MARACOOS ERDDAP
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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-1_timeseries.subset https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-1_timeseries https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-1_timeseries.graph Atlantic Shores Offshore Wind, ASOW-1, Timeseries Data AtlanticShores. This dataset contains observations to support scientific research of the mid-Atlantic cold pool and to further understanding of metocean conditions off the coast of New Jersey.  Data is collected from a floating lidar buoy and the dataset includes measurements of sea temperature (surface and sea floor), current speed, current direction, wave, air temperature, atmospheric pressure, relative humidity, surface wind speed, surface wind direction, and wind speed and wind direction between 10m to 200m.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Atlantic Shores, ASOW-1)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\nair_pressure (mbar)\nair_temperature (degree_C)\nrelative_humidity (percent)\nsea_water_temperature_at_1m (degree_C)\nsea_water_temperature_at_2m (degree_C)\nsea_water_temperature_at_32m (degree_C)\nsea_water_salinity\nsea_water_pressure\nsea_surface_wave_significant_height (m)\nsea_surface_wave_mean_period (sec)\nsea_surface_wave_from_direction (degree)\nwind_speed_of_gust (m/s)\nair_temperature_qartod_gross_range_test (Gross Range Test Quality Flag)\nair_temperature_qartod_rate_of_change_test (Rate of Change Test Quality Flag)\nair_temperature_qartod_spike_test (Spike Test Quality Flag)\nair_temperature_qartod_flat_line_test (Flat Line Test Quality Flag)\nair_temperature_qartod_climatology_test (Climatology Test Quality Flag)\nair_temperature_qartod_aggregate (Aggregate Quality Flag)\n... (73 more variables)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/AtlanticShores_ASOW-1_timeseries_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/AtlanticShores_ASOW-1_timeseries_iso19115.xml https://erddap.maracoos.org/erddap/info/AtlanticShores_ASOW-1_timeseries/index.htmlTable https://www.atlanticshoreswind.com/ (external link) http://erddap.maracoos.org/erddap/rss/AtlanticShores_ASOW-1_timeseries.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=AtlanticShores_ASOW-1_timeseries&showErrors=false&email= Atlantic Shores Offshore Wind AtlanticShores_ASOW-1_timeseries
https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-2_timeseries.subset https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-2_timeseries https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-2_timeseries.graph Atlantic Shores Offshore Wind, ASOW-2, Timeseries Data AtlanticShores. This dataset contains observations to support scientific research of the mid-Atlantic cold pool and to further understanding of metocean conditions off the coast of New Jersey.  Data is collected from a floating lidar buoy and the dataset includes measurements of sea temperature (surface and sea floor), current speed, current direction, wave, air temperature, atmospheric pressure, relative humidity, surface wind speed, surface wind direction, and wind speed and wind direction between 10m to 200m.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Atlantic Shores, ASOW-2)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\nair_pressure (mbar)\nair_temperature (degree_C)\nrelative_humidity (percent)\nsea_water_temperature_at_1m (degree_C)\nsea_water_temperature_at_2m (degree_C)\nsea_water_temperature_at_32m (degree_C)\nsea_water_salinity\nsea_water_pressure\nsea_surface_wave_significant_height (m)\nsea_surface_wave_mean_period (sec)\nsea_surface_wave_from_direction (degree)\nwind_speed_of_gust (m/s)\nair_temperature_qartod_gross_range_test (Gross Range Test Quality Flag)\nair_temperature_qartod_rate_of_change_test (Rate of Change Test Quality Flag)\nair_temperature_qartod_spike_test (Spike Test Quality Flag)\nair_temperature_qartod_flat_line_test (Flat Line Test Quality Flag)\nair_temperature_qartod_climatology_test (Climatology Test Quality Flag)\nair_temperature_qartod_aggregate (Aggregate Quality Flag)\n... (60 more variables)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/AtlanticShores_ASOW-2_timeseries_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/AtlanticShores_ASOW-2_timeseries_iso19115.xml https://erddap.maracoos.org/erddap/info/AtlanticShores_ASOW-2_timeseries/index.htmlTable https://www.atlanticshoreswind.com/ (external link) http://erddap.maracoos.org/erddap/rss/AtlanticShores_ASOW-2_timeseries.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=AtlanticShores_ASOW-2_timeseries&showErrors=false&email= Atlantic Shores Offshore Wind AtlanticShores_ASOW-2_timeseries
