diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 9303aa00..42cc02ab 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -4,6 +4,14 @@ Changelog
 This CHANGELOG documents only key changes between versions. For a full description 
 of all changes see https://github.com/ACCESS-NRI/access-nri-intake-catalog/releases
 
+v0.1.2
+------
+
+28/03/2024
+
+- Update schema and add wave realm
+- Expose metadata validation and template tools as console scripts
+
 v0.1.1
 ------
 
diff --git a/docs/usage/quickstart.ipynb b/docs/usage/quickstart.ipynb
index 3d6dafd3..77e02121 100644
--- a/docs/usage/quickstart.ipynb
+++ b/docs/usage/quickstart.ipynb
@@ -78,7 +78,7 @@
     {
      "data": {
       "text/html": [
-       "<p><strong>access_nri catalog with 94 source(s) across 2267 rows</strong>:</p> <div style='max-height: 300px; overflow: auto; width: fit-content'><div>\n",
+       "<p><strong>access_nri catalog with 94 source(s) across 2268 rows</strong>:</p> <div style='max-height: 300px; overflow: auto; width: fit-content'><div>\n",
        "<style scoped>\n",
        "    .dataframe tbody tr th:only-of-type {\n",
        "        vertical-align: middle;\n",
@@ -116,753 +116,753 @@
        "      <th>01deg_jra55v13_ryf9091</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.3 RYF9091  repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{3hr, 3mon, fx, 1mon, 1day}</td>\n",
-       "      <td>{sig2_m, passive_weddell, time_bounds, total_ocean_fprec, frazil_3d_int_z, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, total_ocean_calving_heat, vatm_m, flatn_ai_m, shear_m, sw_heat, tem...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, 3mon, 3hr, fx}</td>\n",
+       "      <td>{temp_global_ave, tx_trans_submeso, frz_onset_m, strairy_m, wt, vatm_m, swflx, uarea, u_dot_grad_vert_pv, pot_rho_2, total_ocean_calving_melt_heat, sfc_hflux_coupler, fmelttn_ai_m, total_ocean_hfl...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v140_iaf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{time_bounds, total_ocean_fprec, frazil_3d_int_z, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, total_ocean_calving_heat, vatm_m, flatn_ai_m, shear_m, dvidtd, sfc_salt_flux_coupler, runoff...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, temp_yflux_adv_int_z, strairy_m, wt, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv, pot_rho_2, total_ocean_calving_melt_heat, sfc_hflux_coupler, fmelttn_ai_m, total_ocean_...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v140_iaf_cycle2</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 2 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, time_bounds, bottom_temp_max, total_ocean_fprec, frazil_3d_int_z, surface_pot_temp_max, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, flatn_ai_m, fresh_m, shear_m, dvidtd...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, frazil, fsurf_ai_m, temp_yflux_adv_int_z, strairy_m, wt, vatm_m, swflx, hi, divu, uarea, u_dot_grad_vert_pv, pot_rho_2, fcondtop_ai_m, surface_temp_max, meltt, sfc_hflux_...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v140_iaf_cycle3</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 3 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, passive_weddell, time_bounds, bottom_temp_max, total_ocean_fprec, frazil_3d_int_z, surface_pot_temp_max, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, flatn_ai_m, fresh_m...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, frazil, fsurf_ai_m, temp_yflux_adv_int_z, strairy_m, wt, vatm_m, swflx, hi, divu, uarea, pot_rho_2, fcondtop_ai_m, meltt, sfc_hflux_coupler, sea_level_max, fmelttn_ai_m, ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v140_iaf_cycle4</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 4 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{3hr, 6hr, fx, 1mon, 1day}</td>\n",
-       "      <td>{pprod_gross_int100, time_bounds, frazil_3d_int_z, surface_pot_temp_max, fswabs_ai, lprec, total_ocean_evap, shear_m, dvidtd, npp3d, runoff, ty_trans_submeso, sea_level, drag_coeff, tau_y, dic_yfl...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, 3hr, 6hr, fx}</td>\n",
+       "      <td>{daidtd, paco2, surface_no3, divu, adic_yflux_adv, uarea, sfc_hflux_coupler, sea_level_max, o2_zflux_adv, dic, vvel_h, surface_fe, u, fprec, time_bnds, surface_pot_temp_max, hs, fprec_melt_heat, d...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v140_iaf_cycle4_jra55v150_extension</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Extensions of cycle 4 of 0.1 degree ACCESS-OM2 + WOMBAT BGC global model  configuration with JRA55-do v1.5.0 and v1.5.0.1 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, subhr, 1day}</td>\n",
-       "      <td>{meltb_m, phy, pprod_gross_int100, bottom_temp_max, time_bounds, total_ocean_fprec, src09, frazil_3d_int_z, surface_pot_temp_max, fswabs_ai, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, f...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{subhr, 1day, 1mon, fx}</td>\n",
+       "      <td>{dic_xflux_adv, temp_global_ave, paco2, pprod_gross_2d, temp_yflux_adv_int_z, frazil, daidtd, fsurf_ai_m, no3_int100, wt, fswthru_ai_m, strairy_m, surface_no3, swflx, hi, divu, adic_yflux_adv, uar...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v150_iaf_cycle1</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.5.0 OMIP2 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{time_bounds, frazil_3d_int_z, tx_trans, lprec, sfc_salt_flux_coupler, runoff, ty_trans_submeso, sea_level, geolat_t, ht, drag_coeff, tau_y, pot_rho_2, net_sfc_heating, aice_m, geolon_c, eta_t, km...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_yflux_adv_int_z, swflx, pot_rho_2, sfc_hflux_coupler, tx_trans_int_z, wfimelt, u, dyt, ty_trans_submeso, fprec, pbot_t, lw_heat, time_bnds, fprec_melt_heat, surface_salt, mld_max, v, sens_he...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_era5_iaf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 global model configuration with ERA5 interannual\\nforcing (1980-2021)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, bottom_temp_max, temp_xflux_gm_int_z, total_ocean_fprec, time_bounds, frazil_3d_int_z, surface_pot_temp_max, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, s...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, sea_level_max, alb...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_era5_ryf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 global model configuration with ERA5 RYF9091 repeat\\nyear forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, temp_xflux_gm_int_z, time_bounds, total_ocean_fprec, surface_pot_temp_max, frazil_3d_int_z, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, strintx_m, fswthru...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, al...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_era5comparison</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 global model configuration with JRA55-do v1.5.0\\ninterannual forcing (1980-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, bottom_temp_max, temp_xflux_gm_int_z, total_ocean_fprec, time_bounds, frazil_3d_int_z, surface_pot_temp_max, lprec, total_ocean_lprec, total_ocean_evap, strintx_m...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, swflx, hi, uarea, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, sea_level_max, albsni_m, f...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle1</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, salt_nonlocal_KPP, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle2</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, salt_nonlocal_KPP, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle3</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 3/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, salt_nonlocal_KPP, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle4</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 4/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, salt_nonlocal_KPP, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle5</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 5/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, salt_nonlocal_KPP, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle6</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 6/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, salt_nonlocal_KPP, temp_xflux_gm_int_z, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_ryf9091_gadi</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon, fx}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, total_ocean_fprec, frazil_3d_int_z, tx_trans, total_ocean_lprec, total_ocean_evap, total_ocean_calving_heat, vatm_m, strintx_m, fswthru_ai_m, flwdn_m...</td>\n",
+       "      <td>{temp_global_ave, frz_onset_m, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, uarea, fcondtop_ai_m, total_ocean_calving_melt_heat, fsurfn_ai_m, fresh_ai_m, albsni_m, fmelttn_ai_m, total_ocea...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_ryf_era5comparison</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0\\nRYF9091 repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, frazil_3d_int_z, surface_pot_temp_max, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, s...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, se...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_era5_iaf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 global model configuration with ERA5 interannual\\nforcing (1960-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, bottom_temp_max, temp_xflux_gm_int_z, total_ocean_fprec, time_bounds, frazil_3d_int_z, surface_pot_temp_max, tx_trans, lprec, total_ocean_lprec, total_ocean_evap,...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, ta...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_era5_ryf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 global model configuration with ERA5 RYF9091 repeat\\nyear forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, temp_xflux_gm_int_z, time_bounds, total_ocean_fprec, surface_pot_temp_max, frazil_3d_int_z, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, strintx_m, fswthru...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, fcondtopn_ai_m, fswthru_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, albsni...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_era5comparison</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0\\ninterannual forcing (1960-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, frazil_3d_int_z, surface_pot_temp_max, tx_trans, lprec, total_ocean_lprec, total_ocean_evap,...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, se...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle1</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle2</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 2/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle3</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 3/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle4</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 4/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle5</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 5/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle6</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 6/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle1</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coeff, tau_y, ANGLE, fswf...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, fresh_ai_m, sfc_hflux_coupler, sfc_salt_flux_runoff, dic, u, fprec, strinty_m, strintx_m, hs, dvidtt_m, fprec_melt_heat, sfc_hflux_from_water_prec, hs_m, ke_tot,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle10</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 10/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle11</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 11/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle12</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 12/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle13</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 13/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle14</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 14/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle15</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 15/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle16</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 16/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle17</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 17/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle18</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 18/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle19</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 19/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle2</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 2/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coeff, tau_y, ANGLE, fswf...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, fresh_ai_m, sfc_hflux_coupler, sfc_salt_flux_runoff, dic, u, fprec, strinty_m, strintx_m, hs, dvidtt_m, fprec_melt_heat, sfc_hflux_from_water_prec, hs_m, ke_tot,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle20</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 20/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle21</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 21/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle22</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 22/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle23</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 23/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle24</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 24/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle25</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 25/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle26</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 26/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle27</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 27/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle28</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 28/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle29</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 29/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle3</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 3/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coeff, tau_y, ANGLE, fswf...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, fresh_ai_m, sfc_hflux_coupler, sfc_salt_flux_runoff, dic, u, fprec, strinty_m, strintx_m, hs, dvidtt_m, fprec_melt_heat, sfc_hflux_from_water_prec, hs_m, ke_tot,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle30</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 30/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle31</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 31/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle32</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 32/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle33</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 33/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle34</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 34/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle35</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 35/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle36</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 36/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle37</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 37/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle38</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 38/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle39</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 39/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle4</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 4/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coeff, tau_y, ANGLE, fswf...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, fresh_ai_m, sfc_hflux_coupler, sfc_salt_flux_runoff, dic, u, fprec, strinty_m, strintx_m, hs, dvidtt_m, fprec_melt_heat, sfc_hflux_from_water_prec, hs_m, ke_tot,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle40</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 40/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle41</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 41/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle42</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 42/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle43</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 43/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle44</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 44/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle45</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 45/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle5</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 5/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle6</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 6/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle7</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 7/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, phy, fcondtopn_ai_m, time_bounds, vatm_m, strintx_m, fswthru_ai_m, flwdn_m, flatn_ai_m, shear_m, sss, dvidtd, albsni_m, sea_level, ANGLET, ANGLE, dvidtd_m, fswfac_m, snoice_m, te...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon}</td>\n",
