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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.emodnet-physics.eu/erddap/tabledap/ArgoFloats https://erddap.emodnet-physics.eu/erddap/tabledap/ArgoFloats.graph Argo Float Measurements Argo float vertical profiles from Coriolis Global Data Assembly Centres\n(GDAC). Argo is an international collaboration that collects high-quality\ntemperature and salinity profiles from the upper 2000m of the ice-free\nglobal ocean and currents from intermediate depths. The data come from\nbattery-powered autonomous floats that spend most of their life drifting\nat depth where they are stabilised by being neutrally buoyant at the\n\"parking depth\" pressure by having a density equal to the ambient pressure\nand a compressibility that is less than that of sea water. At present there\nare several models of profiling float used in Argo. All work in a similar\nfashion but differ somewhat in their design characteristics. At typically\n10-day intervals, the floats pump fluid into an external bladder and rise\nto the surface over about 6 hours while measuring temperature and salinity.\nSatellites or GPS determine the position of the floats when they surface,\nand the floats transmit their data to the satellites. The bladder then\ndeflates and the float returns to its original density and sinks to drift\nuntil the cycle is repeated. Floats are designed to make about 150 such\ncycles.\nData Management URL: http://www.argodatamgt.org/Documentation\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\nfileNumber (File Number)\ndata_type\nformat_version (File format version)\nhandbook_version (Data handbook version)\nreference_date_time (Date of reference for Julian days, seconds since 1970-01-01T00:00:00Z)\ndate_creation (Date of file creation, seconds since 1970-01-01T00:00:00Z)\ndate_update (Date of update of this file, seconds since 1970-01-01T00:00:00Z)\nplatform_number (Float unique identifier)\nproject_name (Name of the project)\npi_name (Name of the principal investigator)\n... (49 more variables)\n https://erddap.emodnet-physics.eu/erddap/metadata/fgdc/xml/ArgoFloats_fgdc.xml https://erddap.emodnet-physics.eu/erddap/metadata/iso19115/xml/ArgoFloats_iso19115.xml https://erddap.emodnet-physics.eu/erddap/info/ArgoFloats/index.htmlTable https://argo.ucsd.edu/ (external link) http://erddap.emodnet-physics.eu/erddap/rss/ArgoFloats.rss https://erddap.emodnet-physics.eu/erddap/subscriptions/add.html?datasetID=ArgoFloats&showErrors=false&email= Argo ArgoFloats
https://erddap.emodnet-physics.eu/erddap/griddap/EMODPACE_SLEV_TREND https://erddap.emodnet-physics.eu/erddap/griddap/EMODPACE_SLEV_TREND.graph https://erddap.emodnet-physics.eu/erddap/files/EMODPACE_SLEV_TREND/ EMODPACE - Absolute sea level trend (1993 - 2019) - derived from CMEMS-DUACS (DT-2018) satellite altimetry EMODPACE - Absolute sea level trend (1993 - 2019) - derived from CMEMS-DUACS (DT-2018) satellite altimetry\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nsla (Sea level anomaly, mm/yr)\n https://erddap.emodnet-physics.eu/erddap/metadata/fgdc/xml/EMODPACE_SLEV_TREND_fgdc.xml https://erddap.emodnet-physics.eu/erddap/metadata/iso19115/xml/EMODPACE_SLEV_TREND_iso19115.xml https://erddap.emodnet-physics.eu/erddap/info/EMODPACE_SLEV_TREND/index.htmlTable http://climate.copernicus.eu (external link) http://erddap.emodnet-physics.eu/erddap/rss/EMODPACE_SLEV_TREND.rss https://erddap.emodnet-physics.eu/erddap/subscriptions/add.html?datasetID=EMODPACE_SLEV_TREND&showErrors=false&email= CMCC EMODPACE_SLEV_TREND
https://erddap.emodnet-physics.eu/erddap/griddap/EMODPACE_SLEV_199301_201812_TREND https://erddap.emodnet-physics.eu/erddap/griddap/EMODPACE_SLEV_199301_201812_TREND.graph https://erddap.emodnet-physics.eu/erddap/wms/EMODPACE_SLEV_199301_201812_TREND/request https://erddap.emodnet-physics.eu/erddap/files/EMODPACE_SLEV_199301_201812_TREND/ EMODPACE - Regional sea level 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 EMODPACE - Regional sea level 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. 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, mm/yr)\n https://erddap.emodnet-physics.eu/erddap/metadata/fgdc/xml/EMODPACE_SLEV_199301_201812_TREND_fgdc.xml https://erddap.emodnet-physics.eu/erddap/metadata/iso19115/xml/EMODPACE_SLEV_199301_201812_TREND_iso19115.xml https://erddap.emodnet-physics.eu/erddap/info/EMODPACE_SLEV_199301_201812_TREND/index.htmlTable http://climate.copernicus.eu (external link) http://erddap.emodnet-physics.eu/erddap/rss/EMODPACE_SLEV_199301_201812_TREND.rss https://erddap.emodnet-physics.eu/erddap/subscriptions/add.html?datasetID=EMODPACE_SLEV_199301_201812_TREND&showErrors=false&email= CMCC EMODPACE_SLEV_199301_201812_TREND

 
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