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ERDDAP
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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/ru28-20180920T1334-profile-raw-rt.subset | https://erddap.maracoos.org/erddap/tabledap/ru28-20180920T1334-profile-raw-rt | https://erddap.maracoos.org/erddap/tabledap/ru28-20180920T1334-profile-raw-rt.graph | ru28-20180920T1334 Real-Time Raw Profile | Deployment of a Slocum glider to perform surveys of dissolved oxygen concentrations in the shallow coastal waters of New Jersey. This deployment is part of the New Jersey Department of Environmental Protection's yearly coastal waters oxygen monitoring efforts. This glider carried a CTD, Seabird Scientific ECO triplet fluorescence-backscatter-chlorophyll a sensor, Sequoia Scientific LISST 200x, SeaView wave sensor, Vemco Mobile Transceiver and Aanderaa dissolved oxygen sensor.\n\ncdm_data_type = Profile\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nsource_file (Source data file)\nc_alt_time (sec)\nc_ballast_pumped (cc)\nc_climb_target_depth (m)\nc_dive_target_depth (m)\nc_heading (rad)\nc_science_send_all (bool)\nc_thruster_on (percent)\nc_weight_drop (bool)\nc_wpt_lat (lat)\nc_wpt_lon (lon)\nc_wpt_x_lmc (m)\nc_wpt_y_lmc (m)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\nf_fin_offset (rad)\nf_ocean_pressure_max (volts)\nf_ocean_pressure_min (volts)\n... (91 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru28-20180920T1334-profile-raw-rt_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru28-20180920T1334-profile-raw-rt_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru28-20180920T1334-profile-raw-rt/index.htmlTable | https://rucool.marine.rutgers.edu,https://www.state.nj.us/dep/wms/bmw/glider.html
| http://erddap.maracoos.org/erddap/rss/ru28-20180920T1334-profile-raw-rt.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru28-20180920T1334-profile-raw-rt&showErrors=false&email= | Rutgers University | ru28-20180920T1334-profile-raw-rt | |||
| https://erddap.maracoos.org/erddap/tabledap/ru28-20180920T1334-trajectory-raw-rt.subset | https://erddap.maracoos.org/erddap/tabledap/ru28-20180920T1334-trajectory-raw-rt | https://erddap.maracoos.org/erddap/tabledap/ru28-20180920T1334-trajectory-raw-rt.graph | ru28-20180920T1334 Real-Time Raw Trajectory | Deployment of a Slocum glider to perform surveys of dissolved oxygen concentrations in the shallow coastal waters of New Jersey. This deployment is part of the New Jersey Department of Environmental Protection's yearly coastal waters oxygen monitoring efforts. This glider carried a CTD, Seabird Scientific ECO triplet fluorescence-backscatter-chlorophyll a sensor, Sequoia Scientific LISST 200x, SeaView wave sensor, Vemco Mobile Transceiver and Aanderaa dissolved oxygen sensor.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nsource_file (Source data file)\nc_alt_time (sec)\nc_ballast_pumped (cc)\nc_climb_target_depth (m)\nc_dive_target_depth (m)\nc_heading (rad)\nc_science_send_all (bool)\nc_thruster_on (percent)\nc_weight_drop (bool)\nc_wpt_lat (lat)\nc_wpt_lon (lon)\nc_wpt_x_lmc (m)\nc_wpt_y_lmc (m)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\nf_fin_offset (rad)\nf_ocean_pressure_max (volts)\nf_ocean_pressure_min (volts)\n... (87 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru28-20180920T1334-trajectory-raw-rt_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru28-20180920T1334-trajectory-raw-rt_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru28-20180920T1334-trajectory-raw-rt/index.htmlTable | https://rucool.marine.rutgers.edu,https://www.state.nj.us/dep/wms/bmw/glider.html
| http://erddap.maracoos.org/erddap/rss/ru28-20180920T1334-trajectory-raw-rt.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru28-20180920T1334-trajectory-raw-rt&showErrors=false&email= | Rutgers University | ru28-20180920T1334-trajectory-raw-rt | |||
