLUS_VELOCITY_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-BOL44,"This dataset provides daily-averaged Gent-McWilliams ocean bolus velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404805-POCLOUD,ECCO Gent-McWilliams Ocean Bolus Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_BOLUS_05DEG_MONTHLY_V4R4,OCEAN_BOLUS_VELOCITY_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-BOL44,"This dataset provides monthly-averaged Gent-McWilliams ocean bolus velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543824-POCLOUD,ECCO Gent-McWilliams Ocean Bolus Velocity - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_BOLUS_LLC0090GRID_DAILY_V4R4,OCEAN_BOLUS_VELOCITY_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-BOL44,"This dataset provides daily-averaged Gent-McWilliams ocean bolus velocity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543745-POCLOUD,ECCO Gent-McWilliams Ocean Bolus Velocity - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_BOLUS_LLC0090GRID_MONTHLY_V4R4,OCEAN_BOLUS_VELOCITY_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-BOL44,"This dataset provides monthly-averaged Gent-McWilliams bolus ocean velocity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404793-POCLOUD,"ECCO Ocean Density, Stratification, and Hydrostatic Pressure - Daily Mean 0.5 Degree (Version 4 Release 4)",ECCO_L4_DENS_STRAT_PRESS_05DEG_DAILY_V4R4,OCEAN_DENS_STRAT_PRESS_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-ODE44,"This dataset provides daily-averaged ocean density, stratification, and hydrostatic pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404798-POCLOUD,"ECCO Ocean Density, Stratification, and Hydrostatic Pressure - Monthly Mean 0.5 Degree (Version 4 Release 4)",ECCO_L4_DENS_STRAT_PRESS_05DEG_MONTHLY_V4R4,OCEAN_DENS_STRAT_PRESS_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-ODE44,"This dataset provides monthly-averaged ocean density, stratification, and hydrostatic pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543727-POCLOUD,"ECCO Ocean Density, Stratification, and Hydrostatic Pressure - Daily Mean llc90 Grid (Version 4 Release 4)",ECCO_L4_DENS_STRAT_PRESS_LLC0090GRID_DAILY_V4R4,OCEAN_DENS_STRAT_PRESS_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-ODE44,"This dataset provides daily-averaged ocean density, stratification, and hydrostatic pressure on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543735-POCLOUD,"ECCO Ocean Density, Stratification, and Hydrostatic Pressure - Monthly Mean llc90 Grid (Version 4 Release 4)",ECCO_L4_DENS_STRAT_PRESS_LLC0090GRID_MONTHLY_V4R4,OCEAN_DENS_STRAT_PRESS_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-ODE44,"This dataset provides monthly-averaged ocean density, stratification, and hydrostatic pressure on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404818-POCLOUD,ECCO Ocean and Sea-Ice Surface Freshwater Fluxes - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_FRESH_FLUX_05DEG_DAILY_V4R4,OCEAN_AND_ICE_SURFACE_FW_FLUX_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-FRE44,"This dataset provides daily-averaged ocean and sea-ice surface freshwater fluxes interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404792-POCLOUD,ECCO Ocean and Sea-Ice Surface Freshwater Fluxes - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_FRESH_FLUX_05DEG_MONTHLY_V4R4,OCEAN_AND_ICE_SURFACE_FW_FLUX_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-FRE44,"This dataset provides monthly-averaged ocean and sea-ice surface freshwater fluxes interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543820-POCLOUD,ECCO Ocean and Sea-Ice Surface Freshwater Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_FRESH_FLUX_LLC0090GRID_DAILY_V4R4,OCEAN_AND_ICE_SURFACE_FW_FLUX_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-FRE44,"This dataset provides daily-averaged ocean and sea-ice surface freshwater fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543803-POCLOUD,ECCO Ocean and Sea-Ice Surface Freshwater Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_FRESH_FLUX_LLC0090GRID_MONTHLY_V4R4,OCEAN_AND_ICE_SURFACE_FW_FLUX_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-FRE44,"This dataset provides monthly-averaged ocean and sea-ice surface freshwater fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543729-POCLOUD,ECCO Global Mean Atmospheric Pressure - Snapshot (Version 4 Release 4),ECCO_L4_GMAP_TIME_SERIES_SNAPSHOT_V4R4,GLOBAL_MEAN_ATM_SURFACE_PRES_snap_ECCO_V4r4_1D.nc,PODAAC-ECTSS-MAP44,"This dataset provides instantaneous hourly global mean atmospheric surface pressure over the ocean and sea-ice