+       "      <td>{temp_global_ave, frazil, strairy_m, fcondtopn_ai_m, fswthru_ai_m, vatm_m, hi, uarea, total_mass_seawater, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, albsni_m, fmelttn_ai_m, adic, dvidtt, alidr_ai_m,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle8</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 8/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle9</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 9/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_ryf9091_gadi</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon, fx}</td>\n",
-       "      <td>{temp_nonlocal_KPP_on_nrho, meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, temp_xflux_ndiffuse, total_ocean_fprec, frazil_3d_int_z, temp_xflux_submeso_on_nrho, tx_trans, total_ocean_lprec, total_oc...</td>\n",
+       "      <td>{temp_global_ave, mass_pmepr_on_nrho, tx_trans_submeso, frz_onset_m, temp_eta_smooth_on_nrho, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, uarea, fcondtop_ai_m, total_ocean_calving_melt_he...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55v14_ryf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 RYF9091\\nrepeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, surface_pot_temp_max, frazil_3d_int_z, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, strintx_m, fswthru...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, fcondtopn_ai_m, fswthru_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, albsni...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>HI_CN_05</th>\n",
        "      <td>{ACCESS-ESM1-5}</td>\n",
        "      <td>{Historical run using same configuration as CMIP6 ACCESS-ESM1.5 historical r1i1p1f1,  but with phosphorus limitation disabled within CASA-CNP}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{3hr, 1yr, 6hr, 1mon, 1day}</td>\n",
-       "      <td>{dissicnat_raw, rho_dzt, time_bounds, temp_tendency_expl, fswabs_ai, hblt_max, lprec, total_ocean_evap, fld_s03i236_max, dvidtd, fld_s30i111, runoff, ty_trans_submeso, sea_level, fld_s03i869, fld_...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1day, 1mon, 3hr, 1yr, 6hr}</td>\n",
+       "      <td>{daidtd, paco2, salt_tendency, pbot0, eta_u, fld_s00i113, divu, uarea, fld_s08i023, fld_s00i108, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s00i104, fld_s01i223, sfc_salt_flux_runoff, s...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>HI_C_05_r1</th>\n",
        "      <td>{ACCESS-ESM1-5}</td>\n",
        "      <td>{Historical run using same configuration as CMIP6 ACCESS-ESM1.5 historical r1i1p1f1,  but with nitrogen and phosphorus limitations disabled within CASA-CNP}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1yr, 1mon, 1day}</td>\n",
-       "      <td>{dissicnat_raw, rho_dzt, time_bounds, temp_tendency_expl, fswabs_ai, hblt_max, lprec, total_ocean_evap, fld_s03i236_max, dvidtd, runoff, ty_trans_submeso, sea_level, fld_s03i869, fld_s03i321, fld_...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1yr, 1day, 1mon}</td>\n",
+       "      <td>{daidtd, paco2, salt_tendency, pbot0, eta_u, fld_s00i113, divu, uarea, fld_s08i023, fld_s00i108, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s00i104, fld_s01i223, sfc_salt_flux_runoff, s...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>HI_nl_C_05_r1</th>\n",
        "      <td>{ACCESS-ESM1-5}</td>\n",
        "      <td>{Historical run using same configuration as CMIP6 ACCESS-ESM1.5 historical r1i1p1f1,  but with nitrogen and phosphorus limitations disabled within CASA-CNP, and land-use  change disabled}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1yr, 1mon, 1day}</td>\n",
-       "      <td>{dissicnat_raw, rho_dzt, time_bounds, temp_tendency_expl, fswabs_ai, hblt_max, lprec, total_ocean_evap, fld_s03i236_max, dvidtd, runoff, ty_trans_submeso, sea_level, fld_s03i869, fld_s03i321, fld_...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1yr, 1day, 1mon}</td>\n",
+       "      <td>{daidtd, paco2, salt_tendency, pbot0, eta_u, fld_s00i113, divu, uarea, fld_s08i023, fld_s00i108, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s00i104, fld_s01i223, sfc_salt_flux_runoff, s...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>HI_noluc_CN_05</th>\n",
        "      <td>{ACCESS-ESM1-5}</td>\n",
        "      <td>{Historical run using same configuration as CMIP6 ACCESS-ESM1.5 historical r1i1p1f1,  but with phosphorus limitation disabled within CASA-CNP, and land-use change disabled}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{3hr, 1yr, 6hr, 1mon, 1day}</td>\n",
-       "      <td>{dissicnat_raw, rho_dzt, time_bounds, temp_tendency_expl, fswabs_ai, hblt_max, lprec, total_ocean_evap, fld_s03i236_max, dvidtd, fld_s30i111, runoff, ty_trans_submeso, sea_level, fld_s03i869, fld_...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1day, 1mon, 3hr, 1yr, 6hr}</td>\n",
+       "      <td>{daidtd, paco2, salt_tendency, pbot0, eta_u, fld_s00i113, divu, uarea, fld_s08i023, fld_s00i108, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s00i104, fld_s01i223, sfc_salt_flux_runoff, s...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PI_GWL_B2035</th>\n",
        "      <td>{ACCESS-ESM1-5}</td>\n",
        "      <td>{Climate stabilization run at different global warming levels with zero C02  emissions and pre-industrial aerosols, starting in 2035 }</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1yr, 1mon, 1day}</td>\n",
-       "      <td>{dissicnat_raw, rho_dzt, time_bounds, temp_tendency_expl, fswabs_ai, hblt_max, lprec, total_ocean_evap, fld_s03i236_max, dvidtd, runoff, ty_trans_submeso, sea_level, fld_s03i869, fld_s03i321, fld_...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1yr, 1day, 1mon}</td>\n",
+       "      <td>{daidtd, paco2, salt_tendency, pbot0, eta_u, fld_s00i113, divu, uarea, fld_s08i023, fld_s00i108, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s00i104, fld_s01i223, sfc_salt_flux_runoff, s...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PI_GWL_B2040</th>\n",
        "      <td>{ACCESS-ESM1-5}</td>\n",
        "      <td>{Climate stabilization run at different global warming levels with zero C02  emissions and pre-industrial aerosols, starting in 2040}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1yr, 1mon, 1day}</td>\n",
-       "      <td>{dissicnat_raw, rho_dzt, time_bounds, temp_tendency_expl, fswabs_ai, hblt_max, lprec, total_ocean_evap, fld_s03i236_max, dvidtd, runoff, ty_trans_submeso, sea_level, fld_s03i869, fld_s03i321, fld_...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1yr, 1day, 1mon}</td>\n",
+       "      <td>{daidtd, paco2, salt_tendency, pbot0, eta_u, fld_s00i113, divu, uarea, fld_s08i023, fld_s00i108, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s00i104, fld_s01i223, sfc_salt_flux_runoff, s...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PI_GWL_B2045</th>\n",
        "      <td>{ACCESS-ESM1-5}</td>\n",
        "      <td>{Climate stabilization run at different global warming levels with zero C02  emissions and pre-industrial aerosols, starting in 2045}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1yr, 1mon, 1day}</td>\n",
-       "      <td>{dissicnat_raw, rho_dzt, time_bounds, temp_tendency_expl, fswabs_ai, hblt_max, lprec, total_ocean_evap, fld_s03i236_max, dvidtd, runoff, ty_trans_submeso, sea_level, fld_s03i869, fld_s03i321, fld_...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1yr, 1day, 1mon}</td>\n",
+       "      <td>{daidtd, paco2, salt_tendency, pbot0, eta_u, fld_s00i113, divu, uarea, fld_s08i023, fld_s00i108, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s00i104, fld_s01i223, sfc_salt_flux_runoff, s...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PI_GWL_B2050</th>\n",
        "      <td>{ACCESS-ESM1-5}</td>\n",
        "      <td>{Climate stabilization run at different global warming levels with zero C02  emissions and pre-industrial aerosols, starting in 2050}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1yr, 1mon, 1day}</td>\n",
-       "      <td>{dissicnat_raw, rho_dzt, time_bounds, temp_tendency_expl, fswabs_ai, hblt_max, lprec, total_ocean_evap, fld_s03i236_max, dvidtd, runoff, ty_trans_submeso, sea_level, fld_s03i869, fld_s03i321, fld_...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1yr, 1day, 1mon}</td>\n",
+       "      <td>{daidtd, paco2, salt_tendency, pbot0, eta_u, fld_s00i113, divu, uarea, fld_s08i023, fld_s00i108, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s00i104, fld_s01i223, sfc_salt_flux_runoff, s...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PI_GWL_B2055</th>\n",
        "      <td>{ACCESS-ESM1-5}</td>\n",
        "      <td>{Climate stabilization run at different global warming levels with zero C02  emissions and pre-industrial aerosols, starting in 2055}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1yr, 1mon, 1day}</td>\n",
-       "      <td>{dissicnat_raw, rho_dzt, time_bounds, temp_tendency_expl, fswabs_ai, hblt_max, lprec, total_ocean_evap, fld_s03i236_max, dvidtd, runoff, ty_trans_submeso, sea_level, fld_s03i869, fld_s03i321, fld_...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1yr, 1day, 1mon}</td>\n",
+       "      <td>{daidtd, paco2, salt_tendency, pbot0, eta_u, fld_s00i113, divu, uarea, fld_s08i023, fld_s00i108, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s00i104, fld_s01i223, sfc_salt_flux_runoff, s...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PI_GWL_B2060</th>\n",
        "      <td>{ACCESS-ESM1-5}</td>\n",
        "      <td>{Climate stabilization run at different global warming levels with zero C02  emissions and pre-industrial aerosols, starting in 2060}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1yr, 1mon, 1day}</td>\n",
-       "      <td>{dissicnat_raw, rho_dzt, time_bounds, temp_tendency_expl, fswabs_ai, hblt_max, lprec, total_ocean_evap, fld_s03i236_max, dvidtd, runoff, ty_trans_submeso, sea_level, fld_s03i869, fld_s03i321, fld_...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1yr, 1day, 1mon}</td>\n",
+       "      <td>{daidtd, paco2, salt_tendency, pbot0, eta_u, fld_s00i113, divu, uarea, fld_s08i023, fld_s00i108, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s00i104, fld_s01i223, sfc_salt_flux_runoff, s...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bx944</th>\n",
        "      <td>{ACCESS-CM2}</td>\n",
        "      <td>{Standard CMIP6 historical simulation, control experiment for by473 pacemaker experiment (948d8676-2c56-49db-8ea1-b80572b074c8)}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1mon, 1day}</td>\n",
-       "      <td>{fld_s34i101, rho_dzt, fld_s02i501, time_bounds, temp_tendency_expl, lprec, total_ocean_evap, hblt_max, fld_s03i236_max, fld_s02i302, runoff, ty_trans_submeso, temp_rhodzt, sea_level, sifllwdtop, ...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1day, 1mon}</td>\n",
+       "      <td>{fld_s34i109, salt_tendency, pbot0, eta_u, divu, uarea, sipr, fld_s08i023, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s01i223, sfc_salt_flux_runoff, sigma_rho, power_diss_wave, swflx_vi...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>by473</th>\n",
        "      <td>{ACCESS-CM2}</td>\n",
        "      <td>{Pacemaker variation of CMIP6 historical simulation, Topical Atlantic region replaced  with fixed SSTs from observations}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1mon, 1day}</td>\n",
-       "      <td>{fld_s34i101, rho_dzt, fld_s02i501, time_bounds, temp_tendency_expl, lprec, total_ocean_evap, hblt_max, fld_s03i236_max, fld_s02i302, runoff, ty_trans_submeso, temp_rhodzt, sea_level, sifllwdtop, ...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1day, 1mon}</td>\n",
+       "      <td>{fld_s34i109, salt_tendency, pbot0, eta_u, divu, uarea, sipr, fld_s08i023, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s01i223, sfc_salt_flux_runoff, sigma_rho, power_diss_wave, swflx_vi...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>by578</th>\n",
        "      <td>{ACCESS-CM2}</td>\n",
        "      <td>{Pacemaker variation of CMIP6 ssp245 simulation with Tropical Atlantic region replaced  with fixed SSTs from observations}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1mon, 1day}</td>\n",
-       "      <td>{fld_s34i101, rho_dzt, fld_s02i501, time_bounds, temp_tendency_expl, lprec, total_ocean_evap, hblt_max, fld_s03i236_max, fld_s02i302, runoff, ty_trans_submeso, temp_rhodzt, sea_level, sifllwdtop, ...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1day, 1mon}</td>\n",
+       "      <td>{fld_s34i109, salt_tendency, pbot0, eta_u, divu, uarea, sipr, fld_s08i023, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s01i223, sfc_salt_flux_runoff, sigma_rho, power_diss_wave, swflx_vi...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>by647</th>\n",
        "      <td>{ACCESS-CM2}</td>\n",
        "      <td>{Standard CMIP6 ssp245 simulation, control experiment for by578 pacemaker experiment (1fd9e682-d393-4b17-a9cd-934c3a48a1f8)}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1mon, 1day}</td>\n",
-       "      <td>{fld_s34i101, rho_dzt, fld_s02i501, time_bounds, temp_tendency_expl, lprec, total_ocean_evap, hblt_max, fld_s03i236_max, fld_s02i302, runoff, ty_trans_submeso, temp_rhodzt, sea_level, sifllwdtop, ...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1day, 1mon}</td>\n",
+       "      <td>{fld_s34i109, salt_tendency, pbot0, eta_u, divu, uarea, sipr, fld_s08i023, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s01i223, sfc_salt_flux_runoff, sigma_rho, power_diss_wave, swflx_vi...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bz687</th>\n",
        "      <td>{ACCESS-CM2}</td>\n",
        "      <td>{ACCESS-CM2 CMIP6 with 1 degree ocean. Present day atmospheric forcing with  1985-2014 mean GHG, aerosol emissions etc.}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1mon, 1day}</td>\n",
-       "      <td>{fld_s34i101, rho_dzt, fld_s02i501, time_bounds, temp_tendency_expl, lprec, total_ocean_evap, hblt_max, fld_s03i236_max, fld_s02i302, runoff, ty_trans_submeso, temp_rhodzt, sea_level, sifllwdtop, ...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1day, 1mon}</td>\n",
+       "      <td>{fld_s34i109, salt_tendency, pbot0, eta_u, divu, uarea, sipr, fld_s08i023, sfc_hflux_coupler, temp_merid_flux_gyre_atlantic, fld_s01i223, sfc_salt_flux_runoff, sigma_rho, power_diss_wave, swflx_vi...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>cj877</th>\n",
        "      <td>{ACCESS-CM2}</td>\n",
        "      <td>{ACCESS-CM2 with COSIMA OM2 0.25 degree ocean configuration. Present day  atmospheric forcing with 1985-2014 mean GHG, aerosol emissions etc.}</td>\n",
-       "      <td>{seaIce, atmos, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{fld_s34i101, fld_s02i501, time_bounds, frazil_3d_int_z, surface_pot_temp_max, lprec, total_ocean_evap, fld_s03i236_max, fld_s02i302, runoff, ty_trans_submeso, sea_level, sifllwdtop, drag_coeff, f...</td>\n",
+       "      <td>{ocean, seaIce, atmos}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{fld_s34i109, agm, divu, uarea, sipr, fld_s08i023, sfc_hflux_coupler, sea_level_max, fld_s01i223, sigma_rho, siforceintstry, fld_s03i822, fld_s30i404, sndmasssnf, mlt_onset, u, fprec, dardg1dt, fl...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>cmip5_al33</th>\n",
-       "      <td>{GFDL-HIRAM-C360, MPI-M-MPI-ESM-MR, CCCma-CanESM2, CanAM4, CNRM-CM5-2, GFDL-ESM2M, ECMWF-ERAINT, IPSL-CM5B-LR, NCC-NorESM1-M, CCSM4, FIO-ESM, HadGEM2-AO, IPSL-CM5A-MR, MIROC-MIROC5, GFDL-HIRAM-C18...</td>\n",
+       "      <td>{CFSv2-2011, CMCC-CMS, HadGEM2-CC, MRI-AGCM3-2S, MPI-ESM-MR, CESM1-CAM5-1-FV2, NorESM1-M, MRI-ESM1, MIROC-ESM, GISS-E2-H-CC, fio-esm, CESM1-CAM5, CanCM4, MIROC-MIROC5, IPSL-CM5A-MR, NCC-NorESM1-M,...</td>\n",
        "      <td>{Replicated CMIP5-era datasets catalogued by NCI}</td>\n",
-       "      <td>{ocnBgchem, landIce, land, none, aerosol, ocean, seaIce, atmos}</td>\n",
-       "      <td>{3hr, subhr, 1yr, 6hr, fx, 1mon, 1day}</td>\n",
-       "      <td>{fgdms, rsdscs, pr, clivi, bacc, reffclic, clt, mrlsl, tsn, wfo, orog, vo, rldssi, cSoilMedium, hfrunoffds, n2o, cLitterBelow, emiss, pop, fbddtdic, hus200, drydust, nep, inc, dtaus, rsu, tsAdjust...</td>\n",
+       "      <td>{landIce, ocnBgchem, atmos, land, aerosol, none, ocean, seaIce}</td>\n",
+       "      <td>{subhr, 1day, 1mon, 3hr, 1yr, 6hr, fx}</td>\n",
+       "      <td>{pso, loadbc, tnsclwmi, msftmrhoz, emiss, bacc, pbo, tnsclids, va200, clis, fddtdisi, va300, loadnh4, cVeg, wetsoa, lai, bmelt, talk, wetbc, tnhus, sconcpoa, residualFrac, clivi, ua700, tauu, reff...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>cmip5_rr3</th>\n",
-       "      <td>{CCCma-CanESM2, GFDL-ESM2M, ECMWF-ERAINT, IPSL-CM5B-LR, NCC-NorESM1-M, CCSM4, IPSL-CM5A-MR, MIROC-MIROC5, CNRM-CM5, MPI-ESM-LR, MPI-M-MPI-ESM-LR, IPSL-CM5A-LR, CNRM-CERFACS-CNRM-CM6-1-HR, NOAA-GFD...</td>\n",
+       "      <td>{CMCC-CMS, HadGEM2-CC, MPI-ESM-MR, NorESM1-M, CNRM-CERFACS-CNRM-CM6-1-HR, MIROC-ESM, MIROC-MIROC5, IPSL-CM5A-MR, NCC-NorESM1-M, CSIRO-Mk3-6-0, CNRM-CM5, ECMWF-ERAINT, NCAR-CCSM4, BNU-ESM, CCSM4, C...</td>\n",
        "      <td>{Australian CMIP5-era datasets catalogued by NCI}</td>\n",
-       "      <td>{landIce, land, none, aerosol, ocean, seaIce, atmos}</td>\n",
-       "      <td>{3hr, 6hr, 3mon, fx, 1hr, 1mon, 1day}</td>\n",
-       "      <td>{hus, rlus, mrro, emiso4, emiso2, sbl, rsdscs, pr, clivi, snd, usi, prveg, clt, zg850, cldnvi, hfxba, mrlsl, clh, msftyrhozba, v500, divice, dryso4, mlotst, wmo, basin, wfo, shrubFrac, orog, ta, v...</td>\n",
+       "      <td>{landIce, atmos, land, aerosol, none, ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, 3mon, 3hr, 1hr, 6hr, fx}</td>\n",