https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-4_timeseries.subset https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-4_timeseries https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-4_timeseries.graph Atlantic Shores Offshore Wind, ASOW-4, Timeseries Data AtlanticShores. This dataset contains observations to support scientific research of the mid-Atlantic cold pool and to further understanding of metocean conditions off the coast of New Jersey.  Data is collected from a floating lidar buoy and the dataset includes measurements of sea temperature (surface and sea floor), current speed, current direction, wave, air temperature, atmospheric pressure, relative humidity, surface wind speed, surface wind direction, and wind speed and wind direction between 10m to 200m.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Atlantic Shores, ASOW-4)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\nair_pressure (mbar)\nair_temperature (degree_C)\nrelative_humidity (percent)\nsea_water_temperature_at_1m (degree_C)\nsea_water_temperature_at_2m (degree_C)\nsea_water_temperature_at_32m (degree_C)\nsea_water_salinity\nsea_water_pressure\nsea_surface_wave_significant_height (m)\nsea_surface_wave_mean_period (sec)\nsea_surface_wave_from_direction (degree)\nwind_speed_of_gust (m/s)\nair_temperature_qartod_gross_range_test (Gross Range Test Quality Flag)\nair_temperature_qartod_rate_of_change_test\nair_temperature_qartod_spike_test\nair_temperature_qartod_flat_line_test (Flat Line Test Quality Flag)\nair_temperature_qartod_climatology_test (Climatology Test Quality Flag)\nair_temperature_qartod_aggregate (Aggregate Quality Flag)\n... (60 more variables)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/AtlanticShores_ASOW-4_timeseries_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/AtlanticShores_ASOW-4_timeseries_iso19115.xml https://erddap.maracoos.org/erddap/info/AtlanticShores_ASOW-4_timeseries/index.htmlTable https://www.atlanticshoreswind.com/ (external link) http://erddap.maracoos.org/erddap/rss/AtlanticShores_ASOW-4_timeseries.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=AtlanticShores_ASOW-4_timeseries&showErrors=false&email= Atlantic Shores Offshore Wind AtlanticShores_ASOW-4_timeseries
https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-6_timeseries.subset https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-6_timeseries https://erddap.maracoos.org/erddap/tabledap/AtlanticShores_ASOW-6_timeseries.graph Atlantic Shores Offshore Wind, ASOW-6, Timeseries Data AtlanticShores. This dataset contains observations to support scientific research of the mid-Atlantic cold pool and to further understanding of metocean conditions off the coast of New Jersey.  Data is collected from a floating lidar buoy and the dataset includes measurements of sea temperature (surface and sea floor), current speed, current direction, wave, air temperature, atmospheric pressure, relative humidity, surface wind speed, surface wind direction, and wind speed and wind direction between 10m to 200m.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Atlantic Shores, ASOW-6)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\nair_pressure (mbar)\nair_temperature (degree_C)\nrelative_humidity (percent)\nsea_water_temperature_at_1m (degree_C)\nsea_water_temperature_at_2m (degree_C)\nsea_water_temperature_at_32m (degree_C)\nsea_water_salinity\nsea_water_pressure (dbar)\nsea_surface_wave_significant_height (m)\nsea_surface_wave_mean_period (sec)\nsea_surface_wave_from_direction (degree)\nwind_speed_of_gust (m/s)\nair_temperature_qartod_gross_range_test (Gross Range Test Quality Flag)\nair_temperature_qartod_rate_of_change_test\nair_temperature_qartod_spike_test\nair_temperature_qartod_flat_line_test (Flat Line Test Quality Flag)\nair_temperature_qartod_climatology_test (Climatology Test Quality Flag)\nair_temperature_qartod_aggregate (Aggregate Quality Flag)\n... (60 more variables)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/AtlanticShores_ASOW-6_timeseries_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/AtlanticShores_ASOW-6_timeseries_iso19115.xml https://erddap.maracoos.org/erddap/info/AtlanticShores_ASOW-6_timeseries/index.htmlTable https://www.atlanticshoreswind.com/ (external link) http://erddap.maracoos.org/erddap/rss/AtlanticShores_ASOW-6_timeseries.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=AtlanticShores_ASOW-6_timeseries&showErrors=false&email= Atlantic Shores Offshore Wind AtlanticShores_ASOW-6_timeseries