from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543819-POCLOUD,ECCO Global Mean Sea Level - Daily Mean (Version 4 Release 4),ECCO_L4_GMSL_TIME_SERIES_DAILY_V4R4,GLOBAL_MEAN_SEA_LEVEL_day_mean_ECCO_V4r4_1D.nc,PODAAC-ECTSD-MSL44,"This dataset provides daily-averaged global mean sea level anomalies including barystatic and sterodynamic terms from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543742-POCLOUD,ECCO Global Mean Sea Level - Monthly Mean (Version 4 Release 4),ECCO_L4_GMSL_TIME_SERIES_MONTHLY_V4R4,GLOBAL_MEAN_SEA_LEVEL_mon_mean_ECCO_V4r4_1D.nc,PODAAC-ECTSM-MSL44,"This dataset provides monthly-averaged global mean sea level anomalies including barystatic and sterodynamic terms from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404788-POCLOUD,ECCO Ocean and Sea-Ice Surface Heat Fluxes - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_HEAT_FLUX_05DEG_DAILY_V4R4,OCEAN_AND_ICE_SURFACE_HEAT_FLUX_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-HEA44,"This dataset provides daily-averaged ocean and sea-ice surface heat fluxes interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404812-POCLOUD,ECCO Ocean and Sea-Ice Surface Heat Fluxes - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_HEAT_FLUX_05DEG_MONTHLY_V4R4,OCEAN_AND_ICE_SURFACE_HEAT_FLUX_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-HEA44,"This dataset provides monthly-averaged ocean and sea-ice surface heat fluxes interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543712-POCLOUD,ECCO Ocean and Sea-Ice Surface Heat Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_HEAT_FLUX_LLC0090GRID_DAILY_V4R4,OCEAN_AND_ICE_SURFACE_HEAT_FLUX_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-HEA44,"This dataset provides daily-averaged ocean and sea-ice surface heat fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543811-POCLOUD,ECCO Ocean and Sea-Ice Surface Heat Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_HEAT_FLUX_LLC0090GRID_MONTHLY_V4R4,OCEAN_AND_ICE_SURFACE_HEAT_FLUX_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-HEA44,"This dataset provides monthly-averaged ocean and sea-ice surface heat fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404810-POCLOUD,ECCO Ocean Mixed Layer Depth - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_MIXED_LAYER_DEPTH_05DEG_DAILY_V4R4,OCEAN_MIXED_LAYER_DEPTH_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-OML44,"This dataset provides daily-averaged ocean mixed layer depth interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404819-POCLOUD,ECCO Ocean Mixed Layer Depth - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_MIXED_LAYER_DEPTH_05DEG_MONTHLY_V4R4,OCEAN_MIXED_LAYER_DEPTH_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-OML44,"This dataset provides monthly-averaged ocean mixed layer depth interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543734-POCLOUD,ECCO Ocean Mixed Layer Depth - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_MIXED_LAYER_DEPTH_LLC0090GRID_DAILY_V4R4,OCEAN_MIXED_LAYER_DEPTH_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-OML44,"This dataset provides daily-averaged ocean mixed layer depth on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543741-POCLOUD,ECCO Ocean Mixed Layer Depth - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_MIXED_LAYER_DEPTH_LLC0090GRID_MONTHLY_V4R4,OCEAN_MIXED_LAYER_DEPTH_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-OML44,"This dataset provides monthly-averaged ocean mixed layer depth on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404797-POCLOUD,ECCO Ocean Bottom Pressure - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_OBP_05DEG_DAILY_V4R4,OCEAN_BOTTOM_PRESSURE_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-OBP44,"This dataset provides daily-averaged ocean bottom pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404791-POCLOUD,ECCO Ocean Bottom Pressure - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_OBP_05DEG_MONTHLY_V4R4,OCEAN_BOTTOM_PRESSURE_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-OBP44,"This dataset provides monthly-averaged ocean bottom pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543737-POCLOUD,ECCO Ocean Bottom Pressure - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OBP_LLC0090GRID_DAILY_V4R4,OCEAN_BOTTOM_PRESSURE_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-OBP44,"This dataset provides daily-averaged ocean bottom pressure and model ocean bottom pressure anomaly on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543806-POCLOUD,ECCO Ocean Bottom Pressure - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OBP_LLC0090GRID_MONTHLY_V4R4,OCEAN_BOTTOM_PRESSURE_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-OBP44,"This dataset provides monthly-averaged ocean bottom pressure and model ocean bottom pressure anomaly on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543804-POCLOUD,ECCO Ocean Bottom Pressure - Snapshot llc90 Grid (Version 4 Release 4),ECCO_L4_OBP_LLC0090GRID_SNAPSHOT_V4R4,OCEAN_BOTTOM_PRESSURE_snap_1992-01-01T000000_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5S-OBP44,"This dataset provides instantaneous ocean bottom pressure and model ocean bottom pressure anomaly on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543726-POCLOUD,ECCO Ocean Three-Dimensional Momentum Tendency - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_MOMENTUM_TEND_LLC0090GRID_DAILY_V4R4,OCEAN_3D_MOMENTUM_TEND_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-3MT44,"This dataset provides daily-averaged three-dimensional ocean momentum tendency on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543702-POCLOUD,ECCO Ocean Three-Dimensional Momentum Tendency - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_MOMENTUM_TEND_LLC0090GRID_MONTHLY_V4R4,OCEAN_3D_MOMENTUM_TEND_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-3MT44,"This dataset provides monthly-averaged three-dimensional ocean momentum tendency on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543814-POCLOUD,ECCO Ocean Three-Dimensional Salinity Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_SALINITY_FLUX_LLC0090GRID_DAILY_V4R4,OCEAN_3D_SALINITY_FLUX_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-3SF44,"This dataset provides daily-averaged three-dimensional ocean salinity fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543752-POCLOUD,ECCO Ocean Three-Dimensional Salinity Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_SALINITY_FLUX_LLC0090GRID_MONTHLY_V4R4,OCEAN_3D_SALINITY_FLUX_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-3SF44,"This dataset provides monthly-averaged three-dimensional ocean salinity fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543812-POCLOUD,ECCO Ocean Three-Dimensional Potential Temperature Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_TEMPERATURE_FLUX_LLC0090GRID_DAILY_V4R4,OCEAN_3D_TEMPERATURE_FLUX_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-3TF44,"This dataset provides daily-averaged three-dimensional ocean potential temperature fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543740-POCLOUD,ECCO Ocean Three-Dimensional Potential Temperature Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_TEMPERATURE_FLUX_LLC0090GRID_MONTHLY_V4R4,OCEAN_3D_TEMPERATURE_FLUX_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-3TF44,"This dataset provides monthly-averaged three-dimensional ocean potential temperature fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543699-POCLOUD,ECCO Ocean Three-Dimensional Volume Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_VOLUME_FLUX_LLC0090GRID_DAILY_V4R4,OCEAN_3D_VOLUME_FLUX_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-3VF44,"This dataset provides daily-averaged three-dimensional ocean volume fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543739-POCLOUD,ECCO Ocean Three-Dimensional Volume Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_3D_VOLUME_FLUX_LLC0090GRID_MONTHLY_V4R4,OCEAN_3D_VOLUME_FLUX_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-3VF44,"This dataset provides monthly-averaged three-dimensional ocean volume fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543818-POCLOUD,ECCO Gent-McWilliams Bolus Transport Streamfunction - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_BOLUS_STREAMFUNCTION_LLC0090GRID_DAILY_V4R4,OCEAN_BOLUS_STREAMFUNCTION_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-STF44,"This dataset provides daily-averaged Gent-McWilliams ocean bolus transport streamfunctions on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543733-POCLOUD,ECCO Gent-McWilliams Bolus Transport Streamfunction - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_BOLUS_STREAMFUNCTION_LLC0090GRID_MONTHLY_V4R4,OCEAN_BOLUS_STREAMFUNCTION_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-STF44,"This dataset provides monthly-averaged Gent-McWilliams ocean bolus transport streamfunctions on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404811-POCLOUD,ECCO Ocean Velocity - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_OCEAN_VEL_05DEG_DAILY_V4R4,OCEAN_VELOCITY_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-OVE44,"This dataset provides daily-averaged ocean velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404823-POCLOUD,ECCO Ocean Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_OCEAN_VEL_05DEG_MONTHLY_V4R4,OCEAN_VELOCITY_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-OVE44,"This dataset provides monthly-averaged ocean velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543808-POCLOUD,ECCO Ocean Velocity - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_VEL_LLC0090GRID_DAILY_V4R4,OCEAN_VELOCITY_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-OVE44,"This dataset provides daily-averaged ocean velocity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543732-POCLOUD,ECCO Ocean Velocity - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_OCEAN_VEL_LLC0090GRID_MONTHLY_V4R4,OCEAN_VELOCITY_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-OVE44,"This dataset provides monthly-averaged ocean velocity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543766-POCLOUD,ECCO SBO Core Products - Snapshot (Version 4 Release 4),ECCO_L4_SBO_CORE_TIME_SERIES_SNAPSHOT_V4R4,SBO_CORE_PRODUCTS_snap_ECCO_V4r4_1D.nc,PODAAC-ECTSS-SBO44,"This dataset provides instantaneous hourly core products of the IERS Special Bureau for the Oceans from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404815-POCLOUD,ECCO Sea-Ice and Snow Concentration and Thickness - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SEA_ICE_CONC_THICKNESS_05DEG_DAILY_V4R4,SEA_ICE_CONC_THICKNESS_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-ICO44,"This dataset provides daily-averaged sea-ice and snow concentration and thickness interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404820-POCLOUD,ECCO Sea-Ice and Snow Concentration and Thickness - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SEA_ICE_CONC_THICKNESS_05DEG_MONTHLY_V4R4,SEA_ICE_CONC_THICKNESS_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-ICO44,"This dataset provides monthly-averaged sea-ice and snow concentration and thickness interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543763-POCLOUD,ECCO Sea-Ice and Snow Concentration and Thickness - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_CONC_THICKNESS_LLC0090GRID_DAILY_V4R4,SEA_ICE_CONC_THICKNESS_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-ICO44,"This dataset provides daily-averaged sea-ice and snow concentration, thickness, and pressure loading on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543764-POCLOUD,ECCO Sea-Ice and Snow Concentration and Thickness - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_CONC_THICKNESS_LLC0090GRID_MONTHLY_V4R4,SEA_ICE_CONC_THICKNESS_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-ICO44,"This dataset provides monthly-averaged sea-ice and snow concentration, thickness, and pressure loading on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543821-POCLOUD,ECCO Sea-Ice and Snow Concentration and Thickness - Snapshot llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_CONC_THICKNESS_LLC0090GRID_SNAPSHOT_V4R4,SEA_ICE_CONC_THICKNESS_snap_1992-01-01T000000_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5S-ICO44,"This dataset provides instantaneous sea-ice and snow concentration, thickness, and pressure loading on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543731-POCLOUD,ECCO Sea-Ice and Snow Horizontal Volume Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_HORIZ_VOLUME_FLUX_LLC0090GRID_DAILY_V4R4,SEA_ICE_HORIZ_VOLUME_FLUX_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-SIH44,"This dataset provides daily-averaged sea-ice and snow horizontal volume fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543724-POCLOUD,ECCO Sea-Ice and Snow Horizontal Volume Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_HORIZ_VOLUME_FLUX_LLC0090GRID_MONTHLY_V4R4,SEA_ICE_HORIZ_VOLUME_FLUX_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-SIH44,"This dataset provides monthly-averaged sea-ice and snow horizontal volume fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543807-POCLOUD,ECCO Sea-Ice Salt Plume Fluxes - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_SALT_PLUME_FLUX_LLC0090GRID_DAILY_V4R4,SEA_ICE_SALT_PLUME_FLUX_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-ISP44,"This dataset provides daily-averaged sea-ice salt plume fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543730-POCLOUD,ECCO Sea-Ice Salt Plume Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_SALT_PLUME_FLUX_LLC0090GRID_MONTHLY_V4R4,SEA_ICE_SALT_PLUME_FLUX_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-ISP44,"This dataset provides monthly-averaged sea-ice salt plume fluxes