+       "      <td>{zg200, hfy, zg850, zg800, wmo, tsl, masscello, sfcWindmaxmax, mrro, baresoilFrac, concdms, wetso4, loadbc, pso, od550aer, concsoa, thetao, emiss, hfxba, sftof, concss, pbo, ta850, zg350, rsut, sf...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>cmip6_fs38</th>\n",
-       "      <td>{ACCESS-CM2, ACCESS-OM2, ACCESS-ESM1-5, ACCESS-OM2-025}</td>\n",
+       "      <td>{ACCESS-CM2, ACCESS-OM2, ACCESS-OM2-025, ACCESS-ESM1-5}</td>\n",
        "      <td>{Australian CMIP6-era datasets catalogued by NCI}</td>\n",
-       "      <td>{ocnBgchem, landIce, land, aerosol, ocean, seaIce, atmos}</td>\n",
-       "      <td>{3hr, 1yr, 6hr, fx, 1mon, 1day}</td>\n",
-       "      <td>{rsdscs, pr, clivi, clt, ocontemppsmadvect, tosga, wfo, zoocos, orog, vo, sifllwdtop, sifllatstop, cSoilMedium, sidmassmeltbot, ocontemptend, nep, siareas, rls, sfcWindmax, umo, simassacrossline, ...</td>\n",
+       "      <td>{landIce, ocnBgchem, atmos, land, aerosol, ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, 3hr, 1yr, 6hr, fx}</td>\n",
+       "      <td>{fgco2nat, mmrss, msftyrho, pso, sipr, pabigthetao, pbo, simpconc, rv850, sndmasssnf, cVeg, lai, fDeforestToProduct, intvaw, sisnhc, siu, talk, siflcondtop, dissicos, sisnconc, residualFrac, clivi...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>cmip6_oi10</th>\n",
-       "      <td>{NorESM2-MM, MIROC-ES2H, NorESM1-F, CMCC-CM2-HR4, E3SM-2-0-NARRM, FIO-ESM-2-0, NICAM16-8S, HadGEM3-GC31-LM, NorCPM1, EC-Earth3-Veg, MPI-ESM-1-2-HAM, NESM3, INM-CM5-0, UKESM1-0-LL, AWI-ESM-1-1-LR, ...</td>\n",
+       "      <td>{IPSL-CM6A-ATM-ICO-VHR, CanESM5, ECMWF-IFS-LR, HadGEM3-GC31-LL, MPI-ESM1-2-LR, TaiESM1, CIESM, GFDL-OM4p5B, NICAM16-7S, EC-Earth3P, NICAM16-9S, E3SM-1-1-ECA, ACCESS-OM2-025, CAMS-CSM1-0, MCM-UA-1-...</td>\n",
        "      <td>{Replicated CMIP6-era datasets catalogued by NCI}</td>\n",
-       "      <td>{ocnBgchem, landIce, land, aerosol, seaIce, ocean, atmos, atmosChem}</td>\n",
-       "      <td>{3hr, subhr, 1yr, 6hr, fx, 1hr, 1mon, 1day}</td>\n",
-       "      <td>{rsdscs, pr, clivi, clt, nLeaf, tsn, tosga, sisali, wfo, cTotFireLut, orog, vo, fFireAll, cSoilMedium, sios, cLitterBelow, sidmassmeltbot, nep, fGrazing, siareas, rls, thetaot2000, necbLut, nStem,...</td>\n",
+       "      <td>{landIce, ocnBgchem, atmos, land, aerosol, ocean, seaIce, atmosChem}</td>\n",
+       "      <td>{subhr, 1day, 1mon, 3hr, 1yr, 1hr, 6hr, fx}</td>\n",
+       "      <td>{netAtmosLandCO2Flux, mrroLut, fgcfc12, opottemppmdiff, fgco2nat, pso, pastureFracC4, pbo, rv850, sndmasssnf, fNLandToOcean, fProductDecompLut, necbLut, cVeg, lai, fDeforestToProduct, intvaw, siu,...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -979,601 +979,601 @@
        "      <th>01deg_jra55v13_ryf9091</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.3 RYF9091  repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{3hr, 3mon, fx, 1mon, 1day}</td>\n",
-       "      <td>{sig2_m, passive_weddell, time_bounds, total_ocean_fprec, frazil_3d_int_z, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, total_ocean_calving_heat, vatm_m, flatn_ai_m, shear_m, sw_heat, tem...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, 3mon, 3hr, fx}</td>\n",
+       "      <td>{temp_global_ave, tx_trans_submeso, frz_onset_m, strairy_m, wt, vatm_m, swflx, uarea, u_dot_grad_vert_pv, pot_rho_2, total_ocean_calving_melt_heat, sfc_hflux_coupler, fmelttn_ai_m, total_ocean_hfl...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v140_iaf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{time_bounds, total_ocean_fprec, frazil_3d_int_z, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, total_ocean_calving_heat, vatm_m, flatn_ai_m, shear_m, dvidtd, sfc_salt_flux_coupler, runoff...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, temp_yflux_adv_int_z, strairy_m, wt, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv, pot_rho_2, total_ocean_calving_melt_heat, sfc_hflux_coupler, fmelttn_ai_m, total_ocean_...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v140_iaf_cycle2</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 2 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, time_bounds, bottom_temp_max, total_ocean_fprec, frazil_3d_int_z, surface_pot_temp_max, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, flatn_ai_m, fresh_m, shear_m, dvidtd...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, frazil, fsurf_ai_m, temp_yflux_adv_int_z, strairy_m, wt, vatm_m, swflx, hi, divu, uarea, u_dot_grad_vert_pv, pot_rho_2, fcondtop_ai_m, surface_temp_max, meltt, sfc_hflux_...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v140_iaf_cycle3</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 3 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, passive_weddell, time_bounds, bottom_temp_max, total_ocean_fprec, frazil_3d_int_z, surface_pot_temp_max, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, flatn_ai_m, fresh_m...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, frazil, fsurf_ai_m, temp_yflux_adv_int_z, strairy_m, wt, vatm_m, swflx, hi, divu, uarea, pot_rho_2, fcondtop_ai_m, meltt, sfc_hflux_coupler, sea_level_max, fmelttn_ai_m, ...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v140_iaf_cycle4</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 4 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 OMIP2 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{3hr, 6hr, fx, 1mon, 1day}</td>\n",
-       "      <td>{pprod_gross_int100, time_bounds, frazil_3d_int_z, surface_pot_temp_max, fswabs_ai, lprec, total_ocean_evap, shear_m, dvidtd, npp3d, runoff, ty_trans_submeso, sea_level, drag_coeff, tau_y, dic_yfl...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, 3hr, 6hr, fx}</td>\n",
+       "      <td>{daidtd, paco2, surface_no3, divu, adic_yflux_adv, uarea, sfc_hflux_coupler, sea_level_max, o2_zflux_adv, dic, vvel_h, surface_fe, u, fprec, time_bnds, surface_pot_temp_max, hs, fprec_melt_heat, d...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v140_iaf_cycle4_jra55v150_extension</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Extensions of cycle 4 of 0.1 degree ACCESS-OM2 + WOMBAT BGC global model  configuration with JRA55-do v1.5.0 and v1.5.0.1 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, subhr, 1day}</td>\n",
-       "      <td>{meltb_m, phy, pprod_gross_int100, bottom_temp_max, time_bounds, total_ocean_fprec, src09, frazil_3d_int_z, surface_pot_temp_max, fswabs_ai, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, f...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{subhr, 1day, 1mon, fx}</td>\n",
+       "      <td>{dic_xflux_adv, temp_global_ave, paco2, pprod_gross_2d, temp_yflux_adv_int_z, frazil, daidtd, fsurf_ai_m, no3_int100, wt, fswthru_ai_m, strairy_m, surface_no3, swflx, hi, divu, adic_yflux_adv, uar...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>01deg_jra55v150_iaf_cycle1</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1 of 0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.5.0 OMIP2 interannual forcing}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{time_bounds, frazil_3d_int_z, tx_trans, lprec, sfc_salt_flux_coupler, runoff, ty_trans_submeso, sea_level, geolat_t, ht, drag_coeff, tau_y, pot_rho_2, net_sfc_heating, aice_m, geolon_c, eta_t, km...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_yflux_adv_int_z, swflx, pot_rho_2, sfc_hflux_coupler, tx_trans_int_z, wfimelt, u, dyt, ty_trans_submeso, fprec, pbot_t, lw_heat, time_bnds, fprec_melt_heat, surface_salt, mld_max, v, sens_he...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_era5_iaf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 global model configuration with ERA5 interannual\\nforcing (1980-2021)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, bottom_temp_max, temp_xflux_gm_int_z, total_ocean_fprec, time_bounds, frazil_3d_int_z, surface_pot_temp_max, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, s...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, sea_level_max, alb...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_era5_ryf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 global model configuration with ERA5 RYF9091 repeat\\nyear forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, temp_xflux_gm_int_z, time_bounds, total_ocean_fprec, surface_pot_temp_max, frazil_3d_int_z, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, strintx_m, fswthru...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, al...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_era5comparison</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 global model configuration with JRA55-do v1.5.0\\ninterannual forcing (1980-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, bottom_temp_max, temp_xflux_gm_int_z, total_ocean_fprec, time_bounds, frazil_3d_int_z, surface_pot_temp_max, lprec, total_ocean_lprec, total_ocean_evap, strintx_m...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, swflx, hi, uarea, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, sea_level_max, albsni_m, f...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle1</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, salt_nonlocal_KPP, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle2</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, salt_nonlocal_KPP, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle3</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 3/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, salt_nonlocal_KPP, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle4</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 4/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, salt_nonlocal_KPP, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle5</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 5/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, salt_nonlocal_KPP, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_iaf_omip2_cycle6</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 6/6 of 0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, salt_rivermix, fcondtopn_ai_m, rho_dzt, time_bounds, bottom_temp_max, total_ocean_fprec, salt_nonlocal_KPP, temp_xflux_gm_int_z, frazil_3d_int_z, surface_pot_temp_max, tx_trans, ...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{daidtd, temp_global_ave, tx_trans_submeso, agm, temp_yflux_adv_int_z, salt_tendency, frazil, fsurf_ai_m, wt, fswthru_ai_m, fcondtopn_ai_m, strairy_m, vatm_m, swflx, hi, uarea, u_dot_grad_vert_pv,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_ryf9091_gadi</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon, fx}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, total_ocean_fprec, frazil_3d_int_z, tx_trans, total_ocean_lprec, total_ocean_evap, total_ocean_calving_heat, vatm_m, strintx_m, fswthru_ai_m, flwdn_m...</td>\n",
+       "      <td>{temp_global_ave, frz_onset_m, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, uarea, fcondtop_ai_m, total_ocean_calving_melt_heat, fsurfn_ai_m, fresh_ai_m, albsni_m, fmelttn_ai_m, total_ocea...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_ryf_era5comparison</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0\\nRYF9091 repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, frazil_3d_int_z, surface_pot_temp_max, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, s...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, se...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_era5_iaf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 global model configuration with ERA5 interannual\\nforcing (1960-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, bottom_temp_max, temp_xflux_gm_int_z, total_ocean_fprec, time_bounds, frazil_3d_int_z, surface_pot_temp_max, tx_trans, lprec, total_ocean_lprec, total_ocean_evap,...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, ta...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_era5_ryf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 global model configuration with ERA5 RYF9091 repeat\\nyear forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, temp_xflux_gm_int_z, time_bounds, total_ocean_fprec, surface_pot_temp_max, frazil_3d_int_z, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, strintx_m, fswthru...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, fcondtopn_ai_m, fswthru_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, albsni...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_era5comparison</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0\\ninterannual forcing (1960-2019)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, frazil_3d_int_z, surface_pot_temp_max, tx_trans, lprec, total_ocean_lprec, total_ocean_evap,...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, se...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle1</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle2</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 2/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle3</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 3/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle4</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 4/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle5</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 5/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2_cycle6</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 6/6 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, surface_pot_temp_max, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coe...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, u_dot_grad_vert_pv, fresh_ai_m, sfc_hflux_coupler, sea_level_max, sfc_salt_flux_runoff, dic, surface_fe, u, fprec, strinty_m, strintx_m, surface_pot_temp_max, hs...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle1</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 1/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coeff, tau_y, ANGLE, fswf...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, fresh_ai_m, sfc_hflux_coupler, sfc_salt_flux_runoff, dic, u, fprec, strinty_m, strintx_m, hs, dvidtt_m, fprec_melt_heat, sfc_hflux_from_water_prec, hs_m, ke_tot,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle10</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 10/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle11</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 11/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle12</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 12/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle13</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 13/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle14</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 14/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle15</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 15/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle16</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 16/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle17</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 17/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle18</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 18/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle19</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 19/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle2</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 2/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coeff, tau_y, ANGLE, fswf...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, fresh_ai_m, sfc_hflux_coupler, sfc_salt_flux_runoff, dic, u, fprec, strinty_m, strintx_m, hs, dvidtt_m, fprec_melt_heat, sfc_hflux_from_water_prec, hs_m, ke_tot,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle20</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 20/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle21</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 21/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle22</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 22/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle23</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 23/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle24</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 24/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle25</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 25/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle26</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 26/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle27</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 27/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle28</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 28/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle29</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 29/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle3</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 3/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coeff, tau_y, ANGLE, fswf...