griddap
| Subset
| tabledap
| Make A Graph
| wms
| files
| Accessible
| Title
| Summary
| FGDC
| ISO 19115
| Info
| Background Info
| RSS
| Email
| Institution
| Dataset ID
|
| https://erddap.ifremer.fr/erddap/tabledap/drifter_hourly_qc.subset
| https://erddap.ifremer.fr/erddap/tabledap/drifter_hourly_qc
| https://erddap.ifremer.fr/erddap/tabledap/drifter_hourly_qc.graph
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| https://erddap.ifremer.fr/erddap/files/drifter_hourly_qc/
| public
| Global Drifter Program - 1 Hour Interpolated QC Drifter Data
| Global Drifter Program hourly drifting buoy collection. Quality control interpolated (interpolation via mathematical model fitting) data. Hourly Drifter data product exists from early 2000's to present, well suited for observing smaller-scale oceanic processes. NOAA-Atlantic Oceanographic & Meteorological Laboratory (AOML) data from a local source. The hourly QC dataset is updated on a quarterly basis, i.e. every 3 months, in delayed mode, but the data processing team has experienced unforeseen setbacks. The GDP is working as quickly as possible to update the dataset. Please reference the acknowledgment attribute to cite the dataset's DOI.\n\ncdm_data_type = Trajectory\nVARIABLES:\nID (Global Drifter Program Buoy ID)\nWMO (World Meteorological Organization buoy identification number)\nexpno (Experiment number, count)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlon360 (Longitude, degrees_east)\nsst (fitted sea water temperature, Kelvin)\nsst1 (fitted non-diurnal sea water temperature, Kelvin)\nsst2 (fitted diurnal sea water temperature, Kelvin)\nerr_sst (standard uncertainty of fitted sea water temperature, Kelvin)\nerr_sst1 (standard uncertainty of fitted non-diurnal sea water temperature, Kelvin)\nerr_sst2 (standard uncertainty of fitted diurnal sea water temperature, Kelvin)\nflg_sst (fitted sea water temperature quality flag, dimensionless)\nflg_sst1 (fitted non-diurnal sea water temperature quality flag, dimensionless)\nflg_sst2 (fitted diurnal sea water temperature quality flag, dimensionless)\nve (Eastward velocity, m/s)\nvn (Northward velocity, m/s)\nerr_lat (95% confidence interval in latitude, degrees_north)\nerr_lon (95% confidence interval in longitude, degrees_east)\nerr_ve (95% confidence interval in eastward velocity, m/s)\n... (33 more variables)\n
| https://erddap.ifremer.fr/erddap/metadata/fgdc/xml/drifter_hourly_qc_fgdc.xml
| https://erddap.ifremer.fr/erddap/metadata/iso19115/xml/drifter_hourly_qc_iso19115.xml
| https://erddap.ifremer.fr/erddap/info/drifter_hourly_qc/index.htmlTable
| https://www.aoml.noaa.gov/phod/dac/dirall.html
| https://erddap.ifremer.fr/erddap/rss/drifter_hourly_qc.rss
| https://erddap.ifremer.fr/erddap/subscriptions/add.html?datasetID=drifter_hourly_qc&showErrors=false&email=
| NOAA Atlantic Oceanographic and Meteorological Laboratory
| drifter_hourly_qc
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| https://erddap.ifremer.fr/erddap/tabledap/drifter_6hour_qc.subset
| https://erddap.ifremer.fr/erddap/tabledap/drifter_6hour_qc
| https://erddap.ifremer.fr/erddap/tabledap/drifter_6hour_qc.graph
|
| https://erddap.ifremer.fr/erddap/files/drifter_6hour_qc/
| public
| Global Drifter Program - 6 Hour Interpolated QC Drifter Data
| Global Drifter Program 6-hourly drifting buoy collection. Quality control krigged (interpolation method) data. 6-Hour Drifter data product exists from 1979 to present, well suited for observing larger-scale oceanic processes. NOAA-Atlantic Oceanographic & Meteorological Laboratory (AOML) data from a local source. The six-hourly QC dataset is updated on a quarterly basis, i.e. every 3 months, in delayed mode. Please reference the acknowledgment attribute to cite the dataset's DOI.\n\ncdm_data_type = Trajectory\nVARIABLES:\nID (Global Drifter Program Buoy ID)\nWMO (World Meteorological Organization buoy identification number)\nexpno (Experiment number, count)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlon360 (Longitude, degrees_east)\nsst (Sea Surface Bulk Temperature, degree_C)\nerr_sst (degree_C)\nve\nvn\nerr_lat\nerr_lon\ntypebuoy (Buoy type (see https://www.aoml.noaa.gov/phod/dac/dirall.html))\ndeploy_date (Deployment date and time, seconds since 1970-01-01T00:00:00Z)\ndeploy_lat (Deployment latitude, degrees_north)\ndeploy_lon (Deployment longitude, degrees_east)\nstart_date (First good date and time derived by DAC quality control, seconds since 1970-01-01T00:00:00Z)\nstart_lat (First good latitude derived by DAC quality control, degrees_north)\nstart_lon (First good longitude derived by DAC quality control, degrees_east)\nend_date (Last good date and time derived by DAC quality control, seconds since 1970-01-01T00:00:00Z)\nend_lat (Last good latitude derived by DAC quality control, degrees_north)\nend_lon (Last good longitude derived by DAC quality control, degrees_east)\n... (23 more variables)\n
| https://erddap.ifremer.fr/erddap/metadata/fgdc/xml/drifter_6hour_qc_fgdc.xml
| https://erddap.ifremer.fr/erddap/metadata/iso19115/xml/drifter_6hour_qc_iso19115.xml
| https://erddap.ifremer.fr/erddap/info/drifter_6hour_qc/index.htmlTable
| https://www.aoml.noaa.gov/phod/dac/dirall.html
| https://erddap.ifremer.fr/erddap/rss/drifter_6hour_qc.rss
| https://erddap.ifremer.fr/erddap/subscriptions/add.html?datasetID=drifter_6hour_qc&showErrors=false&email=
| NOAA Atlantic Oceanographic and Meteorological Laboratory
| drifter_6hour_qc
|
https://erddap.ifremer.fr/erddap/griddap/SDC_BAL_CLIM_TS_V1_m
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|
| https://erddap.ifremer.fr/erddap/griddap/SDC_BAL_CLIM_TS_V1_m.graph
| https://erddap.ifremer.fr/erddap/wms/SDC_BAL_CLIM_TS_V1_m/request
|
| public
| SDC_BalticSea_Climatology_TS_V1_monthly
| The SDC_BAL_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Baltic Sea including the seasonal and monthly fields for period 1955-2014 and seasonal fields for 6 decades starting from 1955 to 2014. The climatic fields were computed from the integrated Baltic Sea dataset that combines data extracted from the 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nITS_90_water_temperature (sea water temperature, degree_C)\nITS_90_water_temperature_L1 (sea water temperature masked using relative error threshold 0.3, degree_C)\nITS_90_water_temperature_L2 (sea water temperature masked using relative error threshold 0.5, degree_C)\nITS_90_water_temperature_relerr (Relative error of sea water temperature, 1)\nWater_body_salinity (sea water salinity, PSU)\nWater_body_salinity_L1 (sea water salinity masked using relative error threshold 0.3, PSU)\nWater_body_salinity_L2 (sea water salinity masked using relative error threshold 0.5, PSU)\nWater_body_salinity_relerr (Relative error of sea water salinity, 1)\n
| https://erddap.ifremer.fr/erddap/metadata/fgdc/xml/SDC_BAL_CLIM_TS_V1_m_fgdc.xml
| https://erddap.ifremer.fr/erddap/metadata/iso19115/xml/SDC_BAL_CLIM_TS_V1_m_iso19115.xml
| https://erddap.ifremer.fr/erddap/info/SDC_BAL_CLIM_TS_V1_m/index.htmlTable
| ???
| https://erddap.ifremer.fr/erddap/rss/SDC_BAL_CLIM_TS_V1_m.rss
| https://erddap.ifremer.fr/erddap/subscriptions/add.html?datasetID=SDC_BAL_CLIM_TS_V1_m&showErrors=false&email=
| SeaDataNet
| SDC_BAL_CLIM_TS_V1_m
|
https://erddap.ifremer.fr/erddap/griddap/SDC_BAL_CLIM_TS_V1_s
|
|
| https://erddap.ifremer.fr/erddap/griddap/SDC_BAL_CLIM_TS_V1_s.graph
| https://erddap.ifremer.fr/erddap/wms/SDC_BAL_CLIM_TS_V1_s/request
|
| public
| SDC_BalticSea_Climatology_TS_V1_seasonal
| The SDC_BAL_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Baltic Sea including the seasonal and monthly fields for period 1955-2014 and seasonal fields for 6 decades starting from 1955 to 2014. The climatic fields were computed from the integrated Baltic Sea dataset that combines data extracted from the 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nITS_90_water_temperature (sea water temperature, degree_C)\nITS_90_water_temperature_L1 (sea water temperature masked using relative error threshold 0.3, degree_C)\nITS_90_water_temperature_L2 (sea water temperature masked using relative error threshold 0.5, degree_C)\nITS_90_water_temperature_relerr (Relative error of sea water temperature, 1)\nWater_body_salinity (sea water salinity, PSU)\nWater_body_salinity_L1 (sea water salinity masked using relative error threshold 0.3, PSU)\nWater_body_salinity_L2 (sea water salinity masked using relative error threshold 0.5, PSU)\nWater_body_salinity_relerr (Relative error of sea water salinity, 1)\n
