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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://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_bottle.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_bottle https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_bottle.graph https://data.pmel.noaa.gov/generic/erddap/files/cchdo_bottle/ CCHDO GO SHIP bottle data CCHDO GO SHIP bottle data from netcdf\n\ncdm_data_type = Profile\nVARIABLES:\nprofile_id (Unique Profile ID)\nexpocode\nsection_id\nline_id\nstation\ncast\nsample\nbottle_number\nbottle_number_qc (Status Flag)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Sea Floor Depth Below Sea Surface, m)\npressure (Sea Water Pressure, dbar)\nctd_temperature_unk (Sea Water Temperature, degree_C)\nctd_temperature_68 (Sea Water Temperature, degree_C)\nctd_temperature (Sea Water Temperature, degree_C)\nctd_temperature_qc (Status Flag)\nctd_salinity (Sea Water Practical Salinity, 1)\nctd_salinity_qc (Status Flag)\nbottle_salinity (Sea Water Practical Salinity, 1)\nbottle_salinity_qc (Status Flag)\nctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\nctd_oxygen_ml_l_qc (Status Flag)\nctd_oxygen (Moles Of Oxygen Per Unit Mass In Sea Water, µmole/kg)\nctd_oxygen_umol_l (Mole Concentration Of Dissolved Molecular Oxygen In Sea Water)\noxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\n... (183 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/cchdo_bottle_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/cchdo_bottle_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/cchdo_bottle/index.htmlTable https://cchdo.ucsd.edu/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/cchdo_bottle.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=cchdo_bottle&showErrors=false&email= CCHDO cchdo_bottle
https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_ctd.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_ctd https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_ctd.graph https://data.pmel.noaa.gov/generic/erddap/files/cchdo_ctd/ CCHDO GO SHIP ctd data CCHDO GO SHIP ctd data from netcdf files\n\ncdm_data_type = Profile\nVARIABLES:\nexpocode\nstation\ncast\nsample\ntime (seconds since 1970-01-01T00:00:00Z)\nprofile_id (Unique Profile ID)\nlatitude (degrees_north)\nlongitude (degrees_east)\npressure (Sea Water Pressure, dbar)\nctd_pressure_raw (Sea Water Pressure)\nctd_pressure_raw_qc (Status Flag)\nctd_temperature_unk (Sea Water Temperature, degree_C)\nctd_temperature_unk_qc (Status Flag)\nctd_temperature_68 (Sea Water Temperature, degree_C)\nctd_temperature (Sea Water Temperature, degree_C)\nctd_salinity (Sea Water Practical Salinity, 1)\nctd_salinity_qc (Status Flag)\nctd_absolute_salinity (Sea Water Absolute Salinity)\nctd_absolute_salinity_qc (Status Flag)\nctd_conservative_temperature (Sea Water Conservative Temperature, degree_C)\nctd_conservative_temperature_qc (Status Flag)\nctd_sound_velocity_salinity\nctd_sound_velocity_salinity_qc (Status Flag)\nctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\nctd_oxygen (Moles Of Oxygen Per Unit Mass In Sea Water, µmole/kg)\nctd_oxygen_umol_l (Mole Concentration Of Dissolved Molecular Oxygen In Sea Water)\nctd_oxygen_umol_l_qc (Status Flag)\n... (49 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/cchdo_ctd_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/cchdo_ctd_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/cchdo_ctd/index.htmlTable https://cchdo.ucsd.edu/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/cchdo_ctd.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=cchdo_ctd&showErrors=false&email= CCHDO cchdo_ctd
https://data.pmel.noaa.gov/generic/erddap/tabledap/ctd_0e4d_0f30_7196.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/ctd_0e4d_0f30_7196 https://data.pmel.noaa.gov/generic/erddap/tabledap/ctd_0e4d_0f30_7196.graph Data from a local source. Data from a local source.\n\ncdm_data_type = Profile\nVARIABLES:\nprofile_id (Unique Profile ID)\nexpocode\nstation\ncast\nsample\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\npressure (Sea Water Pressure, dbar)\nctd_temperature_unk (Sea Water Temperature, degree_C)\nctd_temperature_unk_qc (Status Flag)\nctd_temperature_68 (Sea Water Temperature, degree_C)\nctd_temperature_68_qc (Status Flag)\nctd_temperature (Sea Water Temperature, degree_C)\nctd_temperature_qc (Status Flag)\nctd_salinity (Sea Water Practical Salinity, 1)\nctd_salinity_qc (Status Flag)\nctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\nctd_oxygen_ml_l_qc (Status Flag)\nctd_oxygen (Moles Of Oxygen Per Unit Mass In Sea Water, µmole/kg)\nctd_oxygen_qc (Status Flag)\nctd_oxygen_umol_l (Mole Concentration Of Dissolved Molecular Oxygen In Sea Water)\nctd_oxygen_umol_l_qc (Status Flag)\nctd_fluor (Mass Concentration Of Chlorophyll In Sea Water)\nctd_fluor_qc (Status Flag)\nctd_fluor_arbitrary\nctd_fluor_arbitrary_qc (Status Flag)\n... (31 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/ctd_0e4d_0f30_7196_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/ctd_0e4d_0f30_7196_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/ctd_0e4d_0f30_7196/index.htmlTable ??? https://data.pmel.noaa.gov/generic/erddap/rss/ctd_0e4d_0f30_7196.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=ctd_0e4d_0f30_7196&showErrors=false&email= ??? ctd_0e4d_0f30_7196
https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990 https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990.graph International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Arctic Subset from 1990 - 1999 This file contains ICOADS R3.0.0 data in netCDF4 format collected from 1999-12-01T00:00:00Z to 1999-12-31T23:58:47Z. The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) offers surface marine data spanning the past three centuries, and simple gridded monthly summary products for 2-degree latitude x 2-degree longitude boxes back to 1800 (and 1degreex1degree boxes since 1960)--these data and products are freely distributed worldwide. As it contains observations from many different observing systems encompassing the evolution of measurement technology over hundreds of years, ICOADS is probably the most complete and heterogeneous collection of surface marine data in existence.\n\ncdm_data_type = Point\nVARIABLES:\nrow\ntime (seconds since 1970-01-01T00:00:00Z)\ndate (date in YYYYMMDD)\ncrs\nHR (Hour)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTI (Time Indicator)\nLI (Latitude Longitude Indicator)\nDS (Ship's Course)\nVS (Ship's Speed)\nNID\nII (Identification Indicator)\nID (Identification)\nC1 (Country Code)\nDI (Wind Direction Indicator)\nD (Wind Direction, degrees)\nWI (Wind Speed Indicator)\nW (Wind Speed  , m/s)\nVI (Visibility Indicator)\n... (185 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/icoads_arctic_subset_1990_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/icoads_arctic_subset_1990_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/icoads_arctic_subset_1990/index.htmlTable http://rda.ucar.edu/datasets/ds548.0/docs/R3.0-citation.pdf (external link) https://data.pmel.noaa.gov/generic/erddap/rss/icoads_arctic_subset_1990.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=icoads_arctic_subset_1990&showErrors=false&email= NCEI, NOAA icoads_arctic_subset_1990
https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly.graph OceanSITES KEO in-situ data: Hourly High Resolution Data (KEO OceanSITES long timeseries data) OceanSITES KEO in-situ data: Hourly High Resolution Data. KEO long timeseries sub-surface data\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nprofile_id\nwmo_platform_code\nsite_code\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (Depth of each measurement, m)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nPRES_DM (method of data processing)\nPSAL_DM (method of data processing)\nTEMP_DM (method of data processing)\nPRES (water pressure, observed and calculated, decibar)\nPRES_QC (quality flag)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nTEMP (temperature, degree_Celsius)\nTEMP_QC (quality flag)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/keo_hourly_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/keo_hourly_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/keo_hourly/index.htmlTable https://www.pmel.noaa.gov/ocs/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/keo_hourly.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=keo_hourly&showErrors=false&email= NOAA/PMEL/OCS keo_hourly
https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly_temp.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly_temp https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly_temp.graph OceanSITES KEO in-situ data: Hourly High Resolution Data (KEO OceanSITES long timeseries data) OceanSITES KEO in-situ data: Hourly High Resolution Data. KEO long timeseries sub-surface data\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nprofile_id\nwmo_platform_code\nsite_code\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (Depth of each measurement, m)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nPRES_DM (method of data processing)\nPSAL_DM (method of data processing)\nTEMP_DM (method of data processing)\nPRES (water pressure, observed and calculated, decibar)\nPRES_QC (quality flag)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nTEMP (temperature, degree_Celsius)\nTEMP_QC (quality flag)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/keo_hourly_temp_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/keo_hourly_temp_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/keo_hourly_temp/index.htmlTable https://www.pmel.noaa.gov/ocs/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/keo_hourly_temp.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=keo_hourly_temp&showErrors=false&email= NOAA/PMEL/OCS keo_hourly_temp