| https://erddap.maracoos.org/erddap/tabledap/ru28-20181023T1320-profile-raw-rt.subset | https://erddap.maracoos.org/erddap/tabledap/ru28-20181023T1320-profile-raw-rt | https://erddap.maracoos.org/erddap/tabledap/ru28-20181023T1320-profile-raw-rt.graph | ru28-20181023T1320 Real-Time Raw Profile | Deployment of a Slocum glider to perform surveys of dissolved oxygen concentrations in the shallow coastal waters of New Jersey. This deployment is part of the New Jersey Department of Environmental Protection's yearly coastal waters oxygen monitoring efforts. This glider carried a CTD, Seabird Scientific ECO triplet fluorescence-backscatter-chlorophyll a sensor, Sequoia Scientific LISST 200x, SeaView wave sensor, Vemco Mobile Transceiver and Aanderaa dissolved oxygen sensor.\n\ncdm_data_type = Profile\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nsource_file (Source data file)\nc_alt_time (sec)\nc_ballast_pumped (cc)\nc_climb_target_depth (m)\nc_dive_target_depth (m)\nc_heading (rad)\nc_science_send_all (bool)\nc_thruster_on (percent)\nc_weight_drop (bool)\nc_wpt_lat (lat)\nc_wpt_lon (lon)\nc_wpt_x_lmc (m)\nc_wpt_y_lmc (m)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\nf_fin_offset (rad)\nf_ocean_pressure_max (volts)\nf_ocean_pressure_min (volts)\n... (91 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru28-20181023T1320-profile-raw-rt_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru28-20181023T1320-profile-raw-rt_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru28-20181023T1320-profile-raw-rt/index.htmlTable | https://rucool.marine.rutgers.edu,https://www.state.nj.us/dep/wms/bmw/glider.html
| http://erddap.maracoos.org/erddap/rss/ru28-20181023T1320-profile-raw-rt.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru28-20181023T1320-profile-raw-rt&showErrors=false&email= | Rutgers University | ru28-20181023T1320-profile-raw-rt | |||
| https://erddap.maracoos.org/erddap/tabledap/ru28-20181023T1320-trajectory-raw-rt.subset | https://erddap.maracoos.org/erddap/tabledap/ru28-20181023T1320-trajectory-raw-rt | https://erddap.maracoos.org/erddap/tabledap/ru28-20181023T1320-trajectory-raw-rt.graph | ru28-20181023T1320 Real-Time Raw Trajectory | Deployment of a Slocum glider to perform surveys of dissolved oxygen concentrations in the shallow coastal waters of New Jersey. This deployment is part of the New Jersey Department of Environmental Protection's yearly coastal waters oxygen monitoring efforts. This glider carried a CTD, Seabird Scientific ECO triplet fluorescence-backscatter-chlorophyll a sensor, Sequoia Scientific LISST 200x, SeaView wave sensor, Vemco Mobile Transceiver and Aanderaa dissolved oxygen sensor.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nsource_file (Source data file)\nc_alt_time (sec)\nc_ballast_pumped (cc)\nc_climb_target_depth (m)\nc_dive_target_depth (m)\nc_heading (rad)\nc_science_send_all (bool)\nc_thruster_on (percent)\nc_weight_drop (bool)\nc_wpt_lat (lat)\nc_wpt_lon (lon)\nc_wpt_x_lmc (m)\nc_wpt_y_lmc (m)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\nf_fin_offset (rad)\nf_ocean_pressure_max (volts)\nf_ocean_pressure_min (volts)\n... (87 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru28-20181023T1320-trajectory-raw-rt_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru28-20181023T1320-trajectory-raw-rt_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru28-20181023T1320-trajectory-raw-rt/index.htmlTable | https://rucool.marine.rutgers.edu,https://www.state.nj.us/dep/wms/bmw/glider.html
| http://erddap.maracoos.org/erddap/rss/ru28-20181023T1320-trajectory-raw-rt.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru28-20181023T1320-trajectory-raw-rt&showErrors=false&email= | Rutgers University | ru28-20181023T1320-trajectory-raw-rt | |||
