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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.sochic-h2020.eu/erddap/tabledap/AntAWS_3H.subset https://erddap.sochic-h2020.eu/erddap/tabledap/AntAWS_3H https://erddap.sochic-h2020.eu/erddap/tabledap/AntAWS_3H.graph https://erddap.sochic-h2020.eu/erddap/files/AntAWS_3H/ AntAWS - 3 Houarly A meteorological dataset derived from Antarctic automatic weather station records at 3-h resolution, daily and monthly, including quality control information. This dataset integrates measurements of air temperature, atmospheric pressure, wind speed and direction from 267 Antarctic AWSs obtained from 1980 to 2021. The spatial distribution of the AWSs remains heterogeneous, with most of the instruments located in nearshore areas and only a few inland on the East Antarctic Plateau.\n\ncdm_data_type = Other\nVARIABLES:\nPLATFORM_NAME\ninstitution\nlatitude (degrees_north)\nlongitude (degrees_east)\nelevation (m)\nDRYT (Air Temperature, degrees Celsius)\nATMP (Air Pressure, hPa)\nWSPD (Wind Speed, m/s)\nWDIR (WInd direction, degrees)\nRELH (Relative Humidity, %)\ntime (seconds since 1970-01-01T00:00:00Z)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/AntAWS_3H_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/AntAWS_3H_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/AntAWS_3H/index.htmlTable https://amrdcdata.ssec.wisc.edu/dataset/antaws-dataset (external link) https://erddap.sochic-h2020.eu/erddap/rss/AntAWS_3H.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=AntAWS_3H&showErrors=false&email= AMRDC AntAWS_3H
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_air https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_air.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_air/request Daily NCEP/DOE Reanalysis 2 (air.2m.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][level][latitude][longitude]):\nair (Daily Forecast of Air temperature at 2 m, degK)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_air_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_air_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_air/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_air.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_air&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_air
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_cprat https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_cprat.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_cprat/request Daily NCEP/DOE Reanalysis 2 (cprat.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\ncprat (Daily Mean of Convective Precipitation Rate at Surface, Kg/m^2/s)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_cprat_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_cprat_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_cprat/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_cprat.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_cprat&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_cprat
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_dlwrf https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_dlwrf.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_dlwrf/request Daily NCEP/DOE Reanalysis 2 (dlwrf.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\ndlwrf (Daily Mean of Downward Longwave Radiation Flux at Surface, W/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_dlwrf_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_dlwrf_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_dlwrf/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_dlwrf.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_dlwrf&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_dlwrf
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_icec https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_icec.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_icec/request Daily NCEP/DOE Reanalysis 2 (icec.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nicec (Daily Forecast of Ice Concentration at Surface)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_icec_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_icec_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_icec/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_icec.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_icec&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_icec
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_lhtfl https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_lhtfl.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_lhtfl/request Daily NCEP/DOE Reanalysis 2 (lhtfl.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nlhtfl (Daily Mean of Latent Heat Net Flux at Surface, W/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_lhtfl_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_lhtfl_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_lhtfl/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_lhtfl.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_lhtfl&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_lhtfl
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_pevpr https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_pevpr.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_pevpr/request Daily NCEP/DOE Reanalysis 2 (pevpr.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\npevpr (Daily Mean of Potential Evaporation Rate at Surface, W/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_pevpr_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_pevpr_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_pevpr/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_pevpr.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_pevpr&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_pevpr