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, fresh_ai_m, sfc_hflux_coupler, sfc_salt_flux_runoff, dic, u, fprec, strinty_m, strintx_m, hs, dvidtt_m, fprec_melt_heat, sfc_hflux_from_water_prec, hs_m, ke_tot,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle30</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 30/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle31</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 31/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle32</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 32/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle33</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 33/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle34</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 34/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle35</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 35/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle36</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 36/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle37</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 37/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle38</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 38/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle39</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 39/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle4</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 4/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{Tair_m, fcondtopn_ai_m, rho_dzt, time_bounds, frazil_3d_int_z, hblt_max, total_ocean_evap, lprec, shear_m, dvidtd, runoff, ty_trans_submeso, temp_rhodzt, sea_level, drag_coeff, tau_y, ANGLE, fswf...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{paco2, agm, salt_tendency, uarea, fresh_ai_m, sfc_hflux_coupler, sfc_salt_flux_runoff, dic, u, fprec, strinty_m, strintx_m, hs, dvidtt_m, fprec_melt_heat, sfc_hflux_from_water_prec, hs_m, ke_tot,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle40</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 40/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle41</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 41/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle42</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 42/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle43</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 43/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle44</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 44/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle45</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 45/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle5</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 5/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle6</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 6/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{salt_rivermix, horz_lap_diss, phy, rho_dzt, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, salt_nonlocal_KPP, frazil_3d_int_z, tx_trans, hblt_max, total_ocean_lprec, total_ocean_evap, lprec...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, paco2, tx_trans_submeso, temp_yflux_adv_int_z, salt_tendency, agm, wt, vatm_m, swflx, uarea, pot_rho_2, total_mass_seawater, sfc_hflux_coupler, dht, total_ocean_hflux_coupler, ad...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle7</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 7/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1yr, 1mon, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, phy, fcondtopn_ai_m, time_bounds, vatm_m, strintx_m, fswthru_ai_m, flwdn_m, flatn_ai_m, shear_m, sss, dvidtd, albsni_m, sea_level, ANGLET, ANGLE, dvidtd_m, fswfac_m, snoice_m, te...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1yr, 1day, 1mon}</td>\n",
+       "      <td>{temp_global_ave, frazil, strairy_m, fcondtopn_ai_m, fswthru_ai_m, vatm_m, hi, uarea, total_mass_seawater, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, albsni_m, fmelttn_ai_m, adic, dvidtt, alidr_ai_m,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle8</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 8/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_iaf_omip2spunup_cycle9</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Cycle 9/45 of 1 degree ACCESS-OM2-BGC global configuration with JRA55-do v1.4 OMIP2 spunup interannual forcing (1958-2018)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon}</td>\n",
-       "      <td>{det, salt_global_ave, tmask, dxt, fe, phy, tarea, uatm_m, caco3, alidr_ai_m, stf09, temp, time_bounds, dic, alidf_ai_m, TLAT, aicen_m, HTN, vatm_m, no3, uarea, alvdf_ai_m, fswup_m, sss, blkmask, ...</td>\n",
+       "      <td>{temp_global_ave, dyu, average_T1, sea_level, vatm_m, alidf_ai_m, ULON, uarea, total_mass_seawater, HTN, no3, dxu, eta_global, mld, aice_m, alvdr_ai_m, adic, stf09, ANGLET, NCAT, alvdf_ai_m, TLON,...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_ryf9091_gadi</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon, fx}</td>\n",
-       "      <td>{temp_nonlocal_KPP_on_nrho, meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, temp_xflux_ndiffuse, total_ocean_fprec, frazil_3d_int_z, temp_xflux_submeso_on_nrho, tx_trans, total_ocean_lprec, total_oc...</td>\n",
+       "      <td>{temp_global_ave, mass_pmepr_on_nrho, tx_trans_submeso, frz_onset_m, temp_eta_smooth_on_nrho, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, uarea, fcondtop_ai_m, total_ocean_calving_melt_he...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55v14_ryf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 RYF9091\\nrepeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, surface_pot_temp_max, frazil_3d_int_z, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, strintx_m, fswthru...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, fcondtopn_ai_m, fswthru_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, albsni...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>cmip6_fs38</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{Australian CMIP6-era datasets catalogued by NCI}</td>\n",
-       "      <td>{seaIce, atmos, ocean, ocnBgchem}</td>\n",
-       "      <td>{1yr, 1mon, fx, 1day}</td>\n",
-       "      <td>{zooc, osaltpsmadvect, siarean, tosga, ocontemppsmadvect, msftmz, mlotst, wmo, basin, wfo, talk, zoocos, vo, ocontempdiff, no3os, siareaacrossline, msftyz, sivols, thetao, eparag100, prra, sos, oc...</td>\n",
+       "      <td>{seaIce, ocean, ocnBgchem, atmos}</td>\n",
+       "      <td>{1yr, 1day, 1mon, fx}</td>\n",
+       "      <td>{sivol, wmo, masscello, fgco2nat, msftyrho, pso, dissic, thetao, sftof, pbo, fgo2, rsntds, tauuo, hfsifrazil, no3os, talk, dissicos, siextents, po4os, hfsso, osaltrmadvect, fgco2, phynos, ocontemp...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>cmip6_oi10</th>\n",
@@ -1581,7 +1581,7 @@
        "      <td>{Replicated CMIP6-era datasets catalogued by NCI}</td>\n",
        "      <td>{ocean}</td>\n",
        "      <td>{1mon}</td>\n",
-       "      <td>{uo, so, tos, thetao, sos, vo, zos}</td>\n",
+       "      <td>{sos, uo, so, tos, zos, vo, thetao}</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1744,7 +1744,7 @@
     {
      "data": {
       "text/html": [
-       "<p><strong>Intake dataframe catalog with 1 source(s) across 930 rows</strong>:</p> <div style='max-height: 300px; overflow: auto; width: fit-content'><div>\n",
+       "<p><strong>Intake dataframe catalog with 1 source(s) across 931 rows</strong>:</p> <div style='max-height: 300px; overflow: auto; width: fit-content'><div>\n",
        "<style scoped>\n",
        "    .dataframe tbody tr th:only-of-type {\n",
        "        vertical-align: middle;\n",
@@ -1780,11 +1780,11 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>cmip6_oi10</th>\n",
-       "      <td>{NorESM2-MM, MIROC-ES2H, NorESM1-F, CMCC-CM2-HR4, E3SM-2-0-NARRM, FIO-ESM-2-0, NICAM16-8S, HadGEM3-GC31-LM, NorCPM1, EC-Earth3-Veg, MPI-ESM-1-2-HAM, NESM3, INM-CM5-0, UKESM1-0-LL, AWI-ESM-1-1-LR, ...</td>\n",
+       "      <td>{IPSL-CM6A-ATM-ICO-VHR, CanESM5, ECMWF-IFS-LR, HadGEM3-GC31-LL, MPI-ESM1-2-LR, TaiESM1, CIESM, GFDL-OM4p5B, NICAM16-7S, EC-Earth3P, NICAM16-9S, E3SM-1-1-ECA, ACCESS-OM2-025, CAMS-CSM1-0, MCM-UA-1-...</td>\n",
        "      <td>{Replicated CMIP6-era datasets catalogued by NCI}</td>\n",
-       "      <td>{ocnBgchem, landIce, land, aerosol, seaIce, ocean, atmos, atmosChem}</td>\n",
-       "      <td>{3hr, subhr, 1yr, 6hr, fx, 1hr, 1mon, 1day}</td>\n",
-       "      <td>{rsdscs, pr, clivi, clt, nLeaf, tsn, tosga, sisali, wfo, cTotFireLut, orog, vo, fFireAll, cSoilMedium, sios, cLitterBelow, sidmassmeltbot, nep, fGrazing, siareas, rls, thetaot2000, necbLut, nStem,...</td>\n",
+       "      <td>{landIce, ocnBgchem, atmos, land, aerosol, ocean, seaIce, atmosChem}</td>\n",
+       "      <td>{subhr, 1day, 1mon, 3hr, 1yr, 1hr, 6hr, fx}</td>\n",
+       "      <td>{netAtmosLandCO2Flux, mrroLut, fgcfc12, opottemppmdiff, fgco2nat, pso, pastureFracC4, pbo, rv850, sndmasssnf, fNLandToOcean, fProductDecompLut, necbLut, cVeg, lai, fDeforestToProduct, intvaw, siu,...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1930,11 +1930,11 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>cmip6_oi10</th>\n",
-       "      <td>{CESM2-WACCM-FV2, NorESM2-MM, SAM0-UNICON, NorESM2-LM, CESM2, GFDL-ESM4, MRI-ESM2-0, EC-Earth3-Veg, NorCPM1, CNRM-ESM2-1, MPI-ESM-1-2-HAM, TaiESM1, E3SM-1-1, E3SM-1-1-ECA, CESM2-FV2, MPI-ESM1-2-LR...</td>\n",
+       "      <td>{MPI-ESM1-2-LR, CESM2-FV2, E3SM-1-1, SAM0-UNICON, NorESM2-LM, GFDL-ESM4, CESM2, AWI-ESM-1-1-LR, TaiESM1, CNRM-ESM2-1, EC-Earth3-Veg, NorCPM1, CESM2-WACCM-FV2, NorESM2-MM, MPI-ESM-1-2-HAM, CESM2-WA...</td>\n",
        "      <td>{Replicated CMIP6-era datasets catalogued by NCI}</td>\n",
        "      <td>{land}</td>\n",
        "      <td>{1mon}</td>\n",
-       "      <td>{burntFractionAll, fFire, cTotFireLut, fFireAll, fFireNat}</td>\n",
+       "      <td>{fFireNat, fFire, fFireAll, cTotFireLut, burntFractionAll}</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2007,57 +2007,57 @@
        "      <th>01deg_jra55v13_ryf9091</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.1 degree ACCESS-OM2 global model configuration with JRA55-do v1.3 RYF9091  repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{3hr, 3mon, fx, 1mon, 1day}</td>\n",
-       "      <td>{sig2_m, passive_weddell, time_bounds, total_ocean_fprec, frazil_3d_int_z, tx_trans, lprec, total_ocean_lprec, total_ocean_evap, total_ocean_calving_heat, vatm_m, flatn_ai_m, shear_m, sw_heat, tem...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, 3mon, 3hr, fx}</td>\n",
+       "      <td>{temp_global_ave, tx_trans_submeso, frz_onset_m, strairy_m, wt, vatm_m, swflx, uarea, u_dot_grad_vert_pv, pot_rho_2, total_ocean_calving_melt_heat, sfc_hflux_coupler, fmelttn_ai_m, total_ocean_hfl...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_era5_ryf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 global model configuration with ERA5 RYF9091 repeat\\nyear forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, temp_xflux_gm_int_z, time_bounds, total_ocean_fprec, surface_pot_temp_max, frazil_3d_int_z, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, strintx_m, fswthru...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, al...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_ryf9091_gadi</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon, fx}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, total_ocean_fprec, frazil_3d_int_z, tx_trans, total_ocean_lprec, total_ocean_evap, total_ocean_calving_heat, vatm_m, strintx_m, fswthru_ai_m, flwdn_m...</td>\n",
+       "      <td>{temp_global_ave, frz_onset_m, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, uarea, fcondtop_ai_m, total_ocean_calving_melt_heat, fsurfn_ai_m, fresh_ai_m, albsni_m, fmelttn_ai_m, total_ocea...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>025deg_jra55_ryf_era5comparison</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{0.25 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0\\nRYF9091 repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, bottom_temp_max, total_ocean_fprec, temp_xflux_gm_int_z, frazil_3d_int_z, surface_pot_temp_max, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, s...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, se...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_era5_ryf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 global model configuration with ERA5 RYF9091 repeat\\nyear forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, temp_xflux_gm_int_z, time_bounds, total_ocean_fprec, surface_pot_temp_max, frazil_3d_int_z, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, strintx_m, fswthru...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, fcondtopn_ai_m, fswthru_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, albsni...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55_ryf9091_gadi</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 physics-only global configuration with JRA55-do v1.3 RYF9091 repeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
        "      <td>{1yr, 1mon, fx}</td>\n",
-       "      <td>{temp_nonlocal_KPP_on_nrho, meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, temp_xflux_ndiffuse, total_ocean_fprec, frazil_3d_int_z, temp_xflux_submeso_on_nrho, tx_trans, total_ocean_lprec, total_oc...</td>\n",
+       "      <td>{temp_global_ave, mass_pmepr_on_nrho, tx_trans_submeso, frz_onset_m, temp_eta_smooth_on_nrho, strairy_m, wt, fswthru_ai_m, fcondtopn_ai_m, vatm_m, uarea, fcondtop_ai_m, total_ocean_calving_melt_he...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1deg_jra55v14_ryf</th>\n",
        "      <td>{ACCESS-OM2}</td>\n",
        "      <td>{1 degree ACCESS-OM2 global model configuration with JRA55-do v1.4.0 RYF9091\\nrepeat year forcing (May 1990 to Apr 1991)}</td>\n",
-       "      <td>{seaIce, ocean}</td>\n",
-       "      <td>{1mon, fx, 1day}</td>\n",
-       "      <td>{meltb_m, Tair_m, fcondtopn_ai_m, time_bounds, temp_xflux_gm_int_z, total_ocean_fprec, surface_pot_temp_max, frazil_3d_int_z, lprec, total_ocean_lprec, total_ocean_evap, vatm_m, strintx_m, fswthru...</td>\n",
+       "      <td>{ocean, seaIce}</td>\n",
+       "      <td>{1day, 1mon, fx}</td>\n",
+       "      <td>{temp_global_ave, frazil, agm, temp_yflux_adv_int_z, strairy_m, fcondtopn_ai_m, fswthru_ai_m, vatm_m, swflx, hi, uarea, pot_rho_2, fcondtop_ai_m, fsurfn_ai_m, fresh_ai_m, sfc_hflux_coupler, albsni...</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3107,10 +3107,10 @@
        "    intake_esm_attrs:filename:                ocean_scalar.nc\n",
        "    intake_esm_attrs:file_id:                 ocean_scalar\n",
        "    intake_esm_attrs:_data_format_:           netcdf\n",
-       "    intake_esm_dataset_key:                   ocean_scalar.1mon</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-5ba67130-2e4f-4ff9-bb31-2a6cea3df7dd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5ba67130-2e4f-4ff9-bb31-2a6cea3df7dd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>scalar_axis</span>: 1</li><li><span class='xr-has-index'>time</span>: 732</li><li><span class='xr-has-index'>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-357a3301-c3a5-49c4-8675-4a8741faaf17' class='xr-section-summary-in' type='checkbox'  checked><label for='section-357a3301-c3a5-49c4-8675-4a8741faaf17' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scalar_axis</span></div><div class='xr-var-dims'>(scalar_axis)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-4de2cf30-d82b-4b24-be68-97a64c288671' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4de2cf30-d82b-4b24-be68-97a64c288671' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-772d8ef9-6ea3-4c2f-acef-4b8226cfb2a7' class='xr-var-data-in' type='checkbox'><label for='data-772d8ef9-6ea3-4c2f-acef-4b8226cfb2a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>none</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1958-01-14T12:00:00 ... 2018-12-...</div><input id='attrs-f388b1d1-79c4-48fb-99f4-9af18ec3262f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f388b1d1-79c4-48fb-99f4-9af18ec3262f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-50b37d51-7cba-4fb5-b332-e09f0417ddb2' class='xr-var-data-in' type='checkbox'><label for='data-50b37d51-7cba-4fb5-b332-e09f0417ddb2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>GREGORIAN</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1958-01-14T12:00:00.000000000&#x27;, &#x27;1958-02-13T00:00:00.000000000&#x27;,\n",
+       "    intake_esm_dataset_key:                   ocean_scalar.1mon</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-fc983b95-8643-4607-808b-ea92603d93ed' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fc983b95-8643-4607-808b-ea92603d93ed' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>scalar_axis</span>: 1</li><li><span class='xr-has-index'>time</span>: 732</li><li><span class='xr-has-index'>nv</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d1279f45-b62f-4353-8688-f67bc229f2ae' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d1279f45-b62f-4353-8688-f67bc229f2ae' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>scalar_axis</span></div><div class='xr-var-dims'>(scalar_axis)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0</div><input id='attrs-45b76318-4a51-4f17-ac96-59a2ebdaec99' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45b76318-4a51-4f17-ac96-59a2ebdaec99' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10261f9b-2340-48c3-a245-f6d8e1d69697' class='xr-var-data-in' type='checkbox'><label for='data-10261f9b-2340-48c3-a245-f6d8e1d69697' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>none</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([0.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1958-01-14T12:00:00 ... 2018-12-...</div><input id='attrs-79dc36e9-3ed2-40db-b0a5-37e033576844' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79dc36e9-3ed2-40db-b0a5-37e033576844' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a89b743-f97c-4521-872e-d7e1885ca159' class='xr-var-data-in' type='checkbox'><label for='data-2a89b743-f97c-4521-872e-d7e1885ca159' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>GREGORIAN</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1958-01-14T12:00:00.000000000&#x27;, &#x27;1958-02-13T00:00:00.000000000&#x27;,\n",