https://erddap.maracoos.org/erddap/tabledap/Beacon_Wind_Wave_Met_Buoy_1_36f0_579c_7497.subset https://erddap.maracoos.org/erddap/tabledap/Beacon_Wind_Wave_Met_Buoy_1_36f0_579c_7497 https://erddap.maracoos.org/erddap/tabledap/Beacon_Wind_Wave_Met_Buoy_1_36f0_579c_7497.graph Beacon Wind Met Buoy 1 (SW Corner) - Historical Data This dataset contains observations to support the development of the Beacon Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of Massachusetts. The Beacon Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at <a href=\"https://www.boem.gov/renewable-energy/state-activities/beacon-wind\"> Beacon Wind  | Bureau of Ocean Energy Management (boem.gov)</a>  Data is collected from one Floating LiDAR Buoy, two Wave/Met Buoys, and two Current Meter Moorings. The dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Platform Name)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\ndepth (depth of the sensor relative to sea surface, m)\nHs (m)\nHsQual\nTp (s)\nTpQual\nThetaM (degrees)\nThetaMQual\nThetaP (degrees)\nThetaPQual\nWindSpd1 (m s-1)\nWindSpd1Qual\nWindDirn1 (degrees)\nWindDirn1Qual\nAirTemp (degree_C)\nAirTempQual\nRH (percent)\nRHQual\nBP (hPa)\nBPQual\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/Beacon_Wind_Wave_Met_Buoy_1_36f0_579c_7497_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/Beacon_Wind_Wave_Met_Buoy_1_36f0_579c_7497_iso19115.xml https://erddap.maracoos.org/erddap/info/Beacon_Wind_Wave_Met_Buoy_1_36f0_579c_7497/index.htmlTable https://www.beaconwind.com/ (external link) http://erddap.maracoos.org/erddap/rss/Beacon_Wind_Wave_Met_Buoy_1_36f0_579c_7497.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=Beacon_Wind_Wave_Met_Buoy_1_36f0_579c_7497&showErrors=false&email= Equinor US Wind Beacon_Wind_Wave_Met_Buoy_1_36f0_579c_7497
https://erddap.maracoos.org/erddap/tabledap/Beacon_Met_Buoy_1_b410_b28d_4a91.subset https://erddap.maracoos.org/erddap/tabledap/Beacon_Met_Buoy_1_b410_b28d_4a91 https://erddap.maracoos.org/erddap/tabledap/Beacon_Met_Buoy_1_b410_b28d_4a91.graph Beacon Wind Met Buoy 1 (SW Corner) - Realtime Data Beacon Wind Met Buoy 1 (SW Corner) - Realtime Data. This dataset contains observations to support the development of the Beacon Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of Massachusetts. The Beacon Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at <a href=\"https://www.boem.gov/renewable-energy/state-activities/beacon-wind\"> Beacon Wind  | Bureau of Ocean Energy Management (boem.gov)</a>  Data is collected from one Floating LiDAR Buoy, two Wave/Met Buoys, and two Current Meter Moorings. The dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Platform Name)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\ndepth (depth of the sensor relative to sea surface, m)\nWindSpd (m s-1)\nWindDirn (degrees)\nAirTemp (degree_C)\nRH (percent)\nBP (hPa)\nHs (m)\nTp (s)\nThetaP (degrees)\nWindSpd_qartod_gross_range_test (Gross Range Test Quality Flag)\nWindSpd_qartod_flat_line_test (Flat Line Test Quality Flag)\nWindSpd_qartod_climatology_test (Climatology Test Quality Flag)\nWindSpd_qartod_aggregate (Aggregate Quality Flag)\nWindDirn_qartod_gross_range_test (Gross Range Test Quality Flag)\nWindDirn_qartod_flat_line_test (Flat Line Test Quality Flag)\n... (22 more variables)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/Beacon_Met_Buoy_1_b410_b28d_4a91_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/Beacon_Met_Buoy_1_b410_b28d_4a91_iso19115.xml https://erddap.maracoos.org/erddap/info/Beacon_Met_Buoy_1_b410_b28d_4a91/index.htmlTable https://www.beaconwind.com/ (external link) http://erddap.maracoos.org/erddap/rss/Beacon_Met_Buoy_1_b410_b28d_4a91.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=Beacon_Met_Buoy_1_b410_b28d_4a91&showErrors=false&email= Equinor US Wind Beacon_Met_Buoy_1_b410_b28d_4a91
https://erddap.maracoos.org/erddap/tabledap/Beacon_Wind_Wave_Met_Buoy_2_1938_e15c_78e6.subset https://erddap.maracoos.org/erddap/tabledap/Beacon_Wind_Wave_Met_Buoy_2_1938_e15c_78e6 https://erddap.maracoos.org/erddap/tabledap/Beacon_Wind_Wave_Met_Buoy_2_1938_e15c_78e6.graph Beacon Wind Met Buoy 2 (NE Corner) - Historical Data This dataset contains observations to support the development of the Beacon Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of Massachusetts. The Beacon Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at <a href=\"https://www.boem.gov/renewable-energy/state-activities/beacon-wind\"> Beacon Wind  | Bureau of Ocean Energy Management (boem.gov)</a>  Data is collected from one Floating LiDAR Buoy, two Wave/Met Buoys, and two Current Meter Moorings. The dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Platform