on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404817-POCLOUD,ECCO Sea-Ice Velocity - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SEA_ICE_VELOCITY_05DEG_DAILY_V4R4,SEA_ICE_VELOCITY_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-SIV44,"This dataset provides daily-averaged sea-ice velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404790-POCLOUD,ECCO Sea-Ice Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SEA_ICE_VELOCITY_05DEG_MONTHLY_V4R4,SEA_ICE_VELOCITY_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-SIV44,"This dataset provides monthly-averaged sea-ice velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543765-POCLOUD,ECCO Sea-Ice Velocity - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_VELOCITY_LLC0090GRID_DAILY_V4R4,SEA_ICE_VELOCITY_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-SIV44,"This dataset provides daily-averaged sea-ice velocity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543700-POCLOUD,ECCO Sea-Ice Velocity - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_VELOCITY_LLC0090GRID_MONTHLY_V4R4,SEA_ICE_VELOCITY_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-SIV44,"This dataset provides monthly-averaged sea-ice velocity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543768-POCLOUD,ECCO Sea-Ice Velocity - Snapshot llc90 Grid (Version 4 Release 4),ECCO_L4_SEA_ICE_VELOCITY_LLC0090GRID_SNAPSHOT_V4R4,SEA_ICE_VELOCITY_snap_1992-01-01T000000_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5S-SIV44,"This dataset provides instantaneous sea-ice velocity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404813-POCLOUD,ECCO Sea Surface Height - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SSH_05DEG_DAILY_V4R4,SEA_SURFACE_HEIGHT_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-SSH44,"This dataset provides daily-averaged dynamic sea surface height interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404799-POCLOUD,ECCO Sea Surface Height - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_SSH_05DEG_MONTHLY_V4R4,SEA_SURFACE_HEIGHT_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-SSH44,"This dataset provides monthly-averaged dynamic sea surface height interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543744-POCLOUD,ECCO Sea Surface Height - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SSH_LLC0090GRID_DAILY_V4R4,SEA_SURFACE_HEIGHT_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-SSH44,"This dataset provides daily-averaged dynamic sea surface height and model sea level anomaly on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543813-POCLOUD,ECCO Sea Surface Height - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_SSH_LLC0090GRID_MONTHLY_V4R4,SEA_SURFACE_HEIGHT_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-SSH44,"This dataset provides monthly-averaged dynamic sea surface height and model sea level anomaly on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543817-POCLOUD,ECCO Sea Surface Height - Snapshot llc90 Grid (Version 4 Release 4),ECCO_L4_SSH_LLC0090GRID_SNAPSHOT_V4R4,SEA_SURFACE_HEIGHT_snap_1992-01-01T000000_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5S-SSH44,"This dataset provides instantaneous dynamic sea surface height and model sea level anomaly on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404808-POCLOUD,ECCO Ocean and Sea-Ice Surface Stress - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_STRESS_05DEG_DAILY_V4R4,OCEAN_AND_ICE_SURFACE_STRESS_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-STR44,"This dataset provides daily-averaged ocean and sea-ice surface stress interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404796-POCLOUD,ECCO Ocean and Sea-Ice Surface Stress - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_STRESS_05DEG_MONTHLY_V4R4,OCEAN_AND_ICE_SURFACE_STRESS_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-STR44,"This dataset provides monthly-averaged ocean and sea-ice surface stress interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543704-POCLOUD,ECCO Ocean and Sea-Ice Surface Stress - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_STRESS_LLC0090GRID_DAILY_V4R4,OCEAN_AND_ICE_SURFACE_STRESS_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-STR44,"This dataset provides daily-averaged ocean and sea-ice surface stress on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543760-POCLOUD,ECCO Ocean and Sea-Ice Surface Stress - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_STRESS_LLC0090GRID_MONTHLY_V4R4,OCEAN_AND_ICE_SURFACE_STRESS_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-STR44,"This dataset provides monthly-averaged ocean and sea-ice