https://data.pmel.noaa.gov/generic/erddap/tabledap/papa_hourly_psal.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/papa_hourly_psal https://data.pmel.noaa.gov/generic/erddap/tabledap/papa_hourly_psal.graph OceanSITES Papa hourly PSAL in-situ data (OceanSITES Papa daily in-situ data) OceanSITES Papa daily in-situ data. This file contains hourly real-time and delayed-mode in-situ data from station Papa at 50N,145W in the North Pacific. This taut-line mooring has been instrumented with upper ocean and surface sensors since June 2007. Included in this file are sea temperatures from the surface to 300 meters depth, salinity and density (sigma-theta) from the surface to 200m depth, sea currents at 5m, 34m, and 35m depth, acoustic doppler profiles of zonal and meridional ocean current to from 28 to 160 meters depth, and a variety of surface observations for net air-sea fluxes of heat, moisture, and momentum including winds, solar and longwave radiation, rain, air temperature, relative humidity, and barometric pressure. Variables observed at rates other than 1 hour can be found in separate high resolution files.\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nprofile_id\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\ndepth (Depth of each measurement, m)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nPSAL_DM (method of data processing)\nwmo_platform_code\nsite_code (mooring site code)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/papa_hourly_psal_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/papa_hourly_psal_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/papa_hourly_psal/index.htmlTable https://www.pmel.noaa.gov/ocs (external link) https://data.pmel.noaa.gov/generic/erddap/rss/papa_hourly_psal.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=papa_hourly_psal&showErrors=false&email= NOAA/PMEL/OCS papa_hourly_psal
https://data.pmel.noaa.gov/generic/erddap/tabledap/papa_hourly_temp.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/papa_hourly_temp https://data.pmel.noaa.gov/generic/erddap/tabledap/papa_hourly_temp.graph https://data.pmel.noaa.gov/generic/erddap/files/papa_hourly_temp/ OceanSITES Papa hourly TEMP in-situ data This file contains hourly real-time and delayed-mode in-situ data from station Papa at 50N,145W in the North Pacific. This taut-line mooring has been instrumented with upper ocean and surface sensors since June 2007. Included in this file are sea temperatures from the surface to 300 meters depth, salinity and density (sigma-theta) from the surface to 200m depth, sea currents at 5m, 34m, and 35m depth, acoustic doppler profiles of zonal and meridional ocean current to from 28 to 160 meters depth, and a variety of surface observations for net air-sea fluxes of heat, moisture, and momentum including winds, solar and longwave radiation, rain, air temperature, relative humidity, and barometric pressure. Variables observed at rates other than 1 hour can be found in separate high resolution files.\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nwmo_platform_code\nsite_code (mooring site code)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\ndepth (Depth of each measurement, m)\nprofile_id\nTEMP (temperature, degree_Celsius)\nTEMP_QC (quality flag)\nTEMP_DM (method of data processing)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/papa_hourly_temp_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/papa_hourly_temp_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/papa_hourly_temp/index.htmlTable https://www.pmel.noaa.gov/ocs/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/papa_hourly_temp.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=papa_hourly_temp&showErrors=false&email= NOAA/PMEL papa_hourly_temp
https://data.pmel.noaa.gov/generic/erddap/tabledap/pirata_hourly_psal.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pirata_hourly_psal https://data.pmel.noaa.gov/generic/erddap/tabledap/pirata_hourly_psal.graph OceanSITES PIRATA hourly PSAL in-situ data OceanSITES hourly in-situ dat. OceanSITES Pilot Research Moored Array in the Tropical Atlantic (PIRATA) hourly PSAL in-situ data\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nwmo_platform_code\nsite_code (mooring site code)\nprofile_id\ndepth (Depth of each measurement, m)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nPSAL_DM (method of data processing)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pirata_hourly_psal_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pirata_hourly_psal_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pirata_hourly_psal/index.htmlTable https://www.pmel.noaa.gov/ocs/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pirata_hourly_psal.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pirata_hourly_psal&showErrors=false&email= NOAA/PMEL/OCS pirata_hourly_psal
https://data.pmel.noaa.gov/generic/erddap/tabledap/pirata_hourly_temp.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pirata_hourly_temp https://data.pmel.noaa.gov/generic/erddap/tabledap/pirata_hourly_temp.graph https://data.pmel.noaa.gov/generic/erddap/files/pirata_hourly_temp/ OceanSITES PIRATA hourly TEMP in-situ data This file contains hourly real-time and delayed-mode in-situ data from one of the Tropical Atmosphere/Ocean (TAO)/TRITON, Pilot Research Moored Array in the Tropical Atlantic (PIRATA), or Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) mooring sites in the tropical oceans. Included in this file are sea temperatures from the surface to 500 meters at most sites and deeper at others, salinity and potential density (sigma-theta) at the sea surface and deeper at some sites, sea currents at 10m depth and deeper at some sites, a variety of surface observations including winds, air temperature, relative humidity, shortwave solar radiation, longwave radiation, rain rate and, barometric pressure.\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nwmo_platform_code\nsite_code (mooring site code)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nprofile_id\ndepth (Depth of each measurement, m)\nTEMP (temperature, degree_Celsius)\nTEMP_QC (quality flag)\nTEMP_DM (method of data processing)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pirata_hourly_temp_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pirata_hourly_temp_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pirata_hourly_temp/index.htmlTable https://www.pmel.noaa.gov/gtmba/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pirata_hourly_temp.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pirata_hourly_temp&showErrors=false&email= NOAA/PMEL pirata_hourly_temp
https://data.pmel.noaa.gov/generic/erddap/tabledap/rama_hourly_psal.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/rama_hourly_psal https://data.pmel.noaa.gov/generic/erddap/tabledap/rama_hourly_psal.graph OceanSITES RAMA hourly PSAL in-situ data OceanSITES hourly in-situ dat. Number of Observations for OceanSITES Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) hourly PSAL in-situ data\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nwmo_platform_code\nsite_code (mooring site code)\nprofile_id\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\ndepth (Depth of each measurement, m)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nPSAL_DM (method of data processing)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/rama_hourly_psal_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/rama_hourly_psal_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/rama_hourly_psal/index.htmlTable https://www.pmel.noaa.gov/ocs/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/rama_hourly_psal.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=rama_hourly_psal&showErrors=false&email= NOAA/PMEL/OCS rama_hourly_psal
https://data.pmel.noaa.gov/generic/erddap/tabledap/rama_hourly_temp.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/rama_hourly_temp https://data.pmel.noaa.gov/generic/erddap/tabledap/rama_hourly_temp.graph https://data.pmel.noaa.gov/generic/erddap/files/rama_hourly_temp/ OceanSITES RAMA hourly TEMP in-situ data This file contains hourly real-time and delayed-mode in-situ data from one of the Tropical Atmosphere/Ocean (TAO)/TRITON, Pilot Research Moored Array in the Tropical Atlantic (PIRATA), or Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) mooring sites in the tropical oceans. Included in this file are sea temperatures from the surface to 500 meters at most sites and deeper at others, salinity and potential density (sigma-theta) at the sea surface and deeper at some sites, sea currents at 10m depth and deeper at some sites, a variety of surface observations including winds, air temperature, relative humidity, shortwave solar radiation, rain rate and, barometric pressure.\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nwmo_platform_code\nsite_code (mooring site code)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nprofile_id\ndepth (Depth of each measurement, m)\nTEMP (temperature, degree_Celsius)\nTEMP_QC (quality flag)\nTEMP_DM (method of data processing)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/rama_hourly_temp_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/rama_hourly_temp_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/rama_hourly_temp/index.htmlTable https://www.pmel.noaa.gov/gtmba/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/rama_hourly_temp.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=rama_hourly_temp&showErrors=false&email= NOAA/PMEL rama_hourly_temp