        "       &#x27;1958-03-14T12:00:00.000000000&#x27;, ..., &#x27;2018-10-14T12:00:00.000000000&#x27;,\n",
        "       &#x27;2018-11-14T00:00:00.000000000&#x27;, &#x27;2018-12-14T12:00:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-d1e05c30-f4cc-4363-8bba-7355f9f4360a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1e05c30-f4cc-4363-8bba-7355f9f4360a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e113ae64-6ece-4a71-8490-0aadb1fc9811' class='xr-var-data-in' type='checkbox'><label for='data-e113ae64-6ece-4a71-8490-0aadb1fc9811' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertex number</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cartesian_axis :</span></dt><dd>N</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-75a4585a-4e34-4099-a1c2-a439a02d243e' class='xr-section-summary-in' type='checkbox'  ><label for='section-75a4585a-4e34-4099-a1c2-a439a02d243e' class='xr-section-summary' >Data variables: <span>(19)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>total_mass_seawater</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-0eabaccc-b42f-479f-af4a-6358b65a9f0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0eabaccc-b42f-479f-af4a-6358b65a9f0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a5d374f-1d63-429f-855a-248a8c44342f' class='xr-var-data-in' type='checkbox'><label for='data-2a5d374f-1d63-429f-855a-248a8c44342f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total mass of liquid seawater</dd><dt><span>units :</span></dt><dd>kg</dd><dt><span>valid_range :</span></dt><dd>[-1.e+01  1.e+25]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_mass</dd></dl></div><div class='xr-var-data'><table>\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nv</span></div><div class='xr-var-dims'>(nv)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0</div><input id='attrs-4d11312b-431c-4847-bd2d-c1373d6e946c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d11312b-431c-4847-bd2d-c1373d6e946c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c211bdfa-3005-44b8-812e-d23e4852009a' class='xr-var-data-in' type='checkbox'><label for='data-c211bdfa-3005-44b8-812e-d23e4852009a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertex number</dd><dt><span>units :</span></dt><dd>none</dd><dt><span>cartesian_axis :</span></dt><dd>N</dd></dl></div><div class='xr-var-data'><pre>array([1., 2.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d1d56cd8-da29-440c-831d-ebfd1fb46c02' class='xr-section-summary-in' type='checkbox'  ><label for='section-d1d56cd8-da29-440c-831d-ebfd1fb46c02' class='xr-section-summary' >Data variables: <span>(19)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>total_mass_seawater</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-344f1d21-474c-441a-99dd-57d261204095' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-344f1d21-474c-441a-99dd-57d261204095' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca5cea17-b3a1-4af6-8dfb-5729d67bdf84' class='xr-var-data-in' type='checkbox'><label for='data-ca5cea17-b3a1-4af6-8dfb-5729d67bdf84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total mass of liquid seawater</dd><dt><span>units :</span></dt><dd>kg</dd><dt><span>valid_range :</span></dt><dd>[-1.e+01  1.e+25]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_mass</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3183,7 +3183,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_volume_seawater</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-a1742da2-ffcd-44b8-bc22-98fae28fec03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a1742da2-ffcd-44b8-bc22-98fae28fec03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e4a8f50-e099-4c20-aa71-3741c0b9f44d' class='xr-var-data-in' type='checkbox'><label for='data-9e4a8f50-e099-4c20-aa71-3741c0b9f44d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total volume of liquid seawater</dd><dt><span>units :</span></dt><dd>m^3</dd><dt><span>valid_range :</span></dt><dd>[-1.e+01  1.e+25]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_volume</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_volume_seawater</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-b6ef5f96-ecd7-4c6f-a3e4-1fa241c8af78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6ef5f96-ecd7-4c6f-a3e4-1fa241c8af78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e769b83-b4ee-4153-9f20-496462965048' class='xr-var-data-in' type='checkbox'><label for='data-1e769b83-b4ee-4153-9f20-496462965048' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total volume of liquid seawater</dd><dt><span>units :</span></dt><dd>m^3</dd><dt><span>valid_range :</span></dt><dd>[-1.e+01  1.e+25]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_volume</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3256,7 +3256,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eta_adjust</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-5d799839-42ef-4e99-8429-0ed98c79ce1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d799839-42ef-4e99-8429-0ed98c79ce1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77deef4c-fb6d-4aca-97e2-e51968371aee' class='xr-var-data-in' type='checkbox'><label for='data-77deef4c-fb6d-4aca-97e2-e51968371aee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>global eta adjustment to include steric effect in Boussinesq fluid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd>[-100.  100.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eta_adjust</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-067e7eb2-a33a-4ece-a8e9-9c6c0fbaedaf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-067e7eb2-a33a-4ece-a8e9-9c6c0fbaedaf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6763d3cb-6b3a-4111-8c1d-beb209bc4f68' class='xr-var-data-in' type='checkbox'><label for='data-6763d3cb-6b3a-4111-8c1d-beb209bc4f68' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>global eta adjustment to include steric effect in Boussinesq fluid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd>[-100.  100.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3329,7 +3329,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pbot_adjust</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-1e01c910-97eb-44e8-8cc9-b1f69cf21c43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e01c910-97eb-44e8-8cc9-b1f69cf21c43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7215217c-4b6f-4910-a126-adb61918f08d' class='xr-var-data-in' type='checkbox'><label for='data-7215217c-4b6f-4910-a126-adb61918f08d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pbot adjustment to counteract spurious mass source in Boussinesq fluid</dd><dt><span>units :</span></dt><dd>dbar</dd><dt><span>valid_range :</span></dt><dd>[-1.e+10  1.e+10]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pbot_adjust</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-1dc20a35-9b8f-4ab5-8c3a-d32578d37fc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1dc20a35-9b8f-4ab5-8c3a-d32578d37fc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68f52fa8-89fd-434d-b824-31539d9d4bfd' class='xr-var-data-in' type='checkbox'><label for='data-68f52fa8-89fd-434d-b824-31539d9d4bfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pbot adjustment to counteract spurious mass source in Boussinesq fluid</dd><dt><span>units :</span></dt><dd>dbar</dd><dt><span>valid_range :</span></dt><dd>[-1.e+10  1.e+10]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3402,7 +3402,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhoave</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-892b0417-b63d-4cbf-bac1-a9fc2dbbbb3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-892b0417-b63d-4cbf-bac1-a9fc2dbbbb3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7af89de6-1db2-4d79-8522-387500d596d7' class='xr-var-data-in' type='checkbox'><label for='data-7af89de6-1db2-4d79-8522-387500d596d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>global mean ocean in-situ density from ocean_density_mod</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>valid_range :</span></dt><dd>[-1.e+10  1.e+10]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhoave</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-c79c77c5-a169-49cf-9d39-aefa6ac49120' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c79c77c5-a169-49cf-9d39-aefa6ac49120' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d29483d1-b2cc-468d-8435-d6157bee8fd4' class='xr-var-data-in' type='checkbox'><label for='data-d29483d1-b2cc-468d-8435-d6157bee8fd4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>global mean ocean in-situ density from ocean_density_mod</dd><dt><span>units :</span></dt><dd>kg/m^3</dd><dt><span>valid_range :</span></dt><dd>[-1.e+10  1.e+10]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3475,7 +3475,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eta_global</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-398b321a-50fa-49f8-9c3e-3254f542db9a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-398b321a-50fa-49f8-9c3e-3254f542db9a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ea5de309-a696-4b1b-aaac-76f5650e67c0' class='xr-var-data-in' type='checkbox'><label for='data-ea5de309-a696-4b1b-aaac-76f5650e67c0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>global ave eta_t plus patm_t/(g*rho0)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>valid_range :</span></dt><dd>[-10000.  10000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>eta_global</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-63f182f9-0d3c-4150-9df2-1bf080b1dbb7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63f182f9-0d3c-4150-9df2-1bf080b1dbb7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68809dcb-48e5-4e17-b958-dc33081d0d6a' class='xr-var-data-in' type='checkbox'><label for='data-68809dcb-48e5-4e17-b958-dc33081d0d6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>global ave eta_t plus patm_t/(g*rho0)</dd><dt><span>units :</span></dt><dd>meter</dd><dt><span>valid_range :</span></dt><dd>[-10000.  10000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3548,7 +3548,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_global_ave</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-8a315411-16ea-48ca-ad71-814126d28f1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8a315411-16ea-48ca-ad71-814126d28f1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69c097e5-73e8-44b2-b3e2-a172318ca691' class='xr-var-data-in' type='checkbox'><label for='data-69c097e5-73e8-44b2-b3e2-a172318ca691' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global mean temp in liquid seawater</dd><dt><span>units :</span></dt><dd>deg_C</dd><dt><span>valid_range :</span></dt><dd>[ -10. 1000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_global_ave</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-d1000f00-ee92-4d7a-829c-7db45be54c46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1000f00-ee92-4d7a-829c-7db45be54c46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f22dd872-a329-4f48-818d-78d7463feacb' class='xr-var-data-in' type='checkbox'><label for='data-f22dd872-a329-4f48-818d-78d7463feacb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global mean temp in liquid seawater</dd><dt><span>units :</span></dt><dd>deg_C</dd><dt><span>valid_range :</span></dt><dd>[ -10. 1000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_potential_temperature</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3621,7 +3621,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_global_ave</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-7c5e4840-f7b1-4867-bdd5-1aad9f5a286c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c5e4840-f7b1-4867-bdd5-1aad9f5a286c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-046e9797-cc76-4152-b5b6-e4027648c58b' class='xr-var-data-in' type='checkbox'><label for='data-046e9797-cc76-4152-b5b6-e4027648c58b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global mean salt in liquid seawater</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_range :</span></dt><dd>[ -10. 1000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_global_ave</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-637fc352-9874-46cb-a40b-7f0eb521f07c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-637fc352-9874-46cb-a40b-7f0eb521f07c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-972bbc87-14ec-4d5e-95cc-cfe738d572bc' class='xr-var-data-in' type='checkbox'><label for='data-972bbc87-14ec-4d5e-95cc-cfe738d572bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global mean salt in liquid seawater</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_range :</span></dt><dd>[ -10. 1000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd><dt><span>standard_name :</span></dt><dd>sea_water_salinity</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3694,7 +3694,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_surface_ave</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-8e7f674e-d025-4678-bb2e-082c1a699b47' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e7f674e-d025-4678-bb2e-082c1a699b47' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66ed01ce-ed53-43be-9992-6c8529811a58' class='xr-var-data-in' type='checkbox'><label for='data-66ed01ce-ed53-43be-9992-6c8529811a58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global mass weighted mean surface salt in liquid seawater</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_range :</span></dt><dd>[ -10. 1000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt_surface_ave</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-868d7fae-bb7c-4ffb-9cfe-05683a52d291' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-868d7fae-bb7c-4ffb-9cfe-05683a52d291' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f0bb116-1c28-4b2a-a3d8-959ac986e8d4' class='xr-var-data-in' type='checkbox'><label for='data-9f0bb116-1c28-4b2a-a3d8-959ac986e8d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Global mass weighted mean surface salt in liquid seawater</dd><dt><span>units :</span></dt><dd>psu</dd><dt><span>valid_range :</span></dt><dd>[ -10. 1000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3767,7 +3767,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ke_tot</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-e8be70df-8437-4a25-a1ea-5cb2dc1aa11f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8be70df-8437-4a25-a1ea-5cb2dc1aa11f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25a2b0a0-f4a3-4ce4-a07a-e820742b3eff' class='xr-var-data-in' type='checkbox'><label for='data-25a2b0a0-f4a3-4ce4-a07a-e820742b3eff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Globally integrated ocean kinetic energy</dd><dt><span>units :</span></dt><dd>10^15 Joules</dd><dt><span>valid_range :</span></dt><dd>[0.e+00 1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ke_tot</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-f259214d-86aa-4dcf-a7d4-3a30693a8b7a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f259214d-86aa-4dcf-a7d4-3a30693a8b7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1eacc3e-5de5-4b2c-91db-81279b195126' class='xr-var-data-in' type='checkbox'><label for='data-d1eacc3e-5de5-4b2c-91db-81279b195126' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Globally integrated ocean kinetic energy</dd><dt><span>units :</span></dt><dd>10^15 Joules</dd><dt><span>valid_range :</span></dt><dd>[0.e+00 1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3840,7 +3840,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pe_tot</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-e260adbe-c557-4ca6-b42d-2f4dee16adc9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e260adbe-c557-4ca6-b42d-2f4dee16adc9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e688ddb2-ad18-42ea-9f5c-72d28a5b8659' class='xr-var-data-in' type='checkbox'><label for='data-e688ddb2-ad18-42ea-9f5c-72d28a5b8659' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Globally integrated ocean potential energy</dd><dt><span>units :</span></dt><dd>10^15 Joules</dd><dt><span>valid_range :</span></dt><dd>[0.e+00 1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pe_tot</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-4d224047-12fe-45c5-9a64-322485ed3a21' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4d224047-12fe-45c5-9a64-322485ed3a21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0bb74dd7-77f6-4778-96e7-45b5ed3a6e72' class='xr-var-data-in' type='checkbox'><label for='data-0bb74dd7-77f6-4778-96e7-45b5ed3a6e72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Globally integrated ocean potential energy</dd><dt><span>units :</span></dt><dd>10^15 Joules</dd><dt><span>valid_range :</span></dt><dd>[0.e+00 1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3913,7 +3913,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_ocean_pme_river</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-0dae6e1a-2046-4af0-b321-677b012d5904' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dae6e1a-2046-4af0-b321-677b012d5904' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ed68c19-ba99-458b-8256-7ff8642da4c1' class='xr-var-data-in' type='checkbox'><label for='data-3ed68c19-ba99-458b-8256-7ff8642da4c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total ocean precip-evap+river via sbc (liquid, frozen, evaporation)</dd><dt><span>units :</span></dt><dd>(kg/sec)/1e15</dd><dt><span>valid_range :</span></dt><dd>[-1000000.  