![]() |
ERDDAP
Easier access to scientific data |
Brought to you by NOAA NMFS SWFSC ERD |
griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://erddap.maracoos.org/erddap/tabledap/Beacon_Wind_LiDAR_423f_3214_f578.subset | https://erddap.maracoos.org/erddap/tabledap/Beacon_Wind_LiDAR_423f_3214_f578 | https://erddap.maracoos.org/erddap/tabledap/Beacon_Wind_LiDAR_423f_3214_f578.graph | Beacon Wind LiDAR Buoy - Realtime Data | Beacon Wind LiDAR Buoy - 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)\nHs (m)\nTp (s)\nThetaP (degrees)\nWindSpd (m s-1)\nWindDirn (degrees)\nHs_qartod_gross_range_test (Gross Range Test Quality Flag)\nHs_qartod_flat_line_test (Flat Line Test Quality Flag)\nHs_qartod_aggregate (Aggregate Quality Flag)\nTp_qartod_gross_range_test (Gross Range Test Quality Flag)\nTp_qartod_flat_line_test (Flat Line Test Quality Flag)\nTp_qartod_aggregate (Aggregate Quality Flag)\nThetaP_qartod_gross_range_test (Gross Range Test Quality Flag)\nThetaP_qartod_flat_line_test (Flat Line Test Quality Flag)\nThetaP_qartod_aggregate (Aggregate Quality Flag)\n... (8 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/Beacon_Wind_LiDAR_423f_3214_f578_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/Beacon_Wind_LiDAR_423f_3214_f578_iso19115.xml | https://erddap.maracoos.org/erddap/info/Beacon_Wind_LiDAR_423f_3214_f578/index.htmlTable | https://www.beaconwind.com/![]() | http://erddap.maracoos.org/erddap/rss/Beacon_Wind_LiDAR_423f_3214_f578.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=Beacon_Wind_LiDAR_423f_3214_f578&showErrors=false&email= | Equinor US Wind | Beacon_Wind_LiDAR_423f_3214_f578 | |||
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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/ru30-20180502T1355-profile-sci-delayed.subset | https://erddap.maracoos.org/erddap/tabledap/ru30-20180502T1355-profile-sci-delayed | https://erddap.maracoos.org/erddap/tabledap/ru30-20180502T1355-profile-sci-delayed.graph | ru30-20180502T1355 Delayed Mode Science Profiles | This project integrated a deep rated version of the Ion Sensitive Field Effect Transistor (ISFET)-based pH sensor, the Deep ISFET pH, into a Slocum Webb G2 glider. The pH sensor unit is complemented with existing glider sensors including a CTD, a WETLabs BB2FL ECO puck configured for simultaneous chlorophyll fluorescence and optical backscatter measurements, and an Aanderaa Optode for measuring dissolved oxygen. This cross shelf New Jersey glider deployment is occurring on the Rutgers E-line. This delayed mode dataset contains temperature, salinity, chlorophyll a, CDOM, oxygen and raw pH measurements.\n\ncdm_data_type = TrajectoryProfile\nVARIABLES:\ntime (m_present_time, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nprofile_id\nprofile_lat (Profile Center Latitude, degree_north)\nprofile_lon (Profile Center Longitude, degree_east)\nsource_file (Source data file)\nplatform (Slocum Glider ru30)\ninstrument_ctd (Pumped Conductivity, Temperature, Depth (CTD) Sensor)\ninstrument_flbbcd (FLBBCD Eco Puck)\ninstrument_optode (Aanderaa Optode 4831)\ninstrument_ph (Sea-Bird pH Meter)\nbeta_700nm (Beta 700nm at 117 degrees, nodim)\nbeta_700nm_reference (Beta 700nm Reference at 117 degrees, nodim)\nbeta_700nm_signal (Beta 700nm Signal at 117 degrees, nodim)\nc_alt_time (sec)\nc_ballast_pumped (cc)\nc_climb_target_depth (m)\nc_dive_target_depth (m)\n... (123 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru30-20180502T1355-profile-sci-delayed_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru30-20180502T1355-profile-sci-delayed_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru30-20180502T1355-profile-sci-delayed/index.htmlTable | https://rucool.marine.rutgers.edu![]() | http://erddap.maracoos.org/erddap/rss/ru30-20180502T1355-profile-sci-delayed.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru30-20180502T1355-profile-sci-delayed&showErrors=false&email= | Rutgers University | ru30-20180502T1355-profile-sci-delayed | |||
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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/sd1041_hurricane_2024.subset | https://erddap.maracoos.org/erddap/tabledap/sd1041_hurricane_2024 | https://erddap.maracoos.org/erddap/tabledap/sd1041_hurricane_2024.graph | Saildrone Atlantic 2024 Hurricane Monitoring Surface Data, drone 1041 | (1) Real-time steering of USVs toward tropical cyclones and other strong low-pressure systems, based on forecasted tracks and the knowledge and experience gained from the 2021-2023 hurricane missions (2) Continuing to evolve and refine the practice of coordinating USVs and underwater gliders, small uncrewed aerial systems, and other air-deployed or pre-existing instruments (3) Observations of air-sea interactions ahead of, inside, and after hurricanes (4) Provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems (5) Near-real time validations of forecast model initialization and output\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_2024_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/sd1041_hurricane_2024_iso19115.xml | https://erddap.maracoos.org/erddap/info/sd1041_hurricane_2024/index.htmlTable | https://www.saildrone.com/![]() | http://erddap.maracoos.org/erddap/rss/sd1041_hurricane_2024.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=sd1041_hurricane_2024&showErrors=false&email= | Saildrone | sd1041_hurricane_2024 | |||
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/![]() | 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/![]() | 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/![]() | 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/![]() | 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/![]() | 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 |