https://data.pmel.noaa.gov/generic/erddap/tabledap/NTAS_flux.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/NTAS_flux https://data.pmel.noaa.gov/generic/erddap/tabledap/NTAS_flux.graph https://data.pmel.noaa.gov/generic/erddap/files/NTAS_flux/ OceanSITES Surface fluxes calculated with Coare 3.0 algorithm from data from surface mooring NTAS Surface fluxes calculated from data from the Woods Hole Oceanographic Institution (WHOI)-UOP Ocean Reference Station deployed at the NTAS site deployments 12  13  14  15  16 by Albert Plueddemann\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\nsite_code\ntime (seconds since 1970-01-01T00:00:00Z)\nDeployment\nlatitude (surveyed anchor latitude of each deployment, degrees_north)\nlongitude (Mean anchor longitude, degrees_east)\nQB (sensible heat flux, W/m2)\nQH (latent heat flux, W/m2)\nQN (net heat flux, W/m2)\nQL (net longwave, W/m2)\nQS (net shortwave, W/m2)\nTAUDIR (wind stress direction, degree N)\nTAUMAG (wind stress magnitude, N/m^2)\nTSKIN (SST adjusted to skin, degree)\nWS_H (wind speed adjusted to 10m, m/s)\nQQ_H (specific humidity adjusted to 2m, g/kg)\nTA_H (air temperature adjusted to 2m, degree_C)\nTAUE (east wind stress, N/m^2)\nTAUN (north wind stress, N/m^2)\nSTABILITY (stability parameter, 1)\ndeployment_year\nwater_depth\nwatch_circle_nM (Watch Circle N M)\nmagnetic_correction_applied\nWND_measurementHeight (m)\nATMP_measurementHeight (height of ATMP sensor, m)\n... (4 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/NTAS_flux_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/NTAS_flux_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/NTAS_flux/index.htmlTable http://uop.whoi.edu/projects/ntas (external link) https://data.pmel.noaa.gov/generic/erddap/rss/NTAS_flux.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=NTAS_flux&showErrors=false&email= WHOI NTAS_flux
https://data.pmel.noaa.gov/generic/erddap/tabledap/Stratus_flux.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/Stratus_flux https://data.pmel.noaa.gov/generic/erddap/tabledap/Stratus_flux.graph https://data.pmel.noaa.gov/generic/erddap/files/Stratus_flux/ OceanSITES Surface fluxes calculated with Coare 3.0 algorithm from data from surface mooring Stratus Surface fluxes calculated from data from the Woods Hole Oceanographic Institution (WHOI)-UOP Ocean Reference Station deployed at the Stratus site deployments 11  12  13  14  15  16 by Robert Weller\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\nsite_code\ntime (seconds since 1970-01-01T00:00:00Z)\nDeployment\nlatitude (Nominal site latitude, degrees_north)\nlongitude (Nominal site longitude, degrees_east)\nDEP_LAT (surveyed anchor latitude of each deployment, degrees_north)\nDEP_LON (Mean anchor longitude, degrees_east)\nQB (sensible heat flux, W/m2)\nQH (latent heat flux, W/m2)\nQN (net heat flux, W/m2)\nQL (net longwave, W/m2)\nQS (net shortwave, W/m2)\nTAUDIR (wind stress direction, degree N)\nTAUMAG (wind stress magnitude, N/m^2)\nTSKIN (SST adjusted to skin, degree)\nWS_H (wind speed adjusted to 10m, m/s)\nQQ_H (specific humidity adjusted to 2m, g/kg)\nTA_H (air temperature adjusted to 2m, degree_C)\nTAUE (east wind stress, N/m^2)\nTAUN (north wind stress, N/m^2)\nSTABILITY (stability parameter, 1)\ndeployment_year\nwater_depth\nwatch_circle_nM (Watch Circle N M)\nmagnetic_correction_applied\n... (6 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/Stratus_flux_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/Stratus_flux_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/Stratus_flux/index.htmlTable http://uop.whoi.edu/projects/stratus (external link) https://data.pmel.noaa.gov/generic/erddap/rss/Stratus_flux.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=Stratus_flux&showErrors=false&email= WHOI Stratus_flux
https://data.pmel.noaa.gov/generic/erddap/tabledap/WHOTS_flux.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/WHOTS_flux https://data.pmel.noaa.gov/generic/erddap/tabledap/WHOTS_flux.graph https://data.pmel.noaa.gov/generic/erddap/files/WHOTS_flux/ OceanSITES Surface fluxes calculated with Coare 3.0 algorithm from data from surface mooring WHOTS Surface fluxes calculated from data from the Woods Hole Oceanographic Institution (WHOI)-UOP Ocean Reference Station deployed at the WHOTS site deployments 1   2   3   4   5   6   7   8   9  10  11  12  13  14 by Albert Plueddemann, Robert Weller\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\nsite_code\ntime (seconds since 1970-01-01T00:00:00Z)\nDeployment\nlatitude (Nominal site latitude, degrees_north)\nlongitude (Nominal site longitude, degrees_east)\nDEP_LAT (surveyed anchor latitude of each deployment, degrees_north)\nDEP_LON (Mean anchor longitude, degrees_east)\nQB (sensible heat flux, W/m2)\nQH (latent heat flux, W/m2)\nQN (net heat flux, W/m2)\nQL (net longwave, W/m2)\nQS (net shortwave, W/m2)\nTAUDIR (wind stress direction, degree N)\nTAUMAG (wind stress magnitude, N/m^2)\nTSKIN (SST adjusted to skin, degree)\nWS_H (wind speed adjusted to 10m, m/s)\nQQ_H (specific humidity adjusted to 2m, g/kg)\nTA_H (air temperature adjusted to 2m, degree_C)\nTAUE (east wind stress, N/m^2)\nTAUN (north wind stress, N/m^2)\nSTABILITY (stability parameter, 1)\ndeployment_year\nwater_depth\nwatch_circle_nM (Watch Circle N M)\n... (7 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/WHOTS_flux_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/WHOTS_flux_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/WHOTS_flux/index.htmlTable http://uop.whoi.edu/projects/whots (external link) https://data.pmel.noaa.gov/generic/erddap/rss/WHOTS_flux.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=WHOTS_flux&showErrors=false&email= WHOI WHOTS_flux
https://data.pmel.noaa.gov/generic/erddap/tabledap/NTAS_met.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/NTAS_met https://data.pmel.noaa.gov/generic/erddap/tabledap/NTAS_met.graph https://data.pmel.noaa.gov/generic/erddap/files/NTAS_met/ OceanSITES Surface meteorology from the Northwest Tropical Atlantic Station surface mooring (NTAS) Surface meteorological data from the Woods Hole Oceanographic Institution (WHOI)-UOP Ocean Reference Station deployed at the NTAS site deployments 12  13  14  15  16 by Albert Plueddemann\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\ntime (seconds since 1970-01-01T00:00:00Z)\nDeployment\nlatitude (surveyed anchor latitude of each deployment, degrees_north)\nlongitude (Mean anchor longitude, degrees_east)\ndepth (m)\nDEPTH_VEL (Depth, meters)\nHEIGHT_RHAT (height of RELH and AIRT sensor, m)\nHEIGHT_WND (height of wind sensor, m)\nHEIGHT_APPROX (approximate met sensor height where unknown, m)\nwater_depth (water depth at mooring site, meters)\nwatch_circle (watch circle per deployment, nautical miles)\nmagnetic_correction (magnetic_correction applied to winds and currents, per deployment, degree)\nAIRT (air temperature, degree_C)\nRELH (relative humidity, percent)\nATMS (barometric pressure, millibars)\nLW (surface downwelling longwave radiation, W m-2)\nSW (shortwave radiation, W m-2)\nRAIN (precipitation rate, mm/hour)\nUWND (Wind Velocity East, meters/second)\nVWND (wind velocity north, meters/second)\nTEMP (sea temperature, degree_C)\nPSAL (sea water practical salinity, .001)\nCNDC (conductivity, S m-1)\nUCUR (Eastward Sea Water Velocity, S m-1)\nVCUR (Northward Sea Water Velocity, S m-1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/NTAS_met_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/NTAS_met_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/NTAS_met/index.htmlTable http://uop.whoi.edu/projects/ntas (external link) https://data.pmel.noaa.gov/generic/erddap/rss/NTAS_met.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=NTAS_met&showErrors=false&email= WHOI NTAS_met
https://data.pmel.noaa.gov/generic/erddap/tabledap/Stratus_met https://data.pmel.noaa.gov/generic/erddap/tabledap/Stratus_met.graph https://data.pmel.noaa.gov/generic/erddap/files/Stratus_met/ OceanSITES Surface meteorology from the Stratus Ocean Reference Station surface mooring Surface meteorological data from the Woods Hole Oceanographic Institution (WHOI)-UOP Ocean Reference Station deployed at the Stratus site deployments 11  12  13  14  15  16 by Robert Weller\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\ntime (seconds since 1970-01-01T00:00:00Z)\nDeployment\nlatitude (Nominal site latitude, degrees_north)\nlongitude (Nominal site longitude, degrees_east)\nDEP_LAT (surveyed anchor latitude of each deployment, degrees_north)\nDEP_LON (Mean anchor longitude, degrees_east)\ndepth (m)\nDEPTH_VEL (Depth, meters)\nHEIGHT_RHAT (height of RELH and AIRT sensor, m)\nHEIGHT_WND (height of wind sensor, m)\nHEIGHT_APPROX (approximate met sensor height where unknown, m)\nwater_depth (water depth at mooring site, meters)\nwatch_circle (watch circle per deployment, nautical miles)\nmagnetic_correction (magnetic_correction applied to winds and currents, per deployment, degree)\nAIRT (air temperature, degree_C)\nRELH (relative humidity, percent)\nATMS (barometric pressure, millibars)\nLW (surface downwelling longwave radiation, W m-2)\nSW (shortwave radiation, W m-2)\nRAIN (precipitation rate, mm/hour)\nUWND (Wind Velocity East, meters/second)\nVWND (wind velocity north, meters/second)\nTEMP (sea temperature, degree_C)\nPSAL (sea water practical salinity, .001)\nCNDC (conductivity, S m-1)\nUCUR (Eastward Sea Water Velocity, S m-1)\nVCUR (Northward Sea Water Velocity, S m-1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/Stratus_met_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/Stratus_met_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/Stratus_met/index.htmlTable http://uop.whoi.edu/projects/stratus (external link) https://data.pmel.noaa.gov/generic/erddap/rss/Stratus_met.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=Stratus_met&showErrors=false&email= WHOI Stratus_met