Name)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\ndepth (depth of the sensor relative to sea surface, m)\nHs (m)\nHsQual\nTp (s)\nTpQual\nThetaM (degrees)\nThetaMQual\nThetaP (degrees)\nThetaPQual\nWindSpd1 (m s-1)\nWindSpd1Qual\nWindDirn1 (degrees)\nWindDirn1Qual\nAirTemp (degree_C)\nAirTempQual\nRH (percent)\nRHQual\nBP (hPa)\nBPQual\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/Beacon_Wind_Wave_Met_Buoy_2_1938_e15c_78e6_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/Beacon_Wind_Wave_Met_Buoy_2_1938_e15c_78e6_iso19115.xml https://erddap.maracoos.org/erddap/info/Beacon_Wind_Wave_Met_Buoy_2_1938_e15c_78e6/index.htmlTable https://www.beaconwind.com/ (external link) http://erddap.maracoos.org/erddap/rss/Beacon_Wind_Wave_Met_Buoy_2_1938_e15c_78e6.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=Beacon_Wind_Wave_Met_Buoy_2_1938_e15c_78e6&showErrors=false&email= Equinor US Wind Beacon_Wind_Wave_Met_Buoy_2_1938_e15c_78e6
https://erddap.maracoos.org/erddap/tabledap/Beacon_Met_Buoy_2_realtime.subset https://erddap.maracoos.org/erddap/tabledap/Beacon_Met_Buoy_2_realtime https://erddap.maracoos.org/erddap/tabledap/Beacon_Met_Buoy_2_realtime.graph Beacon Wind Met Buoy 2 (NE Corner) - Realtime Data Beacon Wind Met Buoy 1 (SW Corner) - Realtime Data. This dataset contains observations to support the development of the Beacon Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of Massachusetts. The Beacon Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at <a href=\"https://www.boem.gov/renewable-energy/state-activities/beacon-wind\"> Beacon Wind  | Bureau of Ocean Energy Management (boem.gov)</a>  Data is collected from one Floating LiDAR Buoy, two Wave/Met Buoys, and two Current Meter Moorings. The dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Platform Name)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\ndepth (depth of the sensor relative to sea surface, m)\nWindSpd\nWindDirn (degrees)\nAirTemp (degree_C)\nRH (percent)\nBP (hPa)\nHs (m)\nTp (s)\nThetaP (degrees)\nWindSpd_qartod_gross_range_test\nWindSpd_qartod_flat_line_test\nWindSpd_qartod_climatology_test\nWindSpd_qartod_aggregate\nWindDirn_qartod_gross_range_test (Gross Range Test Quality Flag)\nWindDirn_qartod_flat_line_test (Flat Line Test Quality Flag)\n... (22 more variables)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/Beacon_Met_Buoy_2_realtime_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/Beacon_Met_Buoy_2_realtime_iso19115.xml https://erddap.maracoos.org/erddap/info/Beacon_Met_Buoy_2_realtime/index.htmlTable https://www.beaconwind.com/ (external link) http://erddap.maracoos.org/erddap/rss/Beacon_Met_Buoy_2_realtime.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=Beacon_Met_Buoy_2_realtime&showErrors=false&email= Equinor US Wind Beacon_Met_Buoy_2_realtime
https://erddap.maracoos.org/erddap/tabledap/Empire_Met_Buoy_303d_3d8a_d3e9.subset https://erddap.maracoos.org/erddap/tabledap/Empire_Met_Buoy_303d_3d8a_d3e9 https://erddap.maracoos.org/erddap/tabledap/Empire_Met_Buoy_303d_3d8a_d3e9.graph Empire Wind Met Buoy -  Historical Data This dataset contains observations to support the development of the Empire Wind Offshore Wind Project and to further understanding of metocean conditions off the coast of New York. The Empire Wind Site Assessment Plan approved by the Bureau of Ocean Energy Management can be found at <a href=\"https://www.boem.gov/renewable-energy/state-activities/empire-wind\"> Empire Wind | Bureau of Ocean Energy Management (boem.gov)</a>. Data were collected from two Floating LiDAR Buoys, one Wave/Met Buoy, and one Current Meter Mooring. This public dataset includes measurements of sea temperature, current speed, current direction, waves, air temperature, atmospheric pressure, relative humidity, wind speed, and wind direction.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Platform Name)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\ndepth (depth of the sensor relative to sea surface, m)\nAirTemp (degree_C)\nAirTempQual\nBP (hPa)\nBPQual\nWindSpd3 (m s-1)\nWindSpd3Qual\nWindDirn3 (degrees)\nWindDirn3Qual\nRH (percent)\nRHQual\nHs (m)\nHsQual\nTp (s)\nTpQual\nThetaM (degrees)\nThetaMQual\nThetaP (degrees)\nThetaPQual\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/Empire_Met_Buoy_303d_3d8a_d3e9_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/Empire_Met_Buoy_303d_3d8a_d3e9_iso19115.xml https://erddap.maracoos.org/erddap/info/Empire_Met_Buoy_303d_3d8a_d3e9/index.htmlTable https://www.empirewind.com/ (external link) http://erddap.maracoos.org/erddap/rss/Empire_Met_Buoy_303d_3d8a_d3e9.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=Empire_Met_Buoy_303d_3d8a_d3e9&showErrors=false&email= Equinor US Wind Empire_Met_Buoy_303d_3d8a_d3e9