surface stress on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404821-POCLOUD,ECCO Ocean Temperature and Salinity - Daily Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_TEMP_SALINITY_05DEG_DAILY_V4R4,OCEAN_TEMPERATURE_SALINITY_day_mean_1992-01-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5D-OTS44,"This dataset provides daily-averaged ocean potential temperature and salinity interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1990404795-POCLOUD,ECCO Ocean Temperature and Salinity - Monthly Mean 0.5 Degree (Version 4 Release 4),ECCO_L4_TEMP_SALINITY_05DEG_MONTHLY_V4R4,OCEAN_TEMPERATURE_SALINITY_mon_mean_1992-01_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5M-OTS44,"This dataset provides monthly-averaged ocean potential temperature and salinity interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543736-POCLOUD,ECCO Ocean Temperature and Salinity - Daily Mean llc90 Grid (Version 4 Release 4),ECCO_L4_TEMP_SALINITY_LLC0090GRID_DAILY_V4R4,OCEAN_TEMPERATURE_SALINITY_day_mean_1992-01-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5D-OTS44,"This dataset provides daily-averaged ocean potential temperature and salinity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543728-POCLOUD,ECCO Ocean Temperature and Salinity - Monthly Mean llc90 Grid (Version 4 Release 4),ECCO_L4_TEMP_SALINITY_LLC0090GRID_MONTHLY_V4R4,OCEAN_TEMPERATURE_SALINITY_mon_mean_1992-01_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5M-OTS44,"This dataset provides monthly-averaged ocean potential temperature and salinity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C1991543757-POCLOUD,ECCO Ocean Temperature and Salinity - Snapshot llc90 Grid (Version 4 Release 4),ECCO_L4_TEMP_SALINITY_LLC0090GRID_SNAPSHOT_V4R4,OCEAN_TEMPERATURE_SALINITY_snap_1992-01-01T000000_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5S-OTS44,"This dataset provides instantaneous ocean potential temperature and salinity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are data-constrained, dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states and fluxes. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C2013557893-POCLOUD,ECCO Geometry Parameters for the Lat-Lon-Cap 90 (llc90) Native Model Grid (Version 4 Release 4),ECCO_L4_GEOMETRY_LLC0090GRID_V4R4,GRID_GEOMETRY_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5A-GRD44,"This dataset provides geometric parameters for the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Parameters include areas and lengths of grid cell sides, horizontal and vertical coordinates of grid cell centers and corners, grid rotation angles, and global domain geometry including bathymetry and land/ocean masks. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C2013583732-POCLOUD,ECCO Geometry Parameters for the 0.5 degree Lat-Lon Model Grid (Version 4 Release 4),ECCO_L4_GEOMETRY_05DEG_V4R4,GRID_GEOMETRY_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5A-GRD44,"This dataset provides geometric parameters for the regular 0.5-degree lat-lon grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Parameters include areas and lengths of grid cell sides, horizontal and vertical coordinates of grid cell centers and corners, and global domain geometry including bathymetry and land/ocean masks. Global domain geometry fields are approximate, having been interpolated from the ECCO lat-lon-cap 90 (llc90) native model grid. Note: exact budget closure calculations require ECCO fields and geometric parameters provided on the llc90 grid. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C2013583906-POCLOUD,"ECCO Ocean 3D Gent-Mcwilliams, Redi, and Background Vertical Diffusivity Coefficients for the Lat-Lon-Cap 90 (llc90) Native Model Grid (Version 4 Release 4)",ECCO_L4_OCEAN_3D_MIX_COEFFS_LLC0090GRID_V4R4,OCEAN_3D_MIXING_COEFFS_ECCO_V4r4_native_llc0090.nc,PODAAC-ECL5A-MIX44,"This dataset provides 3D time-invariant coefficients for the Gent-McWilliams and Redi parameterizations and background vertical diffusivity on the lat-lon-cap 90 (llc90) native model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN -C2013584708-POCLOUD,"ECCO Ocean 3D Gent-Mcwilliams, Redi, and Background Vertical Diffusivity Coefficients for the 0.5 degree Lat-Lon Model Grid (Version 4 Release 4)",ECCO_L4_OCEAN_3D_MIX_COEFFS_05DEG_V4R4,OCEAN_3D_MIXING_COEFFS_ECCO_V4r4_latlon_0p50deg.nc,PODAAC-ECG5A-MIX44,"This dataset provides 3D time-invariant coefficients for the Gent-McWilliams and Redi parameterizations and background vertical diffusivity interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.",OPEN,N,ECCO,8/15/20,V4r4,NULL,ARCHIVE-OPEN