https://data.pmel.noaa.gov/generic/erddap/tabledap/WHOTS_met.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/WHOTS_met https://data.pmel.noaa.gov/generic/erddap/tabledap/WHOTS_met.graph https://data.pmel.noaa.gov/generic/erddap/files/WHOTS_met/ OceanSITES Surface meteorology from the WHOI, Hawaii Ocean Time-series Station surface mooring (WHOTS) Surface meteorology from the Woods Hole Oceanographic Institution (WHOI) - Hawaii Ocean Time-series Station surface mooring (WHOTS) deployments 1 2 3 4 5 6 7 8 9 10 11 12 13 14. Surface meteorological data from the WHOI-UOP Ocean Reference Station deployed at the WHOTS site deployments 1   2   3   4   5   6   7   8   9  10  11  12  13  14 by Albert Plueddemann, Robert Weller\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\ntime (seconds since 1970-01-01T00:00:00Z)\nDeployment\nlatitude (Nominal site latitude, degrees_north)\nlongitude (Nominal site longitude, degrees_east)\nDEP_LAT (surveyed anchor latitude of each deployment, degrees_north)\nDEP_LON (Mean anchor longitude, degrees_east)\ndepth (m)\nDEPTH_VEL (Depth, meters)\nHEIGHT_RHAT (height of RELH and AIRT sensor, m)\nHEIGHT_WND (height of wind sensor, m)\nHEIGHT_APPROX (approximate met sensor height where unknown, m)\nwater_depth (water depth at mooring site, meters)\nwatch_circle (watch circle per deployment, nautical miles)\nmagnetic_correction (magnetic_correction applied to winds and currents, per deployment, degree)\nAIRT (air temperature, degree_C)\nRELH (relative humidity, percent)\nATMS (barometric pressure, millibars)\nLW (surface downwelling longwave radiation, W m-2)\nSW (shortwave radiation, W m-2)\nRAIN (precipitation rate, mm/hour)\nUWND (Wind Velocity East, meters/second)\nVWND (wind velocity north, meters/second)\n... (5 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/WHOTS_met_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/WHOTS_met_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/WHOTS_met/index.htmlTable http://uop.whoi.edu/projects/whots (external link) https://data.pmel.noaa.gov/generic/erddap/rss/WHOTS_met.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=WHOTS_met&showErrors=false&email= WHOI WHOTS_met
https://data.pmel.noaa.gov/generic/erddap/tabledap/oceansites_pacific_temp_10m.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/oceansites_pacific_temp_10m https://data.pmel.noaa.gov/generic/erddap/tabledap/oceansites_pacific_temp_10m.graph https://data.pmel.noaa.gov/generic/erddap/files/oceansites_pacific_temp_10m/ OceanSITES TAO 10-Minute High Resolution TEMP Data Delayed/Mixed mode data from National Data Buoy Center (NDBC) Tropical Atmosphere Ocean (TAO) Array\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\nsite_code (mooring site code)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (Nominal depth of each measurement, m)\nTEMP (Sea Water Temperature, degree_Celsius)\nTEMP_QC (quality flag)\nTEMP_DM (data mode)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/oceansites_pacific_temp_10m_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/oceansites_pacific_temp_10m_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/oceansites_pacific_temp_10m/index.htmlTable http://tao.noaa.gov (external link) https://data.pmel.noaa.gov/generic/erddap/rss/oceansites_pacific_temp_10m.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=oceansites_pacific_temp_10m&showErrors=false&email= NDBC, U.S. oceansites_pacific_temp_10m
https://data.pmel.noaa.gov/generic/erddap/tabledap/triton_hourly_temp.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/triton_hourly_temp https://data.pmel.noaa.gov/generic/erddap/tabledap/triton_hourly_temp.graph https://data.pmel.noaa.gov/generic/erddap/files/triton_hourly_temp/ OceanSITES Triton hourly TEMP in-situ data This file contains hourly real-time and delayed-mode in-situ data from one of the TRITON mooring sites in the tropical oceans. This file originated at NOAA/Pacific Marine Environmental Laboratory (PMEL), but the data come from JAMSTEC. Included in this file are sea temperatures from the surface to 750 meters, salinity, density (sigma-t and sigma-theta), and electrical conductivity from the surface to 750 meters, sea currents at 10m depth, and a variety of surface observations including winds, air temperature, relative humidity, shortwave solar radiation, and barometric pressure. Buoy positions are also included as time series of latitude and longitude. Note that sigma-theta is computed from TRITON hourly temperatures and salinity at NOAA/PMEL. After 2007, the sites at 1.5S,90E and 5S,95E, no longer deployed TRITON buoys but instead use mTRITON (mini TRITON). 8S,95E has only had mTRITON deployments. mTRITON buoys have temperatures to 500 meters, and salinity, density, and conductivity to 60 meters. Differences in the height of meteorlogical instruments for TRITON versus mTRITON which are 1 meter or less have been ignored, and TRITON heights used at all times. At 8S,95E only mTRITON heights are used. Similarly, the depth of the Sea Surface Temperature (SST) sensor is 1.5 meters for TRITON but 1 meter for mTRITON. SST depth is set to 1.5m at all times in files for 1.5S,90E and 5S,95E, but 1m at 8S,95E.\n\ncdm_data_type = TimeSeries\nVARIABLES:\nwmo_platform_code\nsite_code (mooring site code)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\ndepth (Depth of each measurement, m)\nTEMP (temperature, degree_Celsius)\nTEMP_QC (quality flag)\nTEMP_DM (method of data processing)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/triton_hourly_temp_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/triton_hourly_temp_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/triton_hourly_temp/index.htmlTable https://www.pmel.noaa.gov/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/triton_hourly_temp.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=triton_hourly_temp&showErrors=false&email= JAMSTEC and NOAA/PMEL triton_hourly_temp
https://data.pmel.noaa.gov/generic/erddap/tabledap/integrated_temperature_nc.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/integrated_temperature_nc https://data.pmel.noaa.gov/generic/erddap/tabledap/integrated_temperature_nc.graph OSMC Upper Ocean Temperature from the Pacific Observing System Monitoring Center (OSMC) integrated upper ocean Temp. OSMC Upper Ocean Temperature from the Pacific\n\ncdm_data_type = Point\nVARIABLES:\nPLATFORM_NUMBER\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTEMP (Temperature)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/integrated_temperature_nc_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/integrated_temperature_nc_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/integrated_temperature_nc/index.htmlTable ??? https://data.pmel.noaa.gov/generic/erddap/rss/integrated_temperature_nc.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=integrated_temperature_nc&showErrors=false&email= OSMC integrated_temperature_nc
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_arctic_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_arctic_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_arctic_2021.graph Saildrone 2021 Arctic OCS Single Beam NRT Surface Data, drone 1030 Four Gen6 Saildrone Explorer USVs were launched from Dutch Harbor in August 2021. These USVs were equipped with DT800 single beam sonars. Two of the USVs were equipped with Gen1 ASVCO2 sensors and two were equipped with Gen2 ASVCO2 sensors. The objectives of this mission include mapping contours within the Arctic for uncharted or minimally charted parts of the sea, and performing intercomparisons between the Gen1 and Gen2 ASVCO2 systems in the Arctic environment.\n\ncdm_data_type = Trajectory\nVARIABLES:\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1030_arctic_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1030_arctic_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1030_arctic_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1030_arctic_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1030_arctic_2021&showErrors=false&email= Saildrone sd1030_arctic_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_arctic_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_arctic_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_arctic_2021.graph Saildrone 2021 Arctic OCS Single Beam NRT Surface Data, drone 1033 Four Gen6 Saildrone Explorer USVs were launched from Dutch Harbor in August 2021. These USVs were equipped with DT800 single beam sonars. Two of the USVs were equipped with Gen1 ASVCO2 sensors and two were equipped with Gen2 ASVCO2 sensors. The objectives of this mission include mapping contours within the Arctic for uncharted or minimally charted parts of the sea, and performing intercomparisons between the Gen1 and Gen2 ASVCO2 systems in the Arctic environment.\n\ncdm_data_type = Trajectory\nVARIABLES:\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1033_arctic_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1033_arctic_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1033_arctic_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1033_arctic_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1033_arctic_2021&showErrors=false&email= Saildrone sd1033_arctic_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_arctic_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_arctic_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_arctic_2021.graph Saildrone 2021 Arctic OCS Single Beam NRT Surface Data, drone 1034 Four Gen6 Saildrone Explorer USVs were launched from Dutch Harbor in August 2021. These USVs were equipped with DT800 single beam sonars. Two of the USVs were equipped with Gen1 ASVCO2 sensors and two were equipped with Gen2 ASVCO2 sensors. The objectives of this mission include mapping contours within the Arctic for uncharted or minimally charted parts of the sea, and performing intercomparisons between the Gen1 and Gen2 ASVCO2 systems in the Arctic environment.\n\ncdm_data_type = Trajectory\nVARIABLES:\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1034_arctic_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1034_arctic_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1034_arctic_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1034_arctic_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1034_arctic_2021&showErrors=false&email= Saildrone sd1034_arctic_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_arctic_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_arctic_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_arctic_2021.graph Saildrone 2021 Arctic OCS Single Beam NRT Surface Data, drone 1067 Four Gen6 Saildrone Explorer USVs were launched from Dutch Harbor in August 2021. These USVs were equipped with DT800 single beam sonars. Two of the USVs were equipped with Gen1 ASVCO2 sensors and two were equipped with Gen2 ASVCO2 sensors. The objectives of this mission include mapping contours within the Arctic for uncharted or minimally charted parts of the sea, and performing intercomparisons between the Gen1 and Gen2 ASVCO2 systems in the Arctic environment.