https://erddap.maracoos.org/erddap/tabledap/ooi_pioneer_41082.subset https://erddap.maracoos.org/erddap/tabledap/ooi_pioneer_41082 https://erddap.maracoos.org/erddap/tabledap/ooi_pioneer_41082.graph OOI Pioneer Arracy, Station 41082 41082. Data from a local source.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Platform Name)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\nair_pressure_at_sea_level (hPa)\nair_temperature (degree_Celsius)\nsea_surface_temperature (degree_Celsius)\nwind_from_direction (degrees_true)\nwind_speed (meters/second)\nwater_temperature (degree_Celsius)\nsea_surface_wave_peak_period (seconds)\nsea_surface_wave_significant_height (meters)\nsea_surface_wave_mean_period (Average Wave Period)\ndew_point_temperature\nwind_speed_of_gust (Wind Gust Speed)\nsea_surface_wave_from_direction (Mean Wave Direction)\nvisibility_in_air (Visibility)\nwater_level (Tide Water Level)\nsea_water_electrical_conductivity (Conductivity)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ooi_pioneer_41082_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ooi_pioneer_41082_iso19115.xml https://erddap.maracoos.org/erddap/info/ooi_pioneer_41082/index.htmlTable ??? http://erddap.maracoos.org/erddap/rss/ooi_pioneer_41082.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ooi_pioneer_41082&showErrors=false&email= ??? ooi_pioneer_41082
https://erddap.maracoos.org/erddap/tabledap/ooi_pioneer_41083.subset https://erddap.maracoos.org/erddap/tabledap/ooi_pioneer_41083 https://erddap.maracoos.org/erddap/tabledap/ooi_pioneer_41083.graph OOI Pioneer Arracy, Station 41083 41083. Data from a local source.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Platform Name)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\nair_pressure_at_sea_level (hPa)\nair_temperature (degree_Celsius)\nsea_surface_temperature (degree_Celsius)\nwind_from_direction (degrees_true)\nwind_speed (meters/second)\nwater_temperature (degree_Celsius)\nsea_surface_wave_peak_period (seconds)\nsea_surface_wave_significant_height (meters)\nsea_surface_wave_mean_period (Average Wave Period)\ndew_point_temperature\nwind_speed_of_gust (Wind Gust Speed)\nsea_surface_wave_from_direction (Mean Wave Direction)\nvisibility_in_air (Visibility)\nwater_level (Tide Water Level)\nsea_water_electrical_conductivity (Conductivity)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ooi_pioneer_41083_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ooi_pioneer_41083_iso19115.xml https://erddap.maracoos.org/erddap/info/ooi_pioneer_41083/index.htmlTable ??? http://erddap.maracoos.org/erddap/rss/ooi_pioneer_41083.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ooi_pioneer_41083&showErrors=false&email= ??? ooi_pioneer_41083
https://erddap.maracoos.org/erddap/tabledap/ooi_pioneer_44079.subset https://erddap.maracoos.org/erddap/tabledap/ooi_pioneer_44079 https://erddap.maracoos.org/erddap/tabledap/ooi_pioneer_44079.graph OOI Pioneer Arracy, Station 44079 44079. Data from a local source.\n\ncdm_data_type = TimeSeries\nVARIABLES:\ntime (time of observation, seconds since 1970-01-01T00:00:00Z)\nstation_name (Platform Name)\nlatitude (station latitude, degrees_north)\nlongitude (station longitude, degrees_east)\nair_pressure_at_sea_level (hPa)\nair_temperature (degree_Celsius)\nsea_surface_temperature (degree_Celsius)\nwind_from_direction (degrees_true)\nwind_speed (meters/second)\nwater_temperature (degree_Celsius)\nsea_surface_wave_peak_period (seconds)\nsea_surface_wave_significant_height (meters)\nsea_surface_wave_mean_period (Average Wave Period)\ndew_point_temperature\nwind_speed_of_gust (Wind Gust Speed)\nsea_surface_wave_from_direction (Mean Wave Direction)\nvisibility_in_air (Visibility)\nwater_level (Tide Water Level)\nsea_water_electrical_conductivity (Conductivity)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ooi_pioneer_44079_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ooi_pioneer_44079_iso19115.xml https://erddap.maracoos.org/erddap/info/ooi_pioneer_44079/index.htmlTable ??? http://erddap.maracoos.org/erddap/rss/ooi_pioneer_44079.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ooi_pioneer_44079&showErrors=false&email= ??? ooi_pioneer_44079
https://erddap.maracoos.org/erddap/tabledap/sd1031_hurricane_2022.subset https://erddap.maracoos.org/erddap/tabledap/sd1031_hurricane_2022 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1031_hurricane_2022_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1031_hurricane_2022_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1031_hurricane_2022/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1031_hurricane_2022.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2022&showErrors=false&email= Saildrone sd1031_hurricane_2022
