Merge pull request ECCO-GROUP#185 from ECCO-GROUP/V4r5_metadata

V4r5 metadata

ECCOv4 Release 5/metadata/DFrI_DFrE.txt

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+
+
+
+DFrI_TH: 
+================
+*. The vertical flux 3rd component from GM-Redi is due to Kwz tensor component
+and is easy to process implicitly (vertical flux function of vertical gradient)
+like any vertical diffusivity contribution; this is the case when implicitDiffusion=.TRUE.
+
+*. with useGMRedi= True, the 3rd component (from Kwz) is added to "DFrE_???" when using implicitDiffusion=.True. (implictDiffusion = True with V4r4)
+
+DFrE_TH: 
+================
+* For any tracer, when using pkg/gmredi, it adds to vertical fluxes
+two diffusive components that are proportional to horizontal tracer gradient
+(Kwx & Kwy components of the GM-Redi tensor) and these components are always
+evaluated explicitly (i.e., forward in time)
+
+* only be non-zero if pkg/gmredi activated. "
+
+* with useGMRedi=TRUE, the first 2 components (from Kwx & Kwy) are accounted for in diagnostics "DFrE_???";
+
+* These terms (Kwx & Kwy) are due to the Redi tensor but are increased by some GM 
+contributions when using the Skew-flux form (GM_AdvForm = .FALSE., i.e, the default).
+
+* with useGMRedi= True, the 3rd component (from Kwz) is added to "DFrE_???" when using implicitDiffusion=.False. (implictDiffusion = True with V4r4)
+
+

ECCOv4 Release 5/metadata/Dataset_Description_Template.txt

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+
+
+ECCO V4r4 Dataset Description Template
+======================================
+
+This dataset provides {time average} {parameter names} {grid variation} from the {release name}. {extra parameter description} {ECCO V4r4 Description}
+
+
+
+{time average} = 
+	1. "instantaneous"
+	2. "daily-averaged"
+	3. "monthly-averaged"
+	4. "" 
+		** leave blank for time invariant fields)
+
+{grid variation} = 
+	1. "on the lat-lon-cap 90 (llc90) native model grid"
+	2. "interpolated to a regular 0.5-degree grid"
+	3. "for the lat-lon-cap 90 (llc90) native model grid"  
+		** llc90 geometry dataset
+	4. "for the 0.5-degree grid"            
+		** lat-lon geometry dataset
+	5. ""                                   
+		** leave blank for 1D fields
+
+
+{release name} = "ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate"
+
+
+{ECCO V4r4 Description} = ** note in V4r4 netcdf files I used 'of the 1-degree global' **
+
+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.
+
+
+EXAMPLES:
+======================
+
+2D and 3D fields
+----------------
+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. 
+
+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.
+
+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. 
+
+1-D fields
+----------
+This dataset provides daily-averaged global mean sea level from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. 
+
+This dataset provides monthly-averaged global mean sea level from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate.
+
+Extra parameter description
+---------------------------
+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 grid cell face areas and side lengths; horizontal and vertical coordinates of grid cell centers and corners; horizontal grid rotation angles; and domain geometry including bathymetry and land/ocean masks.

ECCOv4 Release 5/metadata/ECCO Geometry and Mixing Dataset Info.txt

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+ECCO Geometry Parameters for the Lat-Lon-Cap 90 (llc90) Native Model Grid (Version 4 Release 4)       
+-----------------------------------------------------------------------------------------------
+filename: GRID_GEOMETRY_ECCO_v4r4_native_llc0090.nc 
+shortname: ECCO_L4_GEOMETRY_LLC0090GRID_V4R4
+
+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.
+
+
+
+ECCO Geometry Parameters for the 0.5 degree Lat-Lon Model Grid (Version 4 Release 4)
+------------------------------------------------------------------------------------
+filename: GRID_GEOMETRY_ECCO_v4r4_latlon_0p50deg.nc
+shortname: ECCO_L4_GEOMETRY_05DEG_V4R4
+
+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 and the horizontal and vertical coordinates of grid cell centers and corners. Additional information related to the global domain geometry (e.g., bathymetry and land/ocean masks) are also included. However, users should note these domain geometry fields are approximations because they have been interpolated from the ECCO lat-lon-cap 90 (llc90) native model grid. Users interested in exact budget closure calculations for volume, heat, salt, or momentum should use ECCO fields 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.
+
+
+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)
+-------------------------------------------------------------------------------------------
+filename: OCEAN_3D_MIXING_COEFFS_ECCO_V4r4_native_llc0090.nc
+shortname: ECCO_L4_OCEAN_3D_MIX_COEFFS_LLC0090GRID_V4R4
+
+This dataset provides 3D 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. Each of these three time-invariant, spatially-varying terms are estimated during the ECCO V4r4 optimization.
+
+
+ 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.
+
+
+ECCO Ocean 3D Gent-Mcwilliams, Redi, and Background Vertical Diffusivity Coefficients for the 0.5 degree Lat-Lon Model Grid (Version 4 Release 4)
+-------------------------------------------------------------------------------------------
+filename: OCEAN_3D_MIXING_COEFFS_ECCO_V4r4_latlon_0p50deg.nc
+shortname: ECCO_L4_OCEAN_3D_MIX_COEFFS_05DEG_V4R4
+
+
+This dataset provides 3D 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. Each of these three time-invariant, spatially-varying terms are estimated during the ECCO V4r4 optimization. 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.