\n\ncdm_data_type = Trajectory\nVARIABLES:\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1067_arctic_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1067_arctic_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1067_arctic_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1067_arctic_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1067_arctic_2021&showErrors=false&email= Saildrone sd1067_arctic_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021.graph Saildrone 2021 TPOS PMEL NRT Surface Data, drone 1065 Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2021. These USVs were equipped with ADCPs, and other metocean sensors and sailed south to the equator to perform inter-comparisons with the Tropical Atmosphere/Ocean (TAO) moorings.\n\ncdm_data_type = Trajectory\nVARIABLES:\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_tpos_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_tpos_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1065_tpos_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_tpos_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_tpos_2021&showErrors=false&email= Saildrone sd1065_tpos_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022.graph Saildrone 2022 SWFSC Survey NRT, drone 1076 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1076_swfsc_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1076_swfsc_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1076_swfsc_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1076_swfsc_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1076_swfsc_2022&showErrors=false&email= Saildrone sd1076_swfsc_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022.graph Saildrone 2022 SWFSC Survey NRT, drone 1077 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1077_swfsc_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1077_swfsc_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1077_swfsc_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1077_swfsc_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1077_swfsc_2022&showErrors=false&email= Saildrone sd1077_swfsc_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts.graph Saildrone 2022 TPOS PMEL NRT Surface Data, drone 1033 The primary goal of this study will be to collect research quality air-sea interaction observations in the eastern tropical Pacific that could help satellite validation, model development, model and satellite measurement validation, or be used to constrain models. The second goal of the study is to develop adaptive sampling techniques that could be used as part of the TPOS backbone.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1033_tpos_2022_gts_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1033_tpos_2022_gts_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1033_tpos_2022_gts/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1033_tpos_2022_gts.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2022_gts&showErrors=false&email= Saildrone sd1033_tpos_2022_gts
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1052_tpos_2022_gts.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1052_tpos_2022_gts https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1052_tpos_2022_gts.graph Saildrone 2022 TPOS PMEL NRT Surface Data. drone 1052 Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2022. These USVs were equipped with ADCPs, and other metocean sensors and sailed south to the equator to perform inter-comparisons with the Tropical Atmosphere/Ocean (TAO) moorings.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1052_tpos_2022_gts_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1052_tpos_2022_gts_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1052_tpos_2022_gts/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1052_tpos_2022_gts.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1052_tpos_2022_gts&showErrors=false&email= NOAA PMEL sd1052_tpos_2022_gts
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023.graph Saildrone 2023 NOAA SWFSC NRT Data, drone 1048 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1048_swfsc_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1048_swfsc_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1048_swfsc_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1048_swfsc_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1048_swfsc_2023&showErrors=false&email= Saildrone sd1048_swfsc_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023.graph Saildrone 2023 NOAA SWFSC NRT Data, drone 1060 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1060_swfsc_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1060_swfsc_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1060_swfsc_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1060_swfsc_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1060_swfsc_2023&showErrors=false&email= Saildrone sd1060_swfsc_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023.graph Saildrone 2023 NOAA SWFSC NRT Data, drone 1096 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1096_swfsc_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1096_swfsc_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1096_swfsc_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1096_swfsc_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1096_swfsc_2023&showErrors=false&email= Saildrone sd1096_swfsc_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_tpos_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_tpos_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_tpos_2023.graph Saildrone 2023 TPOS PMEL Surface Data, drone 1030 1. Test the use of USV in the tropical Pacific ~155W. 2. Formalize new collaborative partnership for potential fisheries applications focusing on the biomass echosounder data from a transect along 155W. 3. Develop more adaptive sampling techniques that could be incorporated into TPOS.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1030_tpos_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1030_tpos_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1030_tpos_2023/index.htmlTable http://pmel.noaa.gov (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1030_tpos_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1030_tpos_2023&showErrors=false&email= NOAA/PMEL sd1030_tpos_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2023.graph Saildrone 2023 TPOS PMEL Surface Data, drone 1033 1. Test the use of USV in the tropical Pacific ~155W. 2. Formalize new collaborative partnership for potential fisheries applications focusing on the biomass echosounder data from a transect along 155W. 3. Develop more adaptive sampling techniques that could be incorporated into TPOS.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1033_tpos_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1033_tpos_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1033_tpos_2023/index.htmlTable http://pmel.noaa.gov (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1033_tpos_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2023&showErrors=false&email= NOAA/PMEL sd1033_tpos_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1079_tpos_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1079_tpos_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1079_tpos_2023.graph Saildrone 2023 TPOS PMEL Surface Data, drone 1079 1. Test the use of USV in the tropical Pacific ~155W. 2. Formalize new collaborative partnership for potential fisheries applications focusing on the biomass echosounder data from a transect along 155W. 3. Develop more adaptive sampling techniques that could be incorporated into TPOS.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1079_tpos_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1079_tpos_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1079_tpos_2023/index.htmlTable http://pmel.noaa.gov (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1079_tpos_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1079_tpos_2023&showErrors=false&email= NOAA/PMEL sd1079_tpos_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1030_lagoon.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1030_lagoon https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1030_lagoon.graph Saildrone Arctic 2021 OCS Single Beam NRT ASVCO2 Sea Trial drone 1030 lagoon_testing. Saildrone data from a local source.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\n... (78 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd_1030_lagoon_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd_1030_lagoon_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd_1030_lagoon/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd_1030_lagoon.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd_1030_lagoon&showErrors=false&email= Saildrone sd_1030_lagoon
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1067_lagoon.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1067_lagoon https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1067_lagoon.graph Saildrone Arctic 2021 OCS Single Beam NRT ASVCO2 Sea Trial drone 1067 lagoon_testing. Saildrone data from a local source.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\n... (78 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd_1067_lagoon_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd_1067_lagoon_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd_1067_lagoon/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd_1067_lagoon.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd_1067_lagoon&showErrors=false&email= Saildrone sd_1067_lagoon
