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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_TREND | https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_TREND.graph | https://erddap.sochic-h2020.eu/erddap/files/EMODNET_SEA_LEVEL_TREND/ | EMODnet Physics - Absolute Sea Level Trend | EMODnet Physics - Absolute Sea Level Trends - trends are derived from the DUACS delayed-time (DT-2018 version) altimeter gridded maps of sea level anomalies based on a stable number of altimeters (two) in the satellite constellation.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsla (Sea level anomaly, mm/yr)\n | https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/EMODNET_SEA_LEVEL_TREND_fgdc.xml | https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/EMODNET_SEA_LEVEL_TREND_iso19115.xml | https://erddap.sochic-h2020.eu/erddap/info/EMODNET_SEA_LEVEL_TREND/index.htmlTable | http://climate.copernicus.eu
| https://erddap.sochic-h2020.eu/erddap/rss/EMODNET_SEA_LEVEL_TREND.rss | https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=EMODNET_SEA_LEVEL_TREND&showErrors=false&email= | CMCC - EMODnet Physics | EMODNET_SEA_LEVEL_TREND | |||
| https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_MONTHLY_MEAN | https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_MONTHLY_MEAN.graph | https://erddap.sochic-h2020.eu/erddap/files/EMODNET_SEA_LEVEL_MONTHLY_MEAN/ | EMODnet Physics - Sea Level monthly mean, Global Oceans. This product is based, uses and reprocess the CMEMS product id. SEALEVEL_GLO_PHY_CLIMATE_L4_REP_OBSERVATIONS_008_057 | SSALTO/DUACS Delayed-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsla (Sea level anomaly, m)\n | https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/EMODNET_SEA_LEVEL_MONTHLY_MEAN_fgdc.xml | https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/EMODNET_SEA_LEVEL_MONTHLY_MEAN_iso19115.xml | https://erddap.sochic-h2020.eu/erddap/info/EMODNET_SEA_LEVEL_MONTHLY_MEAN/index.htmlTable | http://climate.copernicus.eu
| https://erddap.sochic-h2020.eu/erddap/rss/EMODNET_SEA_LEVEL_MONTHLY_MEAN.rss | https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=EMODNET_SEA_LEVEL_MONTHLY_MEAN&showErrors=false&email= | CMCC - EMODnet Physics | EMODNET_SEA_LEVEL_MONTHLY_MEAN | |||
| https://erddap.sochic-h2020.eu/erddap/griddap/GLODAPv2_2016b_MappedClimatologies | https://erddap.sochic-h2020.eu/erddap/griddap/GLODAPv2_2016b_MappedClimatologies.graph | https://erddap.sochic-h2020.eu/erddap/files/GLODAPv2_2016b_MappedClimatologies/ | Global Ocean Data Analysis Project for Carbon (GLODAP) - Mapped Climatologies v2 2016b | 1 X 1 global mapped field of anthropogenic carbon content from the GLODAPv2 data product. Mapping is performed using the DIVA software (Troupin et al., 2012). Error fields are calculated using the clever poor mans error calculation method in DIVA (Beckers et al., 2014). The error fields represent the mapping error only, and does not include measurement or calculation uncertainties in the input data.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [depth][latitude][longitude]):\nCant (moles of anthropogenic carbon content per unit mass in seawater, micro-mol kg-1)\nCant_error (anthropogenic carbon content error, micro-mol kg-1)\nCant_Input_mean (bin averaged input data, micro-mol kg-1)\nCant_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\nCant_Input_N (number of data in bins)\nCant_relerr (relative error)\nNO3 (moles of nitrate per unit mass in seawater, micro-mol kg-1)\nNO3_error (nitrate error, micro-mol kg-1)\nNO3_Input_mean (bin averaged input data, micro-mol kg-1)\nNO3_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\nNO3_Input_N (number of data in bins)\nNO3_relerr (relative error)\nOmegaA (aragonite saturation state calculated at in situ temperature and pressure)\nOmegaA_error (OmegaAr error)\nOmegaA_Input_mean (bin averaged input data, micro-mol kg-1)\nOmegaA_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\nOmegaA_Input_N (number of data in bins)\nOmegaA_relerr (relative error)\nOmegaC (calcite saturation state calculated at in situ temperature and pressure)\nOmegaC_error (OmegaCa error)\nOmegaC_Input_mean (bin averaged input data, micro-mol kg-1)\nOmegaC_Input_std (standard deviation of bin averaged input data, micro-mol kg-1)\nOmegaC_Input_N (number of data in bins)\n... (61 more variables)\n | https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/GLODAPv2_2016b_MappedClimatologies_fgdc.xml | https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/GLODAPv2_2016b_MappedClimatologies_iso19115.xml | https://erddap.sochic-h2020.eu/erddap/info/GLODAPv2_2016b_MappedClimatologies/index.htmlTable | https://www.glodap.info/index.php/mapped-data-product/
| https://erddap.sochic-h2020.eu/erddap/rss/GLODAPv2_2016b_MappedClimatologies.rss | https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=GLODAPv2_2016b_MappedClimatologies&showErrors=false&email= | Global Ocean Data Analysis Project (GLODAP) | GLODAPv2_2016b_MappedClimatologies |