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_prate https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_prate.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_prate/request Daily NCEP/DOE Reanalysis 2 (prate.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nprate (Daily Mean of Precipitation Rate at Surface, Kg/m^2/s)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_prate_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_prate_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_prate/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_prate.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_prate&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_prate
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_uflx https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_uflx.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_uflx/request Daily NCEP/DOE Reanalysis 2 (uflx.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nuflx (Daily Mean of Momentum Flux, u-component at Surface, N/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_uflx_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_uflx_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_uflx/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_uflx.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_uflx&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_uflx
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 (external link) 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/tabledap/EP_ERD_SLD_ATME_AL_PP_955.subset https://erddap.sochic-h2020.eu/erddap/tabledap/EP_ERD_SLD_ATME_AL_PP_955 https://erddap.sochic-h2020.eu/erddap/tabledap/EP_ERD_SLD_ATME_AL_PP_955.graph https://erddap.sochic-h2020.eu/erddap/files/EP_ERD_SLD_ATME_AL_PP_955/ EMODnet Physics - Collection of Saildrone Atlantic Ocean to Mediterranean (ATL2MED) SD-1030 Real-Time-Data Saildrone Atlantic Ocean to Mediterranean (ATL2MED) SD-1030 Sea Real-Time-Data. Saildrone data from a local source.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\nWING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)\n... (53 more variables)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/EP_ERD_SLD_ATME_AL_PP_955_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/EP_ERD_SLD_ATME_AL_PP_955_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/EP_ERD_SLD_ATME_AL_PP_955/index.htmlTable http://saildrone.com/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/EP_ERD_SLD_ATME_AL_PP_955.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=EP_ERD_SLD_ATME_AL_PP_955&showErrors=false&email= Saildrone EP_ERD_SLD_ATME_AL_PP_955
https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED https://erddap.sochic-h2020.eu/erddap/griddap/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED.graph https://erddap.sochic-h2020.eu/erddap/files/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED/ EMODnet Physics - Deseasonalized Sea Level monthly means Global Oceans EMODnet Physics - Deseasonalized Sea Level monthly means Global Oceans. This product is based, uses and reprocess the CMEMS product id. SEALEVEL_GLO_PHY_CLIMATE_L4_REP_OBSERVATIONS_008_057.\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_DESEASONALIZED_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED/index.htmlTable http://climate.copernicus.eu (external link) https://erddap.sochic-h2020.eu/erddap/rss/EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED&showErrors=false&email= CMCC - EMODnet Physics EMODNET_SEA_LEVEL_MONTHLY_MEAN_DESEASONALIZED
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 (external link) 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/ (external link) 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
https://erddap.sochic-h2020.eu/erddap/griddap/RSMC_seaice https://erddap.sochic-h2020.eu/erddap/griddap/RSMC_seaice.graph https://erddap.sochic-h2020.eu/erddap/wms/RSMC_seaice/request Ice Cover - 55-year Reanalysis 1957-present Ice Cover - 55-year Reanalysis 1957-present, Japan Meteorological Agency data. Daily 3-Hourly and 6-Hourly Data/ Sea Ice Field\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][timeOffset][latitude][longitude]):\nIce_cover_surface (Ice cover @ Ground or water surface, fraction)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/RSMC_seaice_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/RSMC_seaice_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/RSMC_seaice/index.htmlTable https://thredds.rda.ucar.edu/thredds/dodsC/aggregations/g/ds628.0/29/TwoD.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/RSMC_seaice.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=RSMC_seaice&showErrors=false&email= RSMC, Japan Meteorological Agency RSMC_seaice
https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_gflux https://erddap.sochic-h2020.eu/erddap/griddap/NCEP_DOE_Reanalysis_2_gflux.graph https://erddap.sochic-h2020.eu/erddap/wms/NCEP_DOE_Reanalysis_2_gflux/request mean Daily NCEP/DOE Reanalysis 2 (gflux.sfc.gauss.1979) Data is from \nNational Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)\n(4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\ngflux (daily mean 6-Hourly Mean of Ground Heat Flux at Surface, W/m^2)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/NCEP_DOE_Reanalysis_2_gflux_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/NCEP_DOE_Reanalysis_2_gflux_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/NCEP_DOE_Reanalysis_2_gflux/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/NCEP_DOE_Reanalysis_2_gflux.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=NCEP_DOE_Reanalysis_2_gflux&showErrors=false&email= National Centers for Environmental Prediction NCEP_DOE_Reanalysis_2_gflux
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SO_Saildrone_ASVCO2_preliminary https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SO_Saildrone_ASVCO2_preliminary.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_SO_Saildrone_ASVCO2_preliminary/ SAILDRONE_ASVCO2_preliminary Saildrone ASVCO2 preliminary data\n\ncdm_data_type = Other\nVARIABLES:\nDate\ntime2 (Time)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSST (Sea Surface Temperature)\nSSS (Sea Water Practical Salinity, PSU)\npCO2_SW (carbon dioxide in surface seawater, uatm)\ntime (seconds since 1970-01-01T00:00:00Z)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_SO_Saildrone_ASVCO2_preliminary_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_SO_Saildrone_ASVCO2_preliminary_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_SO_Saildrone_ASVCO2_preliminary/index.htmlTable http://roammiz.com/ (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_SO_Saildrone_ASVCO2_preliminary.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_SO_Saildrone_ASVCO2_preliminary&showErrors=false&email= University of Gothenburg SOCHIC_SO_Saildrone_ASVCO2_preliminary