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1031 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1031_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1031_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1031_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1031_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2022&showErrors=false&email= Saildrone sd1031_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1032_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1032_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1032_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1032 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1032_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1032_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1032_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1032_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1032_hurricane_2022&showErrors=false&email= Saildrone sd1032_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1040 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1040_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1040_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1040_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1040_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2022&showErrors=false&email= Saildrone sd1040_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1059 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1059_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1059_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1059_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1059_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1059_hurricane_2022&showErrors=false&email= Saildrone sd1059_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1078_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1078_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1078_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1078 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN\nWIND_SPEED_MEAN\nTEMP_AIR_MEAN (degree_C)\nRH_MEAN\nBARO_PRES_MEAN\nWAVE_DOMINANT_PERIOD\nWAVE_SIGNIFICANT_HEIGHT\nTEMP_SBE37_MEAN (degree_C)\nSAL_SBE37_MEAN\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1078_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1078_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1078_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1078_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1078_hurricane_2022&showErrors=false&email= Saildrone sd1078_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1083 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 4 USVs during the 2021 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1083_hurricane_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1083_hurricane_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1083_hurricane_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1083_hurricane_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1083_hurricane_2022&showErrors=false&email= Saildrone sd1083_hurricane_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1031 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1031_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1031_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1031_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1031_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2023&showErrors=false&email= Saildrone sd1031_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1036_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1036_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1036_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1036 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1036_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1036_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1036_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1036_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1036_hurricane_2023&showErrors=false&email= Saildrone sd1036_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1040 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1040_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1040_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1040_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1040_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2023&showErrors=false&email= Saildrone sd1040_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1041_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1041_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1041_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1041 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1041_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1041_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1041_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1041_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1041_hurricane_2023&showErrors=false&email= Saildrone sd1041_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1045 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1045_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1045_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1045_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1045_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1045_hurricane_2023&showErrors=false&email= Saildrone sd1045_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1057_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1057_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1057_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1057 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1057_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1057_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1057_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1057_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1057_hurricane_2023&showErrors=false&email= Saildrone sd1057_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1064 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1064_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1064_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1064_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1064_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1064_hurricane_2023&showErrors=false&email= Saildrone sd1064_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1065 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1065_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_hurricane_2023&showErrors=false&email= Saildrone sd1065_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1068_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1068_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1068_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1068 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1068_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1068_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1068_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1068_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1068_hurricane_2023&showErrors=false&email= Saildrone sd1068_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1069_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1069_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1069_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1069 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1069_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1069_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1069_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1069_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1069_hurricane_2023&showErrors=false&email= Saildrone sd1069_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2023.graph Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1083 Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1083_hurricane_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1083_hurricane_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1083_hurricane_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1083_hurricane_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1083_hurricane_2023&showErrors=false&email= Saildrone sd1083_hurricane_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_shakedown_collection.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_shakedown_collection https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_shakedown_collection.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial all drones Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd_shakedown_collection_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd_shakedown_collection_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd_shakedown_collection/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd_shakedown_collection.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd_shakedown_collection&showErrors=false&email= Saildrone sd_shakedown_collection