| https://erddap.ifremer.fr/erddap/metadata/fgdc/xml/SDC_BAL_CLIM_TS_V1_s_fgdc.xml
| https://erddap.ifremer.fr/erddap/metadata/iso19115/xml/SDC_BAL_CLIM_TS_V1_s_iso19115.xml
| https://erddap.ifremer.fr/erddap/info/SDC_BAL_CLIM_TS_V1_s/index.htmlTable
| https://doi.org/10.13155/57039
| https://erddap.ifremer.fr/erddap/rss/SDC_BAL_CLIM_TS_V1_s.rss
| https://erddap.ifremer.fr/erddap/subscriptions/add.html?datasetID=SDC_BAL_CLIM_TS_V1_s&showErrors=false&email=
| SeaDataNet
| SDC_BAL_CLIM_TS_V1_s
|
https://erddap.ifremer.fr/erddap/griddap/SDC_BAL_CLIM_TS_V2_m
|
|
| https://erddap.ifremer.fr/erddap/griddap/SDC_BAL_CLIM_TS_V2_m.graph
| https://erddap.ifremer.fr/erddap/wms/SDC_BAL_CLIM_TS_V2_m/request
|
| public
| SDC_BalticSea_Climatology_TS_V2_monthly
| The SDC_BAL_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for Baltic Sea including the seasonal and monthly fields for period 1955-2014 and seasonal fields for 6 decades starting from 1955 to 2014. The climatic fields were computed from the integrated Baltic Sea dataset that combines data extracted from the 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nITS_90_water_temperature (sea water temperature, 1e-3)\nITS_90_water_temperature_L1 (sea water temperature masked using relative error threshold 0.3, 1e-3)\nITS_90_water_temperature_L2 (sea water temperature masked using relative error threshold 0.5, 1e-3)\nITS_90_water_temperature_relerr (Relative error of sea water temperature, 1)\nWater_body_salinity (sea water salinity, PSU)\nWater_body_salinity_L1 (sea water salinity masked using relative error threshold 0.3, PSU)\nWater_body_salinity_L2 (sea water salinity masked using relative error threshold 0.5, PSU)\nWater_body_salinity_relerr (Relative error of sea water salinity, 1)\n
| https://erddap.ifremer.fr/erddap/metadata/fgdc/xml/SDC_BAL_CLIM_TS_V2_m_fgdc.xml
| https://erddap.ifremer.fr/erddap/metadata/iso19115/xml/SDC_BAL_CLIM_TS_V2_m_iso19115.xml
| https://erddap.ifremer.fr/erddap/info/SDC_BAL_CLIM_TS_V2_m/index.htmlTable
| http://dx.doix.org/10.12770/110c8c5a-6655-4a39-a4bd-f0f80f849eeb
| https://erddap.ifremer.fr/erddap/rss/SDC_BAL_CLIM_TS_V2_m.rss
| https://erddap.ifremer.fr/erddap/subscriptions/add.html?datasetID=SDC_BAL_CLIM_TS_V2_m&showErrors=false&email=
| SeaDataNet
| SDC_BAL_CLIM_TS_V2_m
|
https://erddap.ifremer.fr/erddap/griddap/SDC_BAL_CLIM_TS_V2_s
|
|
| https://erddap.ifremer.fr/erddap/griddap/SDC_BAL_CLIM_TS_V2_s.graph
| https://erddap.ifremer.fr/erddap/wms/SDC_BAL_CLIM_TS_V2_s/request
|
| public
| SDC_BalticSea_Climatology_TS_V2_seasonal
| The SDC_BAL_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for Baltic Sea including the seasonal and monthly fields for period 1955-2014 and seasonal fields for 6 decades starting from 1955 to 2014. The climatic fields were computed from the integrated Baltic Sea dataset that combines data extracted from the 3 major sources: 1) SeaDataNet infrastructure, 2) World Ocean Database 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][depth][latitude][longitude]):\nITS_90_water_temperature (sea water temperature, 1e-3)\nITS_90_water_temperature_L1 (sea water temperature masked using relative error threshold 0.3, 1e-3)\nITS_90_water_temperature_L2 (sea water temperature masked using relative error threshold 0.5, 1e-3)\nITS_90_water_temperature_relerr (Relative error of sea water temperature, 1)\nWater_body_salinity (sea water salinity, PSU)\nWater_body_salinity_L1 (sea water salinity masked using relative error threshold 0.3, PSU)\nWater_body_salinity_L2 (sea water salinity masked using relative error threshold 0.5, PSU)\nWater_body_salinity_relerr (Relative error of sea water salinity, 1)\n
| https://erddap.ifremer.fr/erddap/metadata/fgdc/xml/SDC_BAL_CLIM_TS_V2_s_fgdc.xml
| https://erddap.ifremer.fr/erddap/metadata/iso19115/xml/SDC_BAL_CLIM_TS_V2_s_iso19115.xml
| https://erddap.ifremer.fr/erddap/info/SDC_BAL_CLIM_TS_V2_s/index.htmlTable
| http://dx.doix.org/10.12770/110c8c5a-6655-4a39-a4bd-f0f80f849eeb
| https://erddap.ifremer.fr/erddap/rss/SDC_BAL_CLIM_TS_V2_s.rss
| https://erddap.ifremer.fr/erddap/subscriptions/add.html?datasetID=SDC_BAL_CLIM_TS_V2_s&showErrors=false&email=
| SeaDataNet
| SDC_BAL_CLIM_TS_V2_s
|