https://erddap.maracoos.org/erddap/tabledap/sd1032_hurricane_2022.subset https://erddap.maracoos.org/erddap/tabledap/sd1032_hurricane_2022 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1032_hurricane_2022_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1032_hurricane_2022_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1032_hurricane_2022/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1032_hurricane_2022.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1032_hurricane_2022&showErrors=false&email= Saildrone sd1032_hurricane_2022
https://erddap.maracoos.org/erddap/tabledap/sd1040_hurricane_2022.subset https://erddap.maracoos.org/erddap/tabledap/sd1040_hurricane_2022 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1040_hurricane_2022_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1040_hurricane_2022_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1040_hurricane_2022/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1040_hurricane_2022.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2022&showErrors=false&email= Saildrone sd1040_hurricane_2022
https://erddap.maracoos.org/erddap/tabledap/sd1059_hurricane_2022.subset https://erddap.maracoos.org/erddap/tabledap/sd1059_hurricane_2022 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1059_hurricane_2022_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1059_hurricane_2022_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1059_hurricane_2022/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1059_hurricane_2022.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1059_hurricane_2022&showErrors=false&email= Saildrone sd1059_hurricane_2022
https://erddap.maracoos.org/erddap/tabledap/sd1078_hurricane_2022.subset https://erddap.maracoos.org/erddap/tabledap/sd1078_hurricane_2022 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1078_hurricane_2022_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1078_hurricane_2022_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1078_hurricane_2022/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1078_hurricane_2022.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1078_hurricane_2022&showErrors=false&email= Saildrone sd1078_hurricane_2022
https://erddap.maracoos.org/erddap/tabledap/sd1083_hurricane_2022.subset https://erddap.maracoos.org/erddap/tabledap/sd1083_hurricane_2022 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1083_hurricane_2022_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1083_hurricane_2022_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1083_hurricane_2022/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1083_hurricane_2022.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1083_hurricane_2022&showErrors=false&email= Saildrone sd1083_hurricane_2022
https://erddap.maracoos.org/erddap/tabledap/sd1084_hurricane_2022.subset https://erddap.maracoos.org/erddap/tabledap/sd1084_hurricane_2022 https://erddap.maracoos.org/erddap/tabledap/sd1084_hurricane_2022.graph Saildrone Atlantic 2022 Hurricane Monitoring, drone 1084 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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1084_hurricane_2022_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1084_hurricane_2022_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1084_hurricane_2022/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1084_hurricane_2022.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1084_hurricane_2022&showErrors=false&email= Saildrone sd1084_hurricane_2022
https://erddap.maracoos.org/erddap/tabledap/sd1031_hurricane_2023.subset https://erddap.maracoos.org/erddap/tabledap/sd1031_hurricane_2023 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1031_hurricane_2023_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1031_hurricane_2023_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1031_hurricane_2023/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1031_hurricane_2023.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2023&showErrors=false&email= Saildrone sd1031_hurricane_2023
https://erddap.maracoos.org/erddap/tabledap/sd1036_hurricane_2023.subset https://erddap.maracoos.org/erddap/tabledap/sd1036_hurricane_2023 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1036_hurricane_2023_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1036_hurricane_2023_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1036_hurricane_2023/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1036_hurricane_2023.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1036_hurricane_2023&showErrors=false&email= Saildrone sd1036_hurricane_2023