| https://erddap.maracoos.org/erddap/tabledap/ru33-20180801T1323-profile-raw-rt.subset | https://erddap.maracoos.org/erddap/tabledap/ru33-20180801T1323-profile-raw-rt | https://erddap.maracoos.org/erddap/tabledap/ru33-20180801T1323-profile-raw-rt.graph | ru33-20180801T1323 Real-Time Raw Profile | Deployment to sample the Mid Atlantic Summer Cold Pool in order to validate regional and global numerical ocean models and to investigate the Cold Pool's role in modulating hurricane intensity. The glider will be deployed for up to 90 days on the New Jersey Shelf. This dataset includes CTD, chlorlophyll a, backscatter and colored dissolved organic matter, beam c, particle load and dissolved oxygen measurements.\n\ncdm_data_type = Profile\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nsource_file (Source data file)\nc_alt_time (sec)\nc_ballast_pumped (cc)\nc_climb_target_depth (m)\nc_dive_target_depth (m)\nc_heading (rad)\nc_science_send_all (bool)\nc_thruster_on (percent)\nc_weight_drop (bool)\nc_wpt_lat (lat)\nc_wpt_lon (lon)\nc_wpt_x_lmc (m)\nc_wpt_y_lmc (m)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\nf_fin_offset (rad)\nf_ocean_pressure_max (volts)\nf_ocean_pressure_min (volts)\ninstrument_ctd (Pumped Conductivity, Temperature, Depth (CTD) Sensor)\n... (91 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru33-20180801T1323-profile-raw-rt_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru33-20180801T1323-profile-raw-rt_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru33-20180801T1323-profile-raw-rt/index.htmlTable | https://rucool.marine.rutgers.edu
| http://erddap.maracoos.org/erddap/rss/ru33-20180801T1323-profile-raw-rt.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru33-20180801T1323-profile-raw-rt&showErrors=false&email= | Rutgers University | ru33-20180801T1323-profile-raw-rt | |||
| https://erddap.maracoos.org/erddap/tabledap/ru33-20180801T1323-trajectory-raw-rt.subset | https://erddap.maracoos.org/erddap/tabledap/ru33-20180801T1323-trajectory-raw-rt | https://erddap.maracoos.org/erddap/tabledap/ru33-20180801T1323-trajectory-raw-rt.graph | ru33-20180801T1323 Real-Time Raw Trajectory | Deployment to sample the Mid Atlantic Summer Cold Pool in order to validate regional and global numerical ocean models and to investigate the Cold Pool's role in modulating hurricane intensity. The glider will be deployed for up to 90 days on the New Jersey Shelf. This dataset includes CTD, chlorlophyll a, backscatter and colored dissolved organic matter, beam c, particle load and dissolved oxygen measurements.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nsource_file (Source data file)\nc_alt_time (sec)\nc_ballast_pumped (cc)\nc_climb_target_depth (m)\nc_dive_target_depth (m)\nc_heading (rad)\nc_science_send_all (bool)\nc_thruster_on (percent)\nc_weight_drop (bool)\nc_wpt_lat (lat)\nc_wpt_lon (lon)\nc_wpt_x_lmc (m)\nc_wpt_y_lmc (m)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\nf_fin_offset (rad)\nf_ocean_pressure_max (volts)\nf_ocean_pressure_min (volts)\ninstrument_ctd (Pumped Conductivity, Temperature, Depth (CTD) Sensor)\n... (87 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru33-20180801T1323-trajectory-raw-rt_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru33-20180801T1323-trajectory-raw-rt_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru33-20180801T1323-trajectory-raw-rt/index.htmlTable | https://rucool.marine.rutgers.edu
| http://erddap.maracoos.org/erddap/rss/ru33-20180801T1323-trajectory-raw-rt.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru33-20180801T1323-trajectory-raw-rt&showErrors=false&email= | Rutgers University | ru33-20180801T1323-trajectory-raw-rt | |||
| https://erddap.maracoos.org/erddap/tabledap/ru33-20200715T1558-trajectory-raw-rt.subset | https://erddap.maracoos.org/erddap/tabledap/ru33-20200715T1558-trajectory-raw-rt | https://erddap.maracoos.org/erddap/tabledap/ru33-20200715T1558-trajectory-raw-rt.graph | ru33-20200715T1558 Real-Time Raw Trajectory | This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. The glider was deployed out of Tuckerton, NJ and will transect offshore along the Endurance line to the shelf break, south along the break then back toward Tuckerton, NJ with an inshore point at about 30 meters depth. This real-time dataset contains CTD measurements from both a Seabird Scientific pumped CTD and an RBRconcerto inductive CTD.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nsource_file (Source data file)\nc_alt_time (sec)\nc_ballast_pumped (cc)\nc_climb_target_depth (m)\nc_dive_target_depth (m)\nc_fin (rad)\nc_heading (rad)\nc_science_send_all (bool)\nc_thruster_on (percent)\nc_weight_drop (bool)\n... (96 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru33-20200715T1558-trajectory-raw-rt_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru33-20200715T1558-trajectory-raw-rt_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru33-20200715T1558-trajectory-raw-rt/index.htmlTable | https://rucool.marine.rutgers.edu
