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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://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly | https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly.graph | OceanSITES KEO in-situ data: Hourly High Resolution Data (KEO OceanSITES long timeseries data) | OceanSITES KEO in-situ data: Hourly High Resolution Data. KEO long timeseries sub-surface data\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nprofile_id\nwmo_platform_code\nsite_code\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (Depth of each measurement, m)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nPRES_DM (method of data processing)\nPSAL_DM (method of data processing)\nTEMP_DM (method of data processing)\nPRES (water pressure, observed and calculated, decibar)\nPRES_QC (quality flag)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nTEMP (temperature, degree_Celsius)\nTEMP_QC (quality flag)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/keo_hourly_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/keo_hourly_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/keo_hourly/index.htmlTable | https://www.pmel.noaa.gov/ocs/
| https://data.pmel.noaa.gov/generic/erddap/rss/keo_hourly.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=keo_hourly&showErrors=false&email= | NOAA/PMEL/OCS | keo_hourly | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly_temp.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly_temp | https://data.pmel.noaa.gov/generic/erddap/tabledap/keo_hourly_temp.graph | OceanSITES KEO in-situ data: Hourly High Resolution Data (KEO OceanSITES long timeseries data) | OceanSITES KEO in-situ data: Hourly High Resolution Data. KEO long timeseries sub-surface data\n\ncdm_data_type = TimeSeriesProfile\nVARIABLES:\nprofile_id\nwmo_platform_code\nsite_code\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (Depth of each measurement, m)\nlatitude (Latitude of each location, degrees_north)\nlongitude (Longitude of each location, degrees_east)\nPRES_DM (method of data processing)\nPSAL_DM (method of data processing)\nTEMP_DM (method of data processing)\nPRES (water pressure, observed and calculated, decibar)\nPRES_QC (quality flag)\nPSAL (salinity, PSU)\nPSAL_QC (quality flag)\nTEMP (temperature, degree_Celsius)\nTEMP_QC (quality flag)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/keo_hourly_temp_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/keo_hourly_temp_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/keo_hourly_temp/index.htmlTable | https://www.pmel.noaa.gov/ocs/
| https://data.pmel.noaa.gov/generic/erddap/rss/keo_hourly_temp.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=keo_hourly_temp&showErrors=false&email= | NOAA/PMEL/OCS | keo_hourly_temp | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2022.graph | Saildrone Atlantic 2022 Hurricane Monitoring, drone 1031 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1031_hurricane_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1031_hurricane_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1031_hurricane_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1031_hurricane_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2022&showErrors=false&email= | Saildrone | sd1031_hurricane_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1032_hurricane_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1032_hurricane_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1032_hurricane_2022.graph | Saildrone Atlantic 2022 Hurricane Monitoring, drone 1032 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1032_hurricane_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1032_hurricane_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1032_hurricane_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1032_hurricane_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1032_hurricane_2022&showErrors=false&email= | Saildrone | sd1032_hurricane_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2022.graph | Saildrone Atlantic 2022 Hurricane Monitoring, drone 1040 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1040_hurricane_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1040_hurricane_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1040_hurricane_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1040_hurricane_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2022&showErrors=false&email= | Saildrone | sd1040_hurricane_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_hurricane_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_hurricane_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1059_hurricane_2022.graph | Saildrone Atlantic 2022 Hurricane Monitoring, drone 1059 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1059_hurricane_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1059_hurricane_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1059_hurricane_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1059_hurricane_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1059_hurricane_2022&showErrors=false&email= | Saildrone | sd1059_hurricane_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1078_hurricane_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1078_hurricane_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1078_hurricane_2022.graph | Saildrone Atlantic 2022 Hurricane Monitoring, drone 1078 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN\nWIND_SPEED_MEAN\nTEMP_AIR_MEAN (degree_C)\nRH_MEAN\nBARO_PRES_MEAN\nWAVE_DOMINANT_PERIOD\nWAVE_SIGNIFICANT_HEIGHT\nTEMP_SBE37_MEAN (degree_C)\nSAL_SBE37_MEAN\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1078_hurricane_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1078_hurricane_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1078_hurricane_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1078_hurricane_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1078_hurricane_2022&showErrors=false&email= | Saildrone | sd1078_hurricane_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2022.graph | Saildrone Atlantic 2022 Hurricane Monitoring, drone 1083 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 4 USVs during the 2021 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1083_hurricane_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1083_hurricane_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1083_hurricane_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1083_hurricane_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1083_hurricane_2022&showErrors=false&email= | Saildrone | sd1083_hurricane_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1084_hurricane_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1084_hurricane_2022 | https://data.pmel.noaa.gov/generic/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)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1084_hurricane_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1084_hurricane_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1084_hurricane_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1084_hurricane_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1084_hurricane_2022&showErrors=false&email= | Saildrone | sd1084_hurricane_2022 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1031 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1031_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1031_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1031_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1031_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2023&showErrors=false&email= | Saildrone | sd1031_hurricane_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1036_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1036_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1036_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1036 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1036_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1036_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1036_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1036_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1036_hurricane_2023&showErrors=false&email= | Saildrone | sd1036_hurricane_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1040 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1040_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1040_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1040_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1040_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2023&showErrors=false&email= | Saildrone | sd1040_hurricane_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1041_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1041_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1041_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1041 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1041_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1041_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1041_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1041_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1041_hurricane_2023&showErrors=false&email= | Saildrone | sd1041_hurricane_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1045 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1045_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1045_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1045_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1045_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1045_hurricane_2023&showErrors=false&email= | Saildrone | sd1045_hurricane_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1057_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1057_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1057_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1057 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1057_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1057_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1057_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1057_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1057_hurricane_2023&showErrors=false&email= | Saildrone | sd1057_hurricane_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1064_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1064 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1064_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1064_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1064_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1064_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1064_hurricane_2023&showErrors=false&email= | Saildrone | sd1064_hurricane_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1065 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1065_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_hurricane_2023&showErrors=false&email= | Saildrone | sd1065_hurricane_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1068_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1068_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1068_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1068 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1068_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1068_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1068_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1068_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1068_hurricane_2023&showErrors=false&email= | Saildrone | sd1068_hurricane_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1069_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1069_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1069_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1069 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1069_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1069_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1069_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1069_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1069_hurricane_2023&showErrors=false&email= | Saildrone | sd1069_hurricane_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1083_hurricane_2023.graph | Saildrone Atlantic 2023 Hurricane Monitoring Surface Data, drone 1083 | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1083_hurricane_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1083_hurricane_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1083_hurricane_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1083_hurricane_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1083_hurricane_2023&showErrors=false&email= | Saildrone | sd1083_hurricane_2023 |