https://erddap.maracoos.org/erddap/tabledap/sd1040_hurricane_2023.subset https://erddap.maracoos.org/erddap/tabledap/sd1040_hurricane_2023 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1040_hurricane_2023_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1040_hurricane_2023_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1040_hurricane_2023/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1040_hurricane_2023.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2023&showErrors=false&email= Saildrone sd1040_hurricane_2023
https://erddap.maracoos.org/erddap/tabledap/sd1041_hurricane_2023.subset https://erddap.maracoos.org/erddap/tabledap/sd1041_hurricane_2023 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1041_hurricane_2023_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1041_hurricane_2023_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1041_hurricane_2023/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1041_hurricane_2023.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1041_hurricane_2023&showErrors=false&email= Saildrone sd1041_hurricane_2023
https://erddap.maracoos.org/erddap/tabledap/sd1045_hurricane_2023.subset https://erddap.maracoos.org/erddap/tabledap/sd1045_hurricane_2023 https://erddap.maracoos.org/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)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1045_hurricane_2023_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1045_hurricane_2023_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1045_hurricane_2023/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1045_hurricane_2023.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1045_hurricane_2023&showErrors=false&email= Saildrone sd1045_hurricane_2023
https://erddap.maracoos.org/erddap/tabledap/sd1057_hurricane_2023.subset https://erddap.maracoos.org/erddap/tabledap/sd1057_hurricane_2023 https://erddap.maracoos.org/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)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1057_hurricane_2023_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1057_hurricane_2023_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1057_hurricane_2023/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1057_hurricane_2023.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1057_hurricane_2023&showErrors=false&email= Saildrone sd1057_hurricane_2023
https://erddap.maracoos.org/erddap/tabledap/sd1065_hurricane_2023.subset https://erddap.maracoos.org/erddap/tabledap/sd1065_hurricane_2023 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1065_hurricane_2023_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1065_hurricane_2023_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1065_hurricane_2023/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1065_hurricane_2023.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1065_hurricane_2023&showErrors=false&email= Saildrone sd1065_hurricane_2023
https://erddap.maracoos.org/erddap/tabledap/sd1068_hurricane_2023.subset https://erddap.maracoos.org/erddap/tabledap/sd1068_hurricane_2023 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1068_hurricane_2023_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1068_hurricane_2023_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1068_hurricane_2023/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1068_hurricane_2023.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1068_hurricane_2023&showErrors=false&email= Saildrone sd1068_hurricane_2023
https://erddap.maracoos.org/erddap/tabledap/sd1069_hurricane_2023.subset https://erddap.maracoos.org/erddap/tabledap/sd1069_hurricane_2023 https://erddap.maracoos.org/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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1069_hurricane_2023_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1069_hurricane_2023_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1069_hurricane_2023/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1069_hurricane_2023.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1069_hurricane_2023&showErrors=false&email= Saildrone sd1069_hurricane_2023
https://erddap.maracoos.org/erddap/tabledap/sd1083_hurricane_2023.subset https://erddap.maracoos.org/erddap/tabledap/sd1083_hurricane_2023 https://erddap.maracoos.org/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)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1083_hurricane_2023_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1083_hurricane_2023_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1083_hurricane_2023/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1083_hurricane_2023.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1083_hurricane_2023&showErrors=false&email= Saildrone sd1083_hurricane_2023