| http://erddap.maracoos.org/erddap/rss/ru33-20200715T1558-trajectory-raw-rt.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru33-20200715T1558-trajectory-raw-rt&showErrors=false&email= | Rutgers University | ru33-20200715T1558-trajectory-raw-rt | |||
| https://erddap.maracoos.org/erddap/tabledap/ru34-20200729T1430-profile-raw-rt.subset | https://erddap.maracoos.org/erddap/tabledap/ru34-20200729T1430-profile-raw-rt | https://erddap.maracoos.org/erddap/tabledap/ru34-20200729T1430-profile-raw-rt.graph | ru34-20200729T1430 Real-Time Raw Profile | This glider mission will serve as an integral component of Ørsted’s Ecosystem and Passive Acoustic Monitoring (ECO-PAM) project, which will help advance research for detection of North Atlantic right whale, to better understand their presence, distribution and seasonality and to contribute to characterization of their habitat in offshore wind lease areas. Additional benefits of the glider mission include collection of tagged fish data disseminated thru the Animal Telemetry Network as well as contribution of data gathered to the NOAA IOOS Glider DAC that will help improve accuracy of weather forecasting and predicting severe storms. The ECO-PAM project is in partnership with the University of Rhode Island, Woods Hole Oceanographic Institution and Rutgers, The State University of New Jersey. This real-time dataset contains temperature, salinity and oxygen concentration measurements. Acoustic monitoring data will be packaged separately and is not included in this dataset. The glider was deployed southeast of Atlantic City and will perform zig-zag transects south along the coast of New Jersey\n\ncdm_data_type = Profile\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nsource_file (Source data file)\nc_alt_time (sec)\nc_ballast_pumped (cc)\nc_climb_target_depth (m)\nc_dive_target_depth (m)\nc_fin (rad)\nc_heading (rad)\nc_science_send_all (bool)\nc_thruster_on (percent)\nc_weight_drop (bool)\nc_wpt_lat (lat)\n... (103 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru34-20200729T1430-profile-raw-rt_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru34-20200729T1430-profile-raw-rt_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru34-20200729T1430-profile-raw-rt/index.htmlTable | https://oceanwind.com/,http://dcs.whoi.edu/,https://rucool.marine.rutgers.edu
| http://erddap.maracoos.org/erddap/rss/ru34-20200729T1430-profile-raw-rt.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru34-20200729T1430-profile-raw-rt&showErrors=false&email= | Rutgers University | ru34-20200729T1430-profile-raw-rt | |||
| https://erddap.maracoos.org/erddap/tabledap/ru34-20200729T1430-trajectory-raw-rt.subset | https://erddap.maracoos.org/erddap/tabledap/ru34-20200729T1430-trajectory-raw-rt | https://erddap.maracoos.org/erddap/tabledap/ru34-20200729T1430-trajectory-raw-rt.graph | ru34-20200729T1430 Real-Time Raw Trajectory | This glider mission will serve as an integral component of Ørsted’s Ecosystem and Passive Acoustic Monitoring (ECO-PAM) project, which will help advance research for detection of North Atlantic right whale, to better understand their presence, distribution and seasonality and to contribute to characterization of their habitat in offshore wind lease areas. Additional benefits of the glider mission include collection of tagged fish data disseminated thru the Animal Telemetry Network as well as contribution of data gathered to the NOAA IOOS Glider DAC that will help improve accuracy of weather forecasting and predicting severe storms. The ECO-PAM project is in partnership with the University of Rhode