1000000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_ocean_pme_river</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-3999a0d4-5b82-42a6-ac8f-20d47fb9ddb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3999a0d4-5b82-42a6-ac8f-20d47fb9ddb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c89f7a95-1438-4c55-aade-5dc49940d117' class='xr-var-data-in' type='checkbox'><label for='data-c89f7a95-1438-4c55-aade-5dc49940d117' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total ocean precip-evap+river via sbc (liquid, frozen, evaporation)</dd><dt><span>units :</span></dt><dd>(kg/sec)/1e15</dd><dt><span>valid_range :</span></dt><dd>[-1000000.  1000000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -3986,7 +3986,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_ocean_salt</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-45bdde7e-b938-4a34-ac53-4580b7044854' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45bdde7e-b938-4a34-ac53-4580b7044854' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcb70fab-50c4-466d-a515-4de03ef1731a' class='xr-var-data-in' type='checkbox'><label for='data-bcb70fab-50c4-466d-a515-4de03ef1731a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total mass of salt in liquid seawater</dd><dt><span>units :</span></dt><dd>kg/1e18</dd><dt><span>valid_range :</span></dt><dd>[-1.e+02  1.e+10]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_ocean_salt</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-804e4c7e-56ab-4dc5-973e-095576e55cf3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-804e4c7e-56ab-4dc5-973e-095576e55cf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33b7f8bd-1163-42ee-9a1a-03589ab5f553' class='xr-var-data-in' type='checkbox'><label for='data-33b7f8bd-1163-42ee-9a1a-03589ab5f553' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total mass of salt in liquid seawater</dd><dt><span>units :</span></dt><dd>kg/1e18</dd><dt><span>valid_range :</span></dt><dd>[-1.e+02  1.e+10]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4059,7 +4059,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_ocean_heat</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-3173ce8b-0e6a-4383-9022-07f304561361' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3173ce8b-0e6a-4383-9022-07f304561361' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f59ff7d-83c7-4715-8b1c-e7d6ac955766' class='xr-var-data-in' type='checkbox'><label for='data-4f59ff7d-83c7-4715-8b1c-e7d6ac955766' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total heat in the liquid ocean referenced to 0degC</dd><dt><span>units :</span></dt><dd>Joule/1e25</dd><dt><span>valid_range :</span></dt><dd>[0.e+00 1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_ocean_heat</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-f62f5fb0-7c0e-468a-9578-2c62446d34ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f62f5fb0-7c0e-468a-9578-2c62446d34ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e772b11c-65f1-4864-b848-fb0561cd48ac' class='xr-var-data-in' type='checkbox'><label for='data-e772b11c-65f1-4864-b848-fb0561cd48ac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total heat in the liquid ocean referenced to 0degC</dd><dt><span>units :</span></dt><dd>Joule/1e25</dd><dt><span>valid_range :</span></dt><dd>[0.e+00 1.e+20]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4132,7 +4132,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_net_sfc_heating</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-ad21e5d1-c14d-4962-997f-c3c1b8d54200' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad21e5d1-c14d-4962-997f-c3c1b8d54200' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2647ecdd-12b5-4197-87fc-504069b066a9' class='xr-var-data-in' type='checkbox'><label for='data-2647ecdd-12b5-4197-87fc-504069b066a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total ocean surface flux from coupler and mass transfer</dd><dt><span>units :</span></dt><dd>Watts/1e15</dd><dt><span>valid_range :</span></dt><dd>[-10000.  10000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_net_sfc_heating</span></div><div class='xr-var-dims'>(time, scalar_axis)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1), meta=np.ndarray&gt;</div><input id='attrs-368db823-3510-4d6c-872b-5e431a0634bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-368db823-3510-4d6c-872b-5e431a0634bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d1a7384-ac4a-44e0-901f-5eeaf7e64751' class='xr-var-data-in' type='checkbox'><label for='data-1d1a7384-ac4a-44e0-901f-5eeaf7e64751' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>total ocean surface flux from coupler and mass transfer</dd><dt><span>units :</span></dt><dd>Watts/1e15</dd><dt><span>valid_range :</span></dt><dd>[-10000.  10000.]</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_avg_info :</span></dt><dd>average_T1,average_T2,average_DT</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4205,7 +4205,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_T1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;</div><input id='attrs-946518c3-c887-41bb-90ba-a483969fe9a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-946518c3-c887-41bb-90ba-a483969fe9a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2917646d-5291-43a6-b8cd-1c9c8a9b2aa1' class='xr-var-data-in' type='checkbox'><label for='data-2917646d-5291-43a6-b8cd-1c9c8a9b2aa1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start time for average period</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_T1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;</div><input id='attrs-011e3ba5-03b7-4469-a268-64ddf7cc91aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-011e3ba5-03b7-4469-a268-64ddf7cc91aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59d3cee9-601b-4836-9117-c9e27f2ad770' class='xr-var-data-in' type='checkbox'><label for='data-59d3cee9-601b-4836-9117-c9e27f2ad770' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Start time for average period</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4278,7 +4278,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_T2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;</div><input id='attrs-5888e655-f81f-4092-a2da-c6110c595fe9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5888e655-f81f-4092-a2da-c6110c595fe9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fad4433-c04b-4c84-8aa1-f86f06257f70' class='xr-var-data-in' type='checkbox'><label for='data-9fad4433-c04b-4c84-8aa1-f86f06257f70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>End time for average period</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_T2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;</div><input id='attrs-3893e82a-6054-48bc-ad94-d532ce5b4675' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3893e82a-6054-48bc-ad94-d532ce5b4675' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-476067e1-cdd8-4315-bc9a-3fbb61839340' class='xr-var-data-in' type='checkbox'><label for='data-476067e1-cdd8-4315-bc9a-3fbb61839340' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>End time for average period</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4351,7 +4351,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_DT</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;</div><input id='attrs-5930fb6a-ef32-4ce9-8bcf-9e63ef9ddb33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5930fb6a-ef32-4ce9-8bcf-9e63ef9ddb33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f629f7d-b2fd-4e08-8261-e141636489d5' class='xr-var-data-in' type='checkbox'><label for='data-7f629f7d-b2fd-4e08-8261-e141636489d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Length of average period</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>average_DT</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12,), meta=np.ndarray&gt;</div><input id='attrs-192085d9-e4bf-4eca-9bf9-a5f30ee92872' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-192085d9-e4bf-4eca-9bf9-a5f30ee92872' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15547a23-7f28-49a8-a446-87c29fefaa6a' class='xr-var-data-in' type='checkbox'><label for='data-15547a23-7f28-49a8-a446-87c29fefaa6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Length of average period</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4424,7 +4424,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-d087c320-a5b9-4113-ae12-6f2d6c742a0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d087c320-a5b9-4113-ae12-6f2d6c742a0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d7e92333-beee-4963-8848-e209115c2c3d' class='xr-var-data-in' type='checkbox'><label for='data-d7e92333-beee-4963-8848-e209115c2c3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd><dt><span>calendar :</span></dt><dd>GREGORIAN</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_bounds</span></div><div class='xr-var-dims'>(time, nv)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 2), meta=np.ndarray&gt;</div><input id='attrs-29ced62e-9930-4533-9266-5af3f97d5560' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29ced62e-9930-4533-9266-5af3f97d5560' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-399bc83b-455a-4fe1-8427-68fb18038e98' class='xr-var-data-in' type='checkbox'><label for='data-399bc83b-455a-4fe1-8427-68fb18038e98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time axis boundaries</dd><dt><span>calendar :</span></dt><dd>GREGORIAN</dd></dl></div><div class='xr-var-data'><table>\n",
        "    <tr>\n",
        "        <td>\n",
        "            <table style=\"border-collapse: collapse;\">\n",
@@ -4497,7 +4497,7 @@
        "</svg>\n",
        "        </td>\n",
        "    </tr>\n",
-       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-0744bec9-b12d-45a9-87f3-9c287ae1a04e' class='xr-section-summary-in' type='checkbox'  ><label for='section-0744bec9-b12d-45a9-87f3-9c287ae1a04e' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>scalar_axis</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5d272afb-ff7d-4922-bb5d-86af7daee7f5' class='xr-index-data-in' type='checkbox'/><label for='index-5d272afb-ff7d-4922-bb5d-86af7daee7f5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.0], dtype=&#x27;float64&#x27;, name=&#x27;scalar_axis&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-35a7e724-aba8-4671-b1d5-1dcf2c1f3fd1' class='xr-index-data-in' type='checkbox'/><label for='index-35a7e724-aba8-4671-b1d5-1dcf2c1f3fd1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1958-01-14 12:00:00&#x27;, &#x27;1958-02-13 00:00:00&#x27;,\n",
+       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-8dd23353-7f71-45d8-8c28-e98ca76dc2e3' class='xr-section-summary-in' type='checkbox'  ><label for='section-8dd23353-7f71-45d8-8c28-e98ca76dc2e3' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>scalar_axis</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-0fd95713-daf7-4ea5-80c0-881454a69c1d' class='xr-index-data-in' type='checkbox'/><label for='index-0fd95713-daf7-4ea5-80c0-881454a69c1d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0.0], dtype=&#x27;float64&#x27;, name=&#x27;scalar_axis&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-d442b078-b96a-4139-9c7c-6d00617f24a1' class='xr-index-data-in' type='checkbox'/><label for='index-d442b078-b96a-4139-9c7c-6d00617f24a1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1958-01-14 12:00:00&#x27;, &#x27;1958-02-13 00:00:00&#x27;,\n",
        "               &#x27;1958-03-14 12:00:00&#x27;, &#x27;1958-04-14 00:00:00&#x27;,\n",
        "               &#x27;1958-05-14 12:00:00&#x27;, &#x27;1958-06-14 00:00:00&#x27;,\n",
        "               &#x27;1958-07-14 12:00:00&#x27;, &#x27;1958-08-14 12:00:00&#x27;,\n",
@@ -4508,7 +4508,7 @@
        "               &#x27;2018-07-14 12:00:00&#x27;, &#x27;2018-08-14 12:00:00&#x27;,\n",
        "               &#x27;2018-09-14 00:00:00&#x27;, &#x27;2018-10-14 12:00:00&#x27;,\n",
        "               &#x27;2018-11-14 00:00:00&#x27;, &#x27;2018-12-14 12:00:00&#x27;],\n",
-       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=732, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>nv</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-19e02288-4d27-49c3-abcd-0b9d0af70f8f' class='xr-index-data-in' type='checkbox'/><label for='index-19e02288-4d27-49c3-abcd-0b9d0af70f8f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1.0, 2.0], dtype=&#x27;float64&#x27;, name=&#x27;nv&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3a11b38-2f45-472d-a697-9bb413d8301e' class='xr-section-summary-in' type='checkbox'  ><label for='section-e3a11b38-2f45-472d-a697-9bb413d8301e' class='xr-section-summary' >Attributes: <span>(16)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filename :</span></dt><dd>ocean_scalar.nc</dd><dt><span>title :</span></dt><dd>ACCESS-OM2</dd><dt><span>grid_type :</span></dt><dd>mosaic</dd><dt><span>grid_tile :</span></dt><dd>1</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;total_mass_seawater&#x27;, &#x27;total_volume_seawater&#x27;, &#x27;eta_adjust&#x27;, &#x27;pbot_adjust&#x27;, &#x27;rhoave&#x27;, &#x27;eta_global&#x27;, &#x27;temp_global_ave&#x27;, &#x27;salt_global_ave&#x27;, &#x27;salt_surface_ave&#x27;, &#x27;ke_tot&#x27;, &#x27;pe_tot&#x27;, &#x27;total_ocean_pme_river&#x27;, &#x27;total_ocean_salt&#x27;, &#x27;total_ocean_heat&#x27;, &#x27;total_net_sfc_heating&#x27;, &#x27;average_T1&#x27;, &#x27;average_T2&#x27;, &#x27;average_DT&#x27;, &#x27;time_bounds&#x27;]</dd><dt><span>intake_esm_attrs:realm :</span></dt><dd>ocean</dd><dt><span>intake_esm_attrs:variable :</span></dt><dd>total_mass_seawater,total_volume_seawater,eta_adjust,pbot_adjust,rhoave,eta_global,temp_global_ave,salt_global_ave,salt_surface_ave,ke_tot,pe_tot,total_ocean_pme_river,total_ocean_salt,total_ocean_heat,total_net_sfc_heating,average_T1,average_T2,average_DT,time_bounds</dd><dt><span>intake_esm_attrs:frequency :</span></dt><dd>1mon</dd><dt><span>intake_esm_attrs:variable_long_name :</span></dt><dd>total mass of liquid seawater,total volume of liquid seawater,global eta adjustment to include steric effect in Boussinesq fluid,pbot adjustment to counteract spurious mass source in Boussinesq fluid,global mean ocean in-situ density from ocean_density_mod,global ave eta_t plus patm_t/(g*rho0),Global mean temp in liquid seawater,Global mean salt in liquid seawater,Global mass weighted mean surface salt in liquid seawater,Globally integrated ocean kinetic energy,Globally integrated ocean potential energy,total ocean precip-evap+river via sbc (liquid, frozen, evaporation),total mass of salt in liquid seawater,Total heat in the liquid ocean referenced to 0degC,total ocean surface flux from coupler and mass transfer,Start time for average period,End time for average period,Length of average period,time axis boundaries</dd><dt><span>intake_esm_attrs:variable_standard_name :</span></dt><dd>sea_water_mass,sea_water_volume,,,,,sea_water_potential_temperature,sea_water_salinity,,,,,,,,,,,</dd><dt><span>intake_esm_attrs:variable_cell_methods :</span></dt><dd>time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,,,,</dd><dt><span>intake_esm_attrs:variable_units :</span></dt><dd>kg,m^3,m,dbar,kg/m^3,meter,deg_C,psu,psu,10^15 Joules,10^15 Joules,(kg/sec)/1e15,kg/1e18,Joule/1e25,Watts/1e15,days since 0001-01-01 00:00:00,days since 0001-01-01 00:00:00,days,days</dd><dt><span>intake_esm_attrs:filename :</span></dt><dd>ocean_scalar.nc</dd><dt><span>intake_esm_attrs:file_id :</span></dt><dd>ocean_scalar</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>netcdf</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>ocean_scalar.1mon</dd></dl></div></li></ul></div></div>"
+       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=732, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>nv</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-663f67a0-b4c4-4177-a0d8-7dde7f3786eb' class='xr-index-data-in' type='checkbox'/><label for='index-663f67a0-b4c4-4177-a0d8-7dde7f3786eb' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([1.0, 2.0], dtype=&#x27;float64&#x27;, name=&#x27;nv&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a1fde841-1354-4be7-9a40-ca976ea69cbb' class='xr-section-summary-in' type='checkbox'  ><label for='section-a1fde841-1354-4be7-9a40-ca976ea69cbb' class='xr-section-summary' >Attributes: <span>(16)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>filename :</span></dt><dd>ocean_scalar.nc</dd><dt><span>title :</span></dt><dd>ACCESS-OM2</dd><dt><span>grid_type :</span></dt><dd>mosaic</dd><dt><span>grid_tile :</span></dt><dd>1</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;total_mass_seawater&#x27;, &#x27;total_volume_seawater&#x27;, &#x27;eta_adjust&#x27;, &#x27;pbot_adjust&#x27;, &#x27;rhoave&#x27;, &#x27;eta_global&#x27;, &#x27;temp_global_ave&#x27;, &#x27;salt_global_ave&#x27;, &#x27;salt_surface_ave&#x27;, &#x27;ke_tot&#x27;, &#x27;pe_tot&#x27;, &#x27;total_ocean_pme_river&#x27;, &#x27;total_ocean_salt&#x27;, &#x27;total_ocean_heat&#x27;, &#x27;total_net_sfc_heating&#x27;, &#x27;average_T1&#x27;, &#x27;average_T2&#x27;, &#x27;average_DT&#x27;, &#x27;time_bounds&#x27;]</dd><dt><span>intake_esm_attrs:realm :</span></dt><dd>ocean</dd><dt><span>intake_esm_attrs:variable :</span></dt><dd>total_mass_seawater,total_volume_seawater,eta_adjust,pbot_adjust,rhoave,eta_global,temp_global_ave,salt_global_ave,salt_surface_ave,ke_tot,pe_tot,total_ocean_pme_river,total_ocean_salt,total_ocean_heat,total_net_sfc_heating,average_T1,average_T2,average_DT,time_bounds</dd><dt><span>intake_esm_attrs:frequency :</span></dt><dd>1mon</dd><dt><span>intake_esm_attrs:variable_long_name :</span></dt><dd>total mass of liquid seawater,total volume of liquid seawater,global eta adjustment to include steric effect in Boussinesq fluid,pbot adjustment to counteract spurious mass source in Boussinesq fluid,global mean ocean in-situ density from ocean_density_mod,global ave eta_t plus patm_t/(g*rho0),Global mean temp in liquid seawater,Global mean salt in liquid seawater,Global mass weighted mean surface salt in liquid seawater,Globally integrated ocean kinetic energy,Globally integrated ocean potential energy,total ocean precip-evap+river via sbc (liquid, frozen, evaporation),total mass of salt in liquid seawater,Total heat in the liquid ocean referenced to 0degC,total ocean surface flux from coupler and mass transfer,Start time for average period,End time for average period,Length of average period,time axis boundaries</dd><dt><span>intake_esm_attrs:variable_standard_name :</span></dt><dd>sea_water_mass,sea_water_volume,,,,,sea_water_potential_temperature,sea_water_salinity,,,,,,,,,,,</dd><dt><span>intake_esm_attrs:variable_cell_methods :</span></dt><dd>time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,time: mean,,,,</dd><dt><span>intake_esm_attrs:variable_units :</span></dt><dd>kg,m^3,m,dbar,kg/m^3,meter,deg_C,psu,psu,10^15 Joules,10^15 Joules,(kg/sec)/1e15,kg/1e18,Joule/1e25,Watts/1e15,days since 0001-01-01 00:00:00,days since 0001-01-01 00:00:00,days,days</dd><dt><span>intake_esm_attrs:filename :</span></dt><dd>ocean_scalar.nc</dd><dt><span>intake_esm_attrs:file_id :</span></dt><dd>ocean_scalar</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>netcdf</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>ocean_scalar.1mon</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