https://erddap.maracoos.org/erddap/tabledap/sd1031_hurricane_2021.subset https://erddap.maracoos.org/erddap/tabledap/sd1031_hurricane_2021 https://erddap.maracoos.org/erddap/tabledap/sd1031_hurricane_2021.graph Saildrone Hurricane Monitoring 2021 NRT data, drone 1031 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast 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)\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)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1031_hurricane_2021_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1031_hurricane_2021_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1031_hurricane_2021/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1031_hurricane_2021.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2021&showErrors=false&email= Saildrone sd1031_hurricane_2021
https://erddap.maracoos.org/erddap/tabledap/sd1040_hurricane_2021.subset https://erddap.maracoos.org/erddap/tabledap/sd1040_hurricane_2021 https://erddap.maracoos.org/erddap/tabledap/sd1040_hurricane_2021.graph Saildrone Hurricane Monitoring 2021 NRT data, drone 1040 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast 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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1040_hurricane_2021_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1040_hurricane_2021_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1040_hurricane_2021/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1040_hurricane_2021.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2021&showErrors=false&email= Saildrone sd1040_hurricane_2021
https://erddap.maracoos.org/erddap/tabledap/sd1045_hurricane_2021.subset https://erddap.maracoos.org/erddap/tabledap/sd1045_hurricane_2021 https://erddap.maracoos.org/erddap/tabledap/sd1045_hurricane_2021.graph Saildrone Hurricane Monitoring 2021 NRT data, drone 1045 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast 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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1045_hurricane_2021_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1045_hurricane_2021_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1045_hurricane_2021/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1045_hurricane_2021.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1045_hurricane_2021&showErrors=false&email= Saildrone sd1045_hurricane_2021
https://erddap.maracoos.org/erddap/tabledap/sd1048_hurricane_2021.subset https://erddap.maracoos.org/erddap/tabledap/sd1048_hurricane_2021 https://erddap.maracoos.org/erddap/tabledap/sd1048_hurricane_2021.graph Saildrone Hurricane Monitoring 2021 NRT data, drone 1048 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast 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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1048_hurricane_2021_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1048_hurricane_2021_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1048_hurricane_2021/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1048_hurricane_2021.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1048_hurricane_2021&showErrors=false&email= Saildrone sd1048_hurricane_2021
https://erddap.maracoos.org/erddap/tabledap/sd1060_hurricane_2021.subset https://erddap.maracoos.org/erddap/tabledap/sd1060_hurricane_2021 https://erddap.maracoos.org/erddap/tabledap/sd1060_hurricane_2021.graph Saildrone Hurricane Monitoring 2021 NRT data, drone 1060 Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission  include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast 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)\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)\nSAL_SBE37_MEAN (Seawater salinity)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://erddap.maracoos.org/erddap/metadata/fgdc/xml/sd1060_hurricane_2021_fgdc.xml https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1060_hurricane_2021_iso19115.xml https://erddap.maracoos.org/erddap/info/sd1060_hurricane_2021/index.htmlTable https://www.saildrone.com/ (external link) http://erddap.maracoos.org/erddap/rss/sd1060_hurricane_2021.rss https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1060_hurricane_2021&showErrors=false&email= Saildrone sd1060_hurricane_2021

 
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