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1089 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1089_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1089_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1089_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1089_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1089_shakedown&showErrors=false&email= Saildrone sd1089_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1090 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1090_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1090_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1090_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1090_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1090_shakedown&showErrors=false&email= Saildrone sd1090_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1091 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1091_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1091_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1091_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1091_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1091_shakedown&showErrors=false&email= Saildrone sd1091_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1092 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1092_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1092_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1092_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1092_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1092_shakedown&showErrors=false&email= Saildrone sd1092_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_ecmwf_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_ecmwf_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1034_ecmwf_2021.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022, drone 1034 Three Gen6 Saildrone Explorer USVs were launched from Newport, Rhode Island in December 2021. The five objectives of this mission  include collecting atmospheric and oceanographic data from the Gulf Stream during winter months for inclusion in European Centre for Medium-Range Weather Forecasts (ECMWF)'s weather forecasting pipeline, and to collect dissolved CO2 measurements from Gen2 ASVCO2 systems to understand carbon flux in the area. If pCO2 is calculated, the TEMP_DEPTH_HALFMETER sensor should be used as the primary sea surface temperature when calculating pCO2. Due to damage in a storm, SD-1034 was an additional USV launched in the beginning of May 2022 from North Carolina.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1034_ecmwf_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1034_ecmwf_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1034_ecmwf_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1034_ecmwf_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1034_ecmwf_2021&showErrors=false&email= Saildrone sd1034_ecmwf_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_ecmwf_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_ecmwf_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_ecmwf_2021.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022, drone 1089 Three Gen6 Saildrone Explorer USVs were launched from Newport, Rhode Island in December 2021. The five objectives of this mission  include collecting atmospheric and oceanographic data from the Gulf Stream during winter months for inclusion in European Centre for Medium-Range Weather Forecasts (ECMWF)'s weather forecasting pipeline, and to collect dissolved CO2 measurements from Gen2 ASVCO2 systems to understand carbon flux in the area. If pCO2 is calculated, the TEMP_DEPTH_HALFMETER sensor should be used as the primary sea surface temperature when calculating pCO2.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1089_ecmwf_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1089_ecmwf_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1089_ecmwf_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1089_ecmwf_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1089_ecmwf_2021&showErrors=false&email= Saildrone sd1089_ecmwf_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_ecmwf_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_ecmwf_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_ecmwf_2021.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022, drone 1090 Three Gen6 Saildrone Explorer USVs were launched from Newport, Rhode Island in December 2021. The five objectives of this mission  include collecting atmospheric and oceanographic data from the Gulf Stream during winter months for inclusion in European Centre for Medium-Range Weather Forecasts (ECMWF)'s weather forecasting pipeline, and to collect dissolved CO2 measurements from Gen2 ASVCO2 systems to understand carbon flux in the area.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1090_ecmwf_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1090_ecmwf_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1090_ecmwf_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1090_ecmwf_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1090_ecmwf_2021&showErrors=false&email= Saildrone sd1090_ecmwf_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_ecmwf_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_ecmwf_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_ecmwf_2021.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022, drone 1091 Three Gen6 Saildrone Explorer USVs were launched from Newport, Rhode Island in December 2021. The five objectives of this mission  include collecting atmospheric and oceanographic data from the Gulf Stream during winter months for inclusion in European Centre for Medium-Range Weather Forecasts (ECMWF)'s weather forecasting pipeline, and to collect dissolved CO2 measurements from Gen2 ASVCO2 systems to understand carbon flux in the area.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1091_ecmwf_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1091_ecmwf_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1091_ecmwf_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1091_ecmwf_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1091_ecmwf_2021&showErrors=false&email= Saildrone sd1091_ecmwf_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_ecmwf_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_ecmwf_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_ecmwf_2021.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022, drone 1092 Three Gen6 Saildrone Explorer USVs were launched from Newport, Rhode Island in December 2021. The five objectives of this mission  include collecting atmospheric and oceanographic data from the Gulf Stream during winter months for inclusion in European Centre for Medium-Range Weather Forecasts (ECMWF)'s weather forecasting pipeline, and to collect dissolved CO2 measurements from Gen2 ASVCO2 systems to understand carbon flux in the area.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1092_ecmwf_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1092_ecmwf_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1092_ecmwf_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1092_ecmwf_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1092_ecmwf_2021&showErrors=false&email= Saildrone sd1092_ecmwf_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sea_trial_NRT.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sea_trial_NRT https://data.pmel.noaa.gov/generic/erddap/tabledap/sea_trial_NRT.graph Saildrone Sea Trial NRT Data Measure METOC and CO2 data in and around in the entire Hawaiian Island chain of all 8 islands.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nproject (Project Name)\nXCO2_DRY_SW_MEAN_ASVCO2 (xCO2 Dry Seawater Mean ASVCO2, micromol mol-1)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nO2_CONC_SBE37_MEAN (Oxygen concentration, micromol L-1)\nCHLOR_WETLABS_MEAN (Chlorophyll concentration, microgram L-1)\nPH_SW (pH of Seawater (total scale))\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sea_trial_NRT_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sea_trial_NRT_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sea_trial_NRT/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sea_trial_NRT.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sea_trial_NRT&showErrors=false&email= Saildrone sea_trial_NRT
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_sochic_test.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_sochic_test https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_sochic_test.graph Saildrone SOCHIC NRT ASVCO2  Validation drone 1067 In shop testing of gen2 OCS CO2 systems\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\n... (74 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1067_sochic_test_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1067_sochic_test_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1067_sochic_test/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1067_sochic_test.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1067_sochic_test&showErrors=false&email= Saildrone sd1067_sochic_test
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyAirt.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyAirt https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyAirt.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1977-present, Air Temperature This dataset has daily Air Temperature data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nAT_21 (Air Temperature, degree_C)\nQAT_5021 (Air Temperature Quality)\nSAT_6021 (Air Temperature Source)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDyAirt_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDyAirt_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDyAirt/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDyAirt.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDyAirt&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDyAirt
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDySst.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDySst https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDySst.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1977-present, Sea Surface Temperature This dataset has daily Sea Surface Temperature (SST) data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nT_25 (Sea Surface Temperature, degree_C)\nQT_5025 (Sea Surface Temperature Quality)\nST_6025 (Sea Surface Temperature Source)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDySst_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDySst_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDySst/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDySst.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDySst&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDySst
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyT.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyT https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyT.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1977-present, Temperature This dataset has daily Temperature data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nT_20 (Sea Water Temperature, degree_C)\nQT_5020 (Temperature Quality)\nST_6020 (Temperature Source)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDyT_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDyT_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDyT/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDyT.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDyT&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDyT
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyW.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyW https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyW.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1977-present, Wind This dataset has daily Wind data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nWU_422 (Zonal Wind, m s-1)\nWV_423 (Meridional Wind, m s-1)\nWS_401 (Wind Speed, m s-1)\nQWS_5401 (Wind Speed Quality)\nSWS_6401 (Wind Speed Source)\nWD_410 (Wind Direction, degrees_true)\nQWD_5410 (Wind Direction Quality)\nSWD_6410 (Wind Direction Source)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDyW_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDyW_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDyW/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDyW.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDyW&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDyW
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyS.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyS https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyS.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1987-present, Salinity This dataset has daily Salinity data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nS_41 (Sea Water Practical Salinity, PSU)\nQS_5041 (Salinity Quality)\nSS_6041 (Salinity Source)\nSIC_8041 (Salinity Instrument Code)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDyS_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDyS_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDyS/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDyS.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDyS&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDyS
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyAdcp.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyAdcp https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyAdcp.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1988-2020, ADCP This dataset has daily Acoustic Doppler Current Profiler (ADCP) water currents data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  ADCP data are available only after mooring recoveries, which are scheduled on an annual basis.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nu_1205 (Eastward Sea Water Velocity, cm/s)\nQU_5205 (Eastward Sea Water Velocity Quality)\nv_1206 (Northward Sea Water Velocity, cm/s)\nQV_5206 (Northward Sea Water Velocity Quality)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDyAdcp_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDyAdcp_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDyAdcp/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDyAdcp.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDyAdcp&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDyAdcp
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyTau.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyTau https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyTau.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1989-present, Wind Stress This dataset has daily Wind Stress data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nTX_442 (Zonal Wind Stress, N/m2)\nTY_443 (Meridional Wind Stress, N/m2)\nTAU_440 (Wind Stress, N/m2)\nTD_445 (Wind Stress Direction, degrees_true)\nQTAU_5440 (Wind Stress Quality)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDyTau_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDyTau_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDyTau/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDyTau.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDyTau&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDyTau
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDySss.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDySss https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDySss.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1992-present, Sea Surface Salinity This dataset has daily Sea Surface Salinity data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nS_41 (Sea Water Practical Salinity, PSU)\nQS_5041 (Salinity Quality)\nSS_6041 (Salinity Source)\nSIC_7041 (Salinity Instrument Code)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDySss_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDySss_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDySss/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDySss.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDySss&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDySss
https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyRain.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyRain https://data.pmel.noaa.gov/generic/erddap/tabledap/pmelTaoDyRain.graph TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1997-present, Precipitation This dataset has daily Precipitation data from the\nTAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ),\nRAMA (Indian Ocean, https://www.pmel.noaa.gov/gtmba/pmel-theme/indian-ocean-rama ), and\nPIRATA (Atlantic Ocean, https://www.pmel.noaa.gov/gtmba/pirata/ )\narrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system.  These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems.  Daily averages are computed starting at 00:00Z and are assigned an observation 'time' of 12:00Z.  For more information, see\nhttps://www.pmel.noaa.gov/gtmba/mission .\n\ncdm_data_type = TimeSeries\nVARIABLES:\narray\nstation\nwmo_platform_code\nlongitude (Nominal Longitude, degrees_east)\nlatitude (Nominal Latitude, degrees_north)\ntime (Centered Time, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nRN_485 (Precipitation, MM/HR)\nQRN_5485 (Precipitation Quality)\nSRN_6485 (Precipitation Source)\nRNS_486 (Precipitation Standard Deviation, MM/HR)\nRNP_487 (Percent Time Raining, percent)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/pmelTaoDyRain_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/pmelTaoDyRain_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/pmelTaoDyRain/index.htmlTable https://www.pmel.noaa.gov/gtmba/mission (external link) https://data.pmel.noaa.gov/generic/erddap/rss/pmelTaoDyRain.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=pmelTaoDyRain&showErrors=false&email= NOAA PMEL, TAO/TRITON, RAMA, PIRATA pmelTaoDyRain
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_hawaii_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_hawaii_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_hawaii_2023.graph University of Hawaii Ocean Chemistry 2023 NRT Data, drone 1089 Measure METOC and CO2 data in and around in the entire Hawaiian Island chain of all 8 islands.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1089_hawaii_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1089_hawaii_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1089_hawaii_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1089_hawaii_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1089_hawaii_2023&showErrors=false&email= Saildrone sd1089_hawaii_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_hawaii_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_hawaii_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_hawaii_2023.graph University of Hawaii Ocean Chemistry 2023 NRT Data, drone 1090 Measure METOC and CO2 data in and around in the entire Hawaiian Island chain of all 8 islands.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1090_hawaii_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1090_hawaii_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1090_hawaii_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1090_hawaii_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1090_hawaii_2023&showErrors=false&email= Saildrone sd1090_hawaii_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_hawaii_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_hawaii_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_hawaii_2023.graph University of Hawaii Ocean Chemistry 2023 NRT Data, drone 1091 Measure METOC and CO2 data in and around in the entire Hawaiian Island chain of all 8 islands.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1091_hawaii_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1091_hawaii_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1091_hawaii_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1091_hawaii_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1091_hawaii_2023&showErrors=false&email= Saildrone sd1091_hawaii_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test.graph WMO data distribution test, drone 1065 Testing data distribution of Saildrone dron 1065 data to support WIS 2.0 pilot project\n\ncdm_data_type = Trajectory\nVARIABLES:\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_wmo_test_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_wmo_test_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1065_wmo_test/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_wmo_test.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_wmo_test&showErrors=false&email= NOAA/PMEL sd1065_wmo_test

 
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