        "<xarray.Dataset> Size: 79kB\n",
@@ -4587,66 +4587,66 @@
     {
      "data": {
       "text/plain": [
-       "{'1deg_jra55_iaf_omip2spunup_cycle25': <1deg_jra55_iaf_omip2spunup_cycle25 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle1': <025deg_jra55_iaf_omip2_cycle1 catalog with 8 dataset(s) from 1830 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle29': <1deg_jra55_iaf_omip2spunup_cycle29 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle30': <1deg_jra55_iaf_omip2spunup_cycle30 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle32': <1deg_jra55_iaf_omip2spunup_cycle32 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle38': <1deg_jra55_iaf_omip2spunup_cycle38 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
+       "{'1deg_jra55_iaf_omip2spunup_cycle36': <1deg_jra55_iaf_omip2spunup_cycle36 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle16': <1deg_jra55_iaf_omip2spunup_cycle16 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle34': <1deg_jra55_iaf_omip2spunup_cycle34 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle33': <1deg_jra55_iaf_omip2spunup_cycle33 catalog with 4 dataset(s) from 915 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle22': <1deg_jra55_iaf_omip2spunup_cycle22 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle3': <025deg_jra55_iaf_omip2_cycle3 catalog with 9 dataset(s) from 1869 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle14': <1deg_jra55_iaf_omip2spunup_cycle14 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle2': <025deg_jra55_iaf_omip2_cycle2 catalog with 8 dataset(s) from 1830 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle25': <1deg_jra55_iaf_omip2spunup_cycle25 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle18': <1deg_jra55_iaf_omip2spunup_cycle18 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle2': <1deg_jra55_iaf_omip2_cycle2 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle13': <1deg_jra55_iaf_omip2spunup_cycle13 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle4': <1deg_jra55_iaf_omip2spunup_cycle4 catalog with 11 dataset(s) from 1989 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle32': <1deg_jra55_iaf_omip2spunup_cycle32 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle27': <1deg_jra55_iaf_omip2spunup_cycle27 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle7': <1deg_jra55_iaf_omip2spunup_cycle7 catalog with 5 dataset(s) from 927 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle5': <025deg_jra55_iaf_omip2_cycle5 catalog with 8 dataset(s) from 1830 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle40': <1deg_jra55_iaf_omip2spunup_cycle40 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle36': <1deg_jra55_iaf_omip2spunup_cycle36 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
-       " '025deg_jra55_ryf9091_gadi': <025deg_jra55_ryf9091_gadi catalog with 6 dataset(s) from 8951 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle28': <1deg_jra55_iaf_omip2spunup_cycle28 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle3': <1deg_jra55_iaf_omip2_cycle3 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle30': <1deg_jra55_iaf_omip2spunup_cycle30 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle10': <1deg_jra55_iaf_omip2spunup_cycle10 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle12': <1deg_jra55_iaf_omip2spunup_cycle12 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle43': <1deg_jra55_iaf_omip2spunup_cycle43 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle1': <1deg_jra55_iaf_omip2_cycle1 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle24': <1deg_jra55_iaf_omip2spunup_cycle24 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle19': <1deg_jra55_iaf_omip2spunup_cycle19 catalog with 4 dataset(s) from 915 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle44': <1deg_jra55_iaf_omip2spunup_cycle44 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle9': <1deg_jra55_iaf_omip2spunup_cycle9 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle26': <1deg_jra55_iaf_omip2spunup_cycle26 catalog with 4 dataset(s) from 915 asset(s)>,\n",
        " '025deg_jra55_iaf_omip2_cycle4': <025deg_jra55_iaf_omip2_cycle4 catalog with 8 dataset(s) from 1830 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle8': <1deg_jra55_iaf_omip2spunup_cycle8 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle17': <1deg_jra55_iaf_omip2spunup_cycle17 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle45': <1deg_jra55_iaf_omip2spunup_cycle45 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '01deg_jra55v13_ryf9091': <01deg_jra55v13_ryf9091 catalog with 34 dataset(s) from 11947 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle20': <1deg_jra55_iaf_omip2spunup_cycle20 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle35': <1deg_jra55_iaf_omip2spunup_cycle35 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle18': <1deg_jra55_iaf_omip2spunup_cycle18 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle23': <1deg_jra55_iaf_omip2spunup_cycle23 catalog with 4 dataset(s) from 915 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle5': <1deg_jra55_iaf_omip2spunup_cycle5 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle5': <1deg_jra55_iaf_omip2_cycle5 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle15': <1deg_jra55_iaf_omip2spunup_cycle15 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle43': <1deg_jra55_iaf_omip2spunup_cycle43 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle26': <1deg_jra55_iaf_omip2spunup_cycle26 catalog with 4 dataset(s) from 915 asset(s)>,\n",
        " '1deg_jra55_ryf9091_gadi': <1deg_jra55_ryf9091_gadi catalog with 9 dataset(s) from 9677 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle10': <1deg_jra55_iaf_omip2spunup_cycle10 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle13': <1deg_jra55_iaf_omip2spunup_cycle13 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle16': <1deg_jra55_iaf_omip2spunup_cycle16 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle12': <1deg_jra55_iaf_omip2spunup_cycle12 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle2': <1deg_jra55_iaf_omip2_cycle2 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle21': <1deg_jra55_iaf_omip2spunup_cycle21 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle35': <1deg_jra55_iaf_omip2spunup_cycle35 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle37': <1deg_jra55_iaf_omip2spunup_cycle37 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle1': <1deg_jra55_iaf_omip2spunup_cycle1 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle8': <1deg_jra55_iaf_omip2spunup_cycle8 catalog with 4 dataset(s) from 915 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle3': <1deg_jra55_iaf_omip2spunup_cycle3 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle6': <1deg_jra55_iaf_omip2spunup_cycle6 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle7': <1deg_jra55_iaf_omip2spunup_cycle7 catalog with 5 dataset(s) from 927 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle33': <1deg_jra55_iaf_omip2spunup_cycle33 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle42': <1deg_jra55_iaf_omip2spunup_cycle42 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle5': <025deg_jra55_iaf_omip2_cycle5 catalog with 8 dataset(s) from 1830 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle29': <1deg_jra55_iaf_omip2spunup_cycle29 catalog with 4 dataset(s) from 915 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle39': <1deg_jra55_iaf_omip2spunup_cycle39 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle14': <1deg_jra55_iaf_omip2spunup_cycle14 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle6': <025deg_jra55_iaf_omip2_cycle6 catalog with 8 dataset(s) from 1830 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle4': <1deg_jra55_iaf_omip2_cycle4 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle45': <1deg_jra55_iaf_omip2spunup_cycle45 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle41': <1deg_jra55_iaf_omip2spunup_cycle41 catalog with 4 dataset(s) from 4575 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle11': <1deg_jra55_iaf_omip2spunup_cycle11 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle21': <1deg_jra55_iaf_omip2spunup_cycle21 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle19': <1deg_jra55_iaf_omip2spunup_cycle19 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle24': <1deg_jra55_iaf_omip2spunup_cycle24 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle27': <1deg_jra55_iaf_omip2spunup_cycle27 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle31': <1deg_jra55_iaf_omip2spunup_cycle31 catalog with 4 dataset(s) from 915 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle1': <1deg_jra55_iaf_omip2_cycle1 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle38': <1deg_jra55_iaf_omip2spunup_cycle38 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2_cycle6': <1deg_jra55_iaf_omip2_cycle6 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle9': <1deg_jra55_iaf_omip2spunup_cycle9 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle42': <1deg_jra55_iaf_omip2spunup_cycle42 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '025deg_jra55_ryf9091_gadi': <025deg_jra55_ryf9091_gadi catalog with 6 dataset(s) from 8951 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle5': <1deg_jra55_iaf_omip2_cycle5 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle17': <1deg_jra55_iaf_omip2spunup_cycle17 catalog with 4 dataset(s) from 915 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle2': <1deg_jra55_iaf_omip2spunup_cycle2 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle34': <1deg_jra55_iaf_omip2spunup_cycle34 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle3': <1deg_jra55_iaf_omip2_cycle3 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle41': <1deg_jra55_iaf_omip2spunup_cycle41 catalog with 4 dataset(s) from 4575 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle1': <1deg_jra55_iaf_omip2spunup_cycle1 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle2': <025deg_jra55_iaf_omip2_cycle2 catalog with 8 dataset(s) from 1830 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle37': <1deg_jra55_iaf_omip2spunup_cycle37 catalog with 10 dataset(s) from 1281 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle4': <1deg_jra55_iaf_omip2spunup_cycle4 catalog with 11 dataset(s) from 1989 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle3': <025deg_jra55_iaf_omip2_cycle3 catalog with 9 dataset(s) from 1869 asset(s)>,\n",
-       " '01deg_jra55v13_ryf9091': <01deg_jra55v13_ryf9091 catalog with 34 dataset(s) from 11947 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle23': <1deg_jra55_iaf_omip2spunup_cycle23 catalog with 4 dataset(s) from 915 asset(s)>}"
+       " '025deg_jra55_iaf_omip2_cycle6': <025deg_jra55_iaf_omip2_cycle6 catalog with 8 dataset(s) from 1830 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle15': <1deg_jra55_iaf_omip2spunup_cycle15 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle1': <025deg_jra55_iaf_omip2_cycle1 catalog with 8 dataset(s) from 1830 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle4': <1deg_jra55_iaf_omip2_cycle4 catalog with 11 dataset(s) from 2013 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle28': <1deg_jra55_iaf_omip2spunup_cycle28 catalog with 4 dataset(s) from 915 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle31': <1deg_jra55_iaf_omip2spunup_cycle31 catalog with 4 dataset(s) from 915 asset(s)>}"
       ]
      },
      "execution_count": 20,
@@ -4681,66 +4681,66 @@
     {
      "data": {
       "text/plain": [
-       "{'1deg_jra55_iaf_omip2spunup_cycle25': <1deg_jra55_iaf_omip2spunup_cycle25 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle1': <025deg_jra55_iaf_omip2_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle29': <1deg_jra55_iaf_omip2spunup_cycle29 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle30': <1deg_jra55_iaf_omip2spunup_cycle30 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle32': <1deg_jra55_iaf_omip2spunup_cycle32 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle38': <1deg_jra55_iaf_omip2spunup_cycle38 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       "{'1deg_jra55_iaf_omip2spunup_cycle36': <1deg_jra55_iaf_omip2spunup_cycle36 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle16': <1deg_jra55_iaf_omip2spunup_cycle16 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle34': <1deg_jra55_iaf_omip2spunup_cycle34 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle33': <1deg_jra55_iaf_omip2spunup_cycle33 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle22': <1deg_jra55_iaf_omip2spunup_cycle22 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle3': <025deg_jra55_iaf_omip2_cycle3 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle14': <1deg_jra55_iaf_omip2spunup_cycle14 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle2': <025deg_jra55_iaf_omip2_cycle2 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle25': <1deg_jra55_iaf_omip2spunup_cycle25 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle18': <1deg_jra55_iaf_omip2spunup_cycle18 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle2': <1deg_jra55_iaf_omip2_cycle2 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle13': <1deg_jra55_iaf_omip2spunup_cycle13 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle4': <1deg_jra55_iaf_omip2spunup_cycle4 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle32': <1deg_jra55_iaf_omip2spunup_cycle32 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle27': <1deg_jra55_iaf_omip2spunup_cycle27 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle7': <1deg_jra55_iaf_omip2spunup_cycle7 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle5': <025deg_jra55_iaf_omip2_cycle5 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle40': <1deg_jra55_iaf_omip2spunup_cycle40 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle36': <1deg_jra55_iaf_omip2spunup_cycle36 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_ryf9091_gadi': <025deg_jra55_ryf9091_gadi catalog with 1 dataset(s) from 325 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle28': <1deg_jra55_iaf_omip2spunup_cycle28 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle3': <1deg_jra55_iaf_omip2_cycle3 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle30': <1deg_jra55_iaf_omip2spunup_cycle30 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle10': <1deg_jra55_iaf_omip2spunup_cycle10 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle12': <1deg_jra55_iaf_omip2spunup_cycle12 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle43': <1deg_jra55_iaf_omip2spunup_cycle43 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle1': <1deg_jra55_iaf_omip2_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle24': <1deg_jra55_iaf_omip2spunup_cycle24 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle19': <1deg_jra55_iaf_omip2spunup_cycle19 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle44': <1deg_jra55_iaf_omip2spunup_cycle44 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle9': <1deg_jra55_iaf_omip2spunup_cycle9 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle26': <1deg_jra55_iaf_omip2spunup_cycle26 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '025deg_jra55_iaf_omip2_cycle4': <025deg_jra55_iaf_omip2_cycle4 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle8': <1deg_jra55_iaf_omip2spunup_cycle8 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle17': <1deg_jra55_iaf_omip2spunup_cycle17 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle45': <1deg_jra55_iaf_omip2spunup_cycle45 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '01deg_jra55v13_ryf9091': <01deg_jra55v13_ryf9091 catalog with 1 dataset(s) from 1116 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle20': <1deg_jra55_iaf_omip2spunup_cycle20 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle35': <1deg_jra55_iaf_omip2spunup_cycle35 