Island, Woods Hole Oceanographic Institution and Rutgers, The State University of New Jersey. This real-time dataset contains temperature, salinity and oxygen concentration measurements. Acoustic monitoring data will be packaged separately and is not included in this dataset. The glider was deployed southeast of Atlantic City and will perform zig-zag transects south along the coast of New Jersey\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nsource_file (Source data file)\nc_alt_time (sec)\nc_ballast_pumped (cc)\nc_climb_target_depth (m)\nc_dive_target_depth (m)\nc_fin (rad)\nc_heading (rad)\nc_science_send_all (bool)\nc_thruster_on (percent)\nc_weight_drop (bool)\nc_wpt_lat (lat)\n... (99 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru34-20200729T1430-trajectory-raw-rt_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru34-20200729T1430-trajectory-raw-rt_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru34-20200729T1430-trajectory-raw-rt/index.htmlTable | https://oceanwind.com/,http://dcs.whoi.edu/,https://rucool.marine.rutgers.edu
| http://erddap.maracoos.org/erddap/rss/ru34-20200729T1430-trajectory-raw-rt.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru34-20200729T1430-trajectory-raw-rt&showErrors=false&email= | Rutgers University | ru34-20200729T1430-trajectory-raw-rt | |||
| https://erddap.maracoos.org/erddap/tabledap/ru34-20200729T1430-profile-sci-rt.subset | https://erddap.maracoos.org/erddap/tabledap/ru34-20200729T1430-profile-sci-rt | https://erddap.maracoos.org/erddap/tabledap/ru34-20200729T1430-profile-sci-rt.graph | ru34-20200729T1430 Real-Time Science Profile | This glider mission will serve as an integral component of Ørsted’s Ecosystem and Passive Acoustic Monitoring (ECO-PAM) project, which will help advance research for detection of North Atlantic right whale, to better understand their presence, distribution and seasonality and to contribute to characterization of their habitat in offshore wind lease areas. Additional benefits of the glider mission include collection of tagged fish data disseminated thru the Animal Telemetry Network as well as contribution of data gathered to the NOAA IOOS Glider DAC that will help improve accuracy of weather forecasting and predicting severe storms. The ECO-PAM project is in partnership with the University of Rhode Island, Woods Hole Oceanographic Institution and Rutgers, The State University of New Jersey. This real-time dataset contains temperature, salinity and oxygen concentration measurements. Acoustic monitoring data will be packaged separately and is not included in this dataset. The glider was deployed southeast of Atlantic City and will perform zig-zag transects south along the coast of New Jersey\n\ncdm_data_type = Profile\nVARIABLES:\ntime (Timestamp, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (CTD Depth, m)\ntrajectory (Trajectory/Deployment Name)\nsource_file (Source data file)\nconductivity (Raw Conductivity, S m-1)\ncrs (http://www.opengis.net/def/crs/EPSG/0/4326)\nctd41cp_timestamp (seconds since 1970-01-01T00:00:00Z)\ndensity (kg m-3)\ninstrument_ctd (Conductivity, Temperature, Depth (CTD) Sensor)\ninstrument_dmon (DMON)\ninstrument_optode (Oxygen Optode)\ninstrument_vmt (Vemco Rx-Live Mobile Tranceiver)\nm_pitch (rad)\nm_roll (rad)\n... (21 more variables)\n | https://erddap.maracoos.org/erddap/metadata/fgdc/xml/ru34-20200729T1430-profile-sci-rt_fgdc.xml | https://erddap.maracoos.org/erddap/metadata/iso19115/xml/ru34-20200729T1430-profile-sci-rt_iso19115.xml | https://erddap.maracoos.org/erddap/info/ru34-20200729T1430-profile-sci-rt/index.htmlTable | https://oceanwind.com/,http://dcs.whoi.edu/,https://rucool.marine.rutgers.edu
| http://erddap.maracoos.org/erddap/rss/ru34-20200729T1430-profile-sci-rt.rss | https://erddap.maracoos.org/erddap/subscriptions/add.html?datasetID=ru34-20200729T1430-profile-sci-rt&showErrors=false&email= | Rutgers University | ru34-20200729T1430-profile-sci-rt | |||
| 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/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 |