https://erddap.sochic-h2020.eu/erddap/griddap/SOCHIC_Generalisation_icec_sfc_mon_mean https://erddap.sochic-h2020.eu/erddap/griddap/SOCHIC_Generalisation_icec_sfc_mon_mean.graph https://erddap.sochic-h2020.eu/erddap/wms/SOCHIC_Generalisation_icec_sfc_mon_mean/request SOCHIC-Generalisation/icec_sfc_mon_mean Data is from National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2) (4x/day).  Data interpolated from model (sigma) surfaces to gaussian grid.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nicec (Monthly Mean of Forecast of Ice Concentration at Surface)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_Generalisation_icec_sfc_mon_mean_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_Generalisation_icec_sfc_mon_mean_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_Generalisation_icec_sfc_mon_mean/index.htmlTable https://www.psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_Generalisation_icec_sfc_mon_mean.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_Generalisation_icec_sfc_mon_mean&showErrors=false&email= National Centers for Environmental Prediction SOCHIC_Generalisation_icec_sfc_mon_mean
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_JRA_collocated_glider https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_JRA_collocated_glider.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_SOSCEx_STORM2_Glider_Data_JRA_collocated_glider/ SOCHIC-SOSCEx_STORM2_Glider_Data/JRA_collocated_glider SOCHIC-SOSCEx_STORM2_Glider_Data/JRA_collocated_glider\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nwind_speed_JRA_ms (Wind Speed)\nwind_direction_JRA_deg (Wind From Direction)\nwind_stress_JRA_nm2\nfriction_velocity_JRA_ms\nsurface_pressure_JRA_mb (Surface Air Pressure)\nsurface_ocean_temperature_JRA_degC (Surface Ocean Temperature JRA Deg C)\nsurface_air_temperature_JRA_degC (Surface Air Temperature JRA Deg C)\n https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_SOSCEx_STORM2_Glider_Data_JRA_collocated_glider/index.htmlTable https://doi.org/10.1029/2021JC017760 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_SOSCEx_STORM2_Glider_Data_JRA_collocated_glider.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_SOSCEx_STORM2_Glider_Data_JRA_collocated_glider&showErrors=false&email= University of Gothenburg SOCHIC_SOSCEx_STORM2_Glider_Data_JRA_collocated_glider
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_WG_and_timeseries_nicholson_etal_2021.subset https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_WG_and_timeseries_nicholson_etal_2021 https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_SOSCEx_STORM2_Glider_Data_WG_and_timeseries_nicholson_etal_2021.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_SOSCEx_STORM2_Glider_Data_WG_and_timeseries_nicholson_etal_2021/ SOCHIC-SOSCEx_STORM2_Glider_Data/WG_and_timeseries_nicholson_etal_2021 SOCHIC-SOSCEx_STORM2_Glider_Data/WG_and_timeseries_nicholson_etal_2021\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\npCO2sea_uatm (P CO2sea Uatm)\npCO2atm_uatm (P CO2atm Uatm)\nwind_speed_WG_ms (Wind Speed)\nwind_speed_JRA_ms (Wind Speed)\nSea_level_pressure_JRA_mb\nCO2_flux_WG_molm2day1\nAbs_salinity_daily_WG_gkg (Sea Water Practical Salinity, PSU)\nsst_daily_WG_degC (Sst Daily WG Deg C)\nDIC_WG_umolkg\nmld003_slocum_m\nxld_slocum_m\nustar_ms\neps_z_obs_m2s3\neps_z_theory_m2s3\nPCO2_DIC_muatm\nPCO2_SST_muatm\nPCO2_DIC_anom_muatm\nWind_stress_nm2\nWind_dir_deg (Wind From Direction)\nDensity\nTotal_Alkalinity_mumolkg\nDissolved_Inorganic_Carbon_mumolkg\nDIC_TA_r\nTemperature_degC (Temperature Deg C)\nWind_Speed_JRA (Wind Speed)\nWind_Dir_JRA (Wind From Direction)\n https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_SOSCEx_STORM2_Glider_Data_WG_and_timeseries_nicholson_etal_2021/index.htmlTable https://doi.org/10.1029/2021JC017760 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_SOSCEx_STORM2_Glider_Data_WG_and_timeseries_nicholson_etal_2021.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_SOSCEx_STORM2_Glider_Data_WG_and_timeseries_nicholson_etal_2021&showErrors=false&email= University of Gothenburg SOCHIC_SOSCEx_STORM2_Glider_Data_WG_and_timeseries_nicholson_etal_2021
https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SD_1067_NRT.subset https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SD_1067_NRT https://erddap.sochic-h2020.eu/erddap/tabledap/SOCHIC_2022_SD_1067_NRT.graph https://erddap.sochic-h2020.eu/erddap/files/SOCHIC_2022_SD_1067_NRT/ SOCHIC_SO_Saildrone_NRT_data_2022 This dataset contains atmospheric and oceanic observations of wind speed, air and sea temperature, relative humidity, short and longwave radiation, pCO2, dissolved oxygen, chlorophyll-a, salinity, and currents. The Saildrone was deployed in the Agulhas retroflection area in the Cape Cauldron from the 24th of August 2022 to the 22nd of November 2022.\n\ncdm_data_type = Trajectory\nVARIABLES:\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\nWING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)\nWING_ROLL_FILTERED_PEAK (Wing roll one minute peak, degree)\nWING_PITCH_FILTERED_MEAN (Wing pitch one minute mean, degree)\n... (84 more variables)\n https://erddap.sochic-h2020.eu/erddap/metadata/fgdc/xml/SOCHIC_2022_SD_1067_NRT_fgdc.xml https://erddap.sochic-h2020.eu/erddap/metadata/iso19115/xml/SOCHIC_2022_SD_1067_NRT_iso19115.xml https://erddap.sochic-h2020.eu/erddap/info/SOCHIC_2022_SD_1067_NRT/index.htmlTable https://zenodo.org/records/11059426 (external link) https://erddap.sochic-h2020.eu/erddap/rss/SOCHIC_2022_SD_1067_NRT.rss https://erddap.sochic-h2020.eu/erddap/subscriptions/add.html?datasetID=SOCHIC_2022_SD_1067_NRT&showErrors=false&email= SO-CHIC SOCHIC_2022_SD_1067_NRT

 
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