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle18': <1deg_jra55_iaf_omip2spunup_cycle18 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle23': <1deg_jra55_iaf_omip2spunup_cycle23 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle5': <1deg_jra55_iaf_omip2spunup_cycle5 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle5': <1deg_jra55_iaf_omip2_cycle5 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle15': <1deg_jra55_iaf_omip2spunup_cycle15 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle43': <1deg_jra55_iaf_omip2spunup_cycle43 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle26': <1deg_jra55_iaf_omip2spunup_cycle26 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_ryf9091_gadi': <1deg_jra55_ryf9091_gadi catalog with 1 dataset(s) from 78 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle10': <1deg_jra55_iaf_omip2spunup_cycle10 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle13': <1deg_jra55_iaf_omip2spunup_cycle13 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle16': <1deg_jra55_iaf_omip2spunup_cycle16 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle12': <1deg_jra55_iaf_omip2spunup_cycle12 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle2': <1deg_jra55_iaf_omip2_cycle2 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle21': <1deg_jra55_iaf_omip2spunup_cycle21 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle35': <1deg_jra55_iaf_omip2spunup_cycle35 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle37': <1deg_jra55_iaf_omip2spunup_cycle37 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle1': <1deg_jra55_iaf_omip2spunup_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle8': <1deg_jra55_iaf_omip2spunup_cycle8 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle3': <1deg_jra55_iaf_omip2spunup_cycle3 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle6': <1deg_jra55_iaf_omip2spunup_cycle6 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle7': <1deg_jra55_iaf_omip2spunup_cycle7 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle33': <1deg_jra55_iaf_omip2spunup_cycle33 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle42': <1deg_jra55_iaf_omip2spunup_cycle42 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle5': <025deg_jra55_iaf_omip2_cycle5 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle29': <1deg_jra55_iaf_omip2spunup_cycle29 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle39': <1deg_jra55_iaf_omip2spunup_cycle39 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle14': <1deg_jra55_iaf_omip2spunup_cycle14 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle6': <025deg_jra55_iaf_omip2_cycle6 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle4': <1deg_jra55_iaf_omip2_cycle4 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle45': <1deg_jra55_iaf_omip2spunup_cycle45 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle41': <1deg_jra55_iaf_omip2spunup_cycle41 catalog with 1 dataset(s) from 305 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle11': <1deg_jra55_iaf_omip2spunup_cycle11 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle21': <1deg_jra55_iaf_omip2spunup_cycle21 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle19': <1deg_jra55_iaf_omip2spunup_cycle19 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle24': <1deg_jra55_iaf_omip2spunup_cycle24 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle27': <1deg_jra55_iaf_omip2spunup_cycle27 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle31': <1deg_jra55_iaf_omip2spunup_cycle31 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle1': <1deg_jra55_iaf_omip2_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle38': <1deg_jra55_iaf_omip2spunup_cycle38 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2_cycle6': <1deg_jra55_iaf_omip2_cycle6 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle9': <1deg_jra55_iaf_omip2spunup_cycle9 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle42': <1deg_jra55_iaf_omip2spunup_cycle42 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '025deg_jra55_ryf9091_gadi': <025deg_jra55_ryf9091_gadi catalog with 1 dataset(s) from 325 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle5': <1deg_jra55_iaf_omip2_cycle5 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle17': <1deg_jra55_iaf_omip2spunup_cycle17 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle2': <1deg_jra55_iaf_omip2spunup_cycle2 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle34': <1deg_jra55_iaf_omip2spunup_cycle34 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle3': <1deg_jra55_iaf_omip2_cycle3 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle41': <1deg_jra55_iaf_omip2spunup_cycle41 catalog with 1 dataset(s) from 305 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle1': <1deg_jra55_iaf_omip2spunup_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle2': <025deg_jra55_iaf_omip2_cycle2 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle37': <1deg_jra55_iaf_omip2spunup_cycle37 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle4': <1deg_jra55_iaf_omip2spunup_cycle4 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle3': <025deg_jra55_iaf_omip2_cycle3 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '01deg_jra55v13_ryf9091': <01deg_jra55v13_ryf9091 catalog with 1 dataset(s) from 1116 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle23': <1deg_jra55_iaf_omip2spunup_cycle23 catalog with 1 dataset(s) from 61 asset(s)>}"
+       " '025deg_jra55_iaf_omip2_cycle6': <025deg_jra55_iaf_omip2_cycle6 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle15': <1deg_jra55_iaf_omip2spunup_cycle15 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle1': <025deg_jra55_iaf_omip2_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle4': <1deg_jra55_iaf_omip2_cycle4 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle28': <1deg_jra55_iaf_omip2spunup_cycle28 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle31': <1deg_jra55_iaf_omip2spunup_cycle31 catalog with 1 dataset(s) from 61 asset(s)>}"
       ]
      },
      "execution_count": 21,
@@ -4776,66 +4776,66 @@
     {
      "data": {
       "text/plain": [
-       "{'1deg_jra55_iaf_omip2spunup_cycle25': <1deg_jra55_iaf_omip2spunup_cycle25 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle1': <025deg_jra55_iaf_omip2_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle29': <1deg_jra55_iaf_omip2spunup_cycle29 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle30': <1deg_jra55_iaf_omip2spunup_cycle30 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle32': <1deg_jra55_iaf_omip2spunup_cycle32 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle38': <1deg_jra55_iaf_omip2spunup_cycle38 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       "{'1deg_jra55_iaf_omip2spunup_cycle36': <1deg_jra55_iaf_omip2spunup_cycle36 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle16': <1deg_jra55_iaf_omip2spunup_cycle16 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle34': <1deg_jra55_iaf_omip2spunup_cycle34 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle33': <1deg_jra55_iaf_omip2spunup_cycle33 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle22': <1deg_jra55_iaf_omip2spunup_cycle22 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle3': <025deg_jra55_iaf_omip2_cycle3 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle14': <1deg_jra55_iaf_omip2spunup_cycle14 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle2': <025deg_jra55_iaf_omip2_cycle2 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle25': <1deg_jra55_iaf_omip2spunup_cycle25 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle18': <1deg_jra55_iaf_omip2spunup_cycle18 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle2': <1deg_jra55_iaf_omip2_cycle2 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle13': <1deg_jra55_iaf_omip2spunup_cycle13 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle4': <1deg_jra55_iaf_omip2spunup_cycle4 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle32': <1deg_jra55_iaf_omip2spunup_cycle32 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle27': <1deg_jra55_iaf_omip2spunup_cycle27 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle7': <1deg_jra55_iaf_omip2spunup_cycle7 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle5': <025deg_jra55_iaf_omip2_cycle5 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle40': <1deg_jra55_iaf_omip2spunup_cycle40 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle36': <1deg_jra55_iaf_omip2spunup_cycle36 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_ryf9091_gadi': <025deg_jra55_ryf9091_gadi catalog with 1 dataset(s) from 325 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle28': <1deg_jra55_iaf_omip2spunup_cycle28 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle3': <1deg_jra55_iaf_omip2_cycle3 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle30': <1deg_jra55_iaf_omip2spunup_cycle30 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle10': <1deg_jra55_iaf_omip2spunup_cycle10 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle12': <1deg_jra55_iaf_omip2spunup_cycle12 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle43': <1deg_jra55_iaf_omip2spunup_cycle43 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle1': <1deg_jra55_iaf_omip2_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle24': <1deg_jra55_iaf_omip2spunup_cycle24 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle19': <1deg_jra55_iaf_omip2spunup_cycle19 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle44': <1deg_jra55_iaf_omip2spunup_cycle44 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle9': <1deg_jra55_iaf_omip2spunup_cycle9 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle26': <1deg_jra55_iaf_omip2spunup_cycle26 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '025deg_jra55_iaf_omip2_cycle4': <025deg_jra55_iaf_omip2_cycle4 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle8': <1deg_jra55_iaf_omip2spunup_cycle8 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle17': <1deg_jra55_iaf_omip2spunup_cycle17 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle45': <1deg_jra55_iaf_omip2spunup_cycle45 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '01deg_jra55v13_ryf9091': <01deg_jra55v13_ryf9091 catalog with 1 dataset(s) from 1116 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle20': <1deg_jra55_iaf_omip2spunup_cycle20 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle35': <1deg_jra55_iaf_omip2spunup_cycle35 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle18': <1deg_jra55_iaf_omip2spunup_cycle18 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle23': <1deg_jra55_iaf_omip2spunup_cycle23 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle5': <1deg_jra55_iaf_omip2spunup_cycle5 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle5': <1deg_jra55_iaf_omip2_cycle5 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle15': <1deg_jra55_iaf_omip2spunup_cycle15 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle43': <1deg_jra55_iaf_omip2spunup_cycle43 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle26': <1deg_jra55_iaf_omip2spunup_cycle26 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_ryf9091_gadi': <1deg_jra55_ryf9091_gadi catalog with 1 dataset(s) from 78 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle10': <1deg_jra55_iaf_omip2spunup_cycle10 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle13': <1deg_jra55_iaf_omip2spunup_cycle13 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle16': <1deg_jra55_iaf_omip2spunup_cycle16 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle12': <1deg_jra55_iaf_omip2spunup_cycle12 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle2': <1deg_jra55_iaf_omip2_cycle2 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle21': <1deg_jra55_iaf_omip2spunup_cycle21 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle35': <1deg_jra55_iaf_omip2spunup_cycle35 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle37': <1deg_jra55_iaf_omip2spunup_cycle37 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle1': <1deg_jra55_iaf_omip2spunup_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle8': <1deg_jra55_iaf_omip2spunup_cycle8 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle3': <1deg_jra55_iaf_omip2spunup_cycle3 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle6': <1deg_jra55_iaf_omip2spunup_cycle6 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle7': <1deg_jra55_iaf_omip2spunup_cycle7 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle33': <1deg_jra55_iaf_omip2spunup_cycle33 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle42': <1deg_jra55_iaf_omip2spunup_cycle42 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle5': <025deg_jra55_iaf_omip2_cycle5 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle29': <1deg_jra55_iaf_omip2spunup_cycle29 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle39': <1deg_jra55_iaf_omip2spunup_cycle39 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle14': <1deg_jra55_iaf_omip2spunup_cycle14 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle6': <025deg_jra55_iaf_omip2_cycle6 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle4': <1deg_jra55_iaf_omip2_cycle4 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle45': <1deg_jra55_iaf_omip2spunup_cycle45 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle41': <1deg_jra55_iaf_omip2spunup_cycle41 catalog with 1 dataset(s) from 305 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle11': <1deg_jra55_iaf_omip2spunup_cycle11 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle21': <1deg_jra55_iaf_omip2spunup_cycle21 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle19': <1deg_jra55_iaf_omip2spunup_cycle19 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle24': <1deg_jra55_iaf_omip2spunup_cycle24 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle27': <1deg_jra55_iaf_omip2spunup_cycle27 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle31': <1deg_jra55_iaf_omip2spunup_cycle31 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle1': <1deg_jra55_iaf_omip2_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle38': <1deg_jra55_iaf_omip2spunup_cycle38 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2_cycle6': <1deg_jra55_iaf_omip2_cycle6 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle9': <1deg_jra55_iaf_omip2spunup_cycle9 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle42': <1deg_jra55_iaf_omip2spunup_cycle42 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '025deg_jra55_ryf9091_gadi': <025deg_jra55_ryf9091_gadi catalog with 1 dataset(s) from 325 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle5': <1deg_jra55_iaf_omip2_cycle5 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle17': <1deg_jra55_iaf_omip2spunup_cycle17 catalog with 1 dataset(s) from 61 asset(s)>,\n",
        " '1deg_jra55_iaf_omip2spunup_cycle2': <1deg_jra55_iaf_omip2spunup_cycle2 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle34': <1deg_jra55_iaf_omip2spunup_cycle34 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2_cycle3': <1deg_jra55_iaf_omip2_cycle3 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle41': <1deg_jra55_iaf_omip2spunup_cycle41 catalog with 1 dataset(s) from 305 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle1': <1deg_jra55_iaf_omip2spunup_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle2': <025deg_jra55_iaf_omip2_cycle2 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle37': <1deg_jra55_iaf_omip2spunup_cycle37 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle4': <1deg_jra55_iaf_omip2spunup_cycle4 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '025deg_jra55_iaf_omip2_cycle3': <025deg_jra55_iaf_omip2_cycle3 catalog with 1 dataset(s) from 61 asset(s)>,\n",
-       " '01deg_jra55v13_ryf9091': <01deg_jra55v13_ryf9091 catalog with 1 dataset(s) from 1116 asset(s)>,\n",
-       " '1deg_jra55_iaf_omip2spunup_cycle23': <1deg_jra55_iaf_omip2spunup_cycle23 catalog with 1 dataset(s) from 61 asset(s)>}"
+       " '025deg_jra55_iaf_omip2_cycle6': <025deg_jra55_iaf_omip2_cycle6 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle15': <1deg_jra55_iaf_omip2spunup_cycle15 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '025deg_jra55_iaf_omip2_cycle1': <025deg_jra55_iaf_omip2_cycle1 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2_cycle4': <1deg_jra55_iaf_omip2_cycle4 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle28': <1deg_jra55_iaf_omip2spunup_cycle28 catalog with 1 dataset(s) from 61 asset(s)>,\n",
+       " '1deg_jra55_iaf_omip2spunup_cycle31': <1deg_jra55_iaf_omip2spunup_cycle31 catalog with 1 dataset(s) from 61 asset(s)>}"
       ]
      },
      "execution_count": 22,
@@ -4872,7 +4872,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x14b7c676c9d0>"
+       "<matplotlib.legend.Legend at 0x1502d9620ad0>"
       ]
      },
      "execution_count": 23,
@@ -5063,7 +5063,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -5256,7 +5256,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -5273,7 +5273,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 33,
    "id": "6c4cd152-ffea-4651-b9b3-980f51a63c89",
    "metadata": {
     "tags": []
diff --git a/src/access_nri_intake/data/catalog.yaml b/src/access_nri_intake/data/catalog.yaml
index dfcc502b..90683b0c 100644
--- a/src/access_nri_intake/data/catalog.yaml
+++ b/src/access_nri_intake/data/catalog.yaml
@@ -17,6 +17,6 @@ sources:
       version: '{{version}}'
     parameters:
       version:
-        default: v0.1.1
+        default: v0.1.2
         description: Catalog version
         type: str