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 | |
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https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_bottle.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_bottle | https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_bottle.graph | https://data.pmel.noaa.gov/generic/erddap/files/cchdo_bottle/ | CCHDO GO SHIP bottle data | CCHDO GO SHIP bottle data from netcdf\n\ncdm_data_type = Profile\nVARIABLES:\nprofile_id (Unique Profile ID)\nexpocode\nsection_id\nline_id\nstation\ncast\nsample\nbottle_number\nbottle_number_qc (Status Flag)\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Sea Floor Depth Below Sea Surface, m)\npressure (Sea Water Pressure, dbar)\nctd_temperature_unk (Sea Water Temperature, degree_C)\nctd_temperature_68 (Sea Water Temperature, degree_C)\nctd_temperature (Sea Water Temperature, degree_C)\nctd_temperature_qc (Status Flag)\nctd_salinity (Sea Water Practical Salinity, 1)\nctd_salinity_qc (Status Flag)\nbottle_salinity (Sea Water Practical Salinity, 1)\nbottle_salinity_qc (Status Flag)\nctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\nctd_oxygen_ml_l_qc (Status Flag)\nctd_oxygen (Moles Of Oxygen Per Unit Mass In Sea Water, µmole/kg)\nctd_oxygen_umol_l (Mole Concentration Of Dissolved Molecular Oxygen In Sea Water)\noxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\n... (183 more variables)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/cchdo_bottle_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/cchdo_bottle_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/cchdo_bottle/index.htmlTable | https://cchdo.ucsd.edu/ | https://data.pmel.noaa.gov/generic/erddap/rss/cchdo_bottle.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=cchdo_bottle&showErrors=false&email= | CCHDO | cchdo_bottle | ||
https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_ctd.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_ctd | https://data.pmel.noaa.gov/generic/erddap/tabledap/cchdo_ctd.graph | https://data.pmel.noaa.gov/generic/erddap/files/cchdo_ctd/ | CCHDO GO SHIP ctd data | CCHDO GO SHIP ctd data from netcdf files\n\ncdm_data_type = Profile\nVARIABLES:\nexpocode\nstation\ncast\nsample\ntime (seconds since 1970-01-01T00:00:00Z)\nprofile_id (Unique Profile ID)\nlatitude (degrees_north)\nlongitude (degrees_east)\npressure (Sea Water Pressure, dbar)\nctd_pressure_raw (Sea Water Pressure)\nctd_pressure_raw_qc (Status Flag)\nctd_temperature_unk (Sea Water Temperature, degree_C)\nctd_temperature_unk_qc (Status Flag)\nctd_temperature_68 (Sea Water Temperature, degree_C)\nctd_temperature (Sea Water Temperature, degree_C)\nctd_salinity (Sea Water Practical Salinity, 1)\nctd_salinity_qc (Status Flag)\nctd_absolute_salinity (Sea Water Absolute Salinity)\nctd_absolute_salinity_qc (Status Flag)\nctd_conservative_temperature (Sea Water Conservative Temperature, degree_C)\nctd_conservative_temperature_qc (Status Flag)\nctd_sound_velocity_salinity\nctd_sound_velocity_salinity_qc (Status Flag)\nctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\nctd_oxygen (Moles Of Oxygen Per Unit Mass In Sea Water, µmole/kg)\nctd_oxygen_umol_l (Mole Concentration Of Dissolved Molecular Oxygen In Sea Water)\nctd_oxygen_umol_l_qc (Status Flag)\n... (49 more variables)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/cchdo_ctd_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/cchdo_ctd_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/cchdo_ctd/index.htmlTable | https://cchdo.ucsd.edu/ | https://data.pmel.noaa.gov/generic/erddap/rss/cchdo_ctd.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=cchdo_ctd&showErrors=false&email= | CCHDO | cchdo_ctd | ||
https://data.pmel.noaa.gov/generic/erddap/tabledap/ctd_0e4d_0f30_7196.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/ctd_0e4d_0f30_7196 | https://data.pmel.noaa.gov/generic/erddap/tabledap/ctd_0e4d_0f30_7196.graph | Data from a local source. | Data from a local source.\n\ncdm_data_type = Profile\nVARIABLES:\nprofile_id (Unique Profile ID)\nexpocode\nstation\ncast\nsample\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\npressure (Sea Water Pressure, dbar)\nctd_temperature_unk (Sea Water Temperature, degree_C)\nctd_temperature_unk_qc (Status Flag)\nctd_temperature_68 (Sea Water Temperature, degree_C)\nctd_temperature_68_qc (Status Flag)\nctd_temperature (Sea Water Temperature, degree_C)\nctd_temperature_qc (Status Flag)\nctd_salinity (Sea Water Practical Salinity, 1)\nctd_salinity_qc (Status Flag)\nctd_oxygen_ml_l (Volume Fraction Of Oxygen In Sea Water)\nctd_oxygen_ml_l_qc (Status Flag)\nctd_oxygen (Moles Of Oxygen Per Unit Mass In Sea Water, µmole/kg)\nctd_oxygen_qc (Status Flag)\nctd_oxygen_umol_l (Mole Concentration Of Dissolved Molecular Oxygen In Sea Water)\nctd_oxygen_umol_l_qc (Status Flag)\nctd_fluor (Mass Concentration Of Chlorophyll In Sea Water)\nctd_fluor_qc (Status Flag)\nctd_fluor_arbitrary\nctd_fluor_arbitrary_qc (Status Flag)\n... (31 more variables)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/ctd_0e4d_0f30_7196_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/ctd_0e4d_0f30_7196_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/ctd_0e4d_0f30_7196/index.htmlTable | ??? | https://data.pmel.noaa.gov/generic/erddap/rss/ctd_0e4d_0f30_7196.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=ctd_0e4d_0f30_7196&showErrors=false&email= | ??? | ctd_0e4d_0f30_7196 | |||
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1076_swfsc_2022.graph | Saildrone 2022 SWFSC Survey NRT, drone 1076 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1076_swfsc_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1076_swfsc_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1076_swfsc_2022/index.htmlTable | https://saildrone.com/ | https://data.pmel.noaa.gov/generic/erddap/rss/sd1076_swfsc_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1076_swfsc_2022&showErrors=false&email= | Saildrone | sd1076_swfsc_2022 | |||
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1077_swfsc_2022.graph | Saildrone 2022 SWFSC Survey NRT, drone 1077 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1077_swfsc_2022_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1077_swfsc_2022_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1077_swfsc_2022/index.htmlTable | https://saildrone.com/ | https://data.pmel.noaa.gov/generic/erddap/rss/sd1077_swfsc_2022.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1077_swfsc_2022&showErrors=false&email= | Saildrone | sd1077_swfsc_2022 | |||
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_swfsc_2023.graph | Saildrone 2023 NOAA SWFSC NRT Data, drone 1048 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1048_swfsc_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1048_swfsc_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1048_swfsc_2023/index.htmlTable | https://saildrone.com/ | https://data.pmel.noaa.gov/generic/erddap/rss/sd1048_swfsc_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1048_swfsc_2023&showErrors=false&email= | Saildrone | sd1048_swfsc_2023 | |||
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_swfsc_2023.graph | Saildrone 2023 NOAA SWFSC NRT Data, drone 1060 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1060_swfsc_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1060_swfsc_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1060_swfsc_2023/index.htmlTable | https://saildrone.com/ | https://data.pmel.noaa.gov/generic/erddap/rss/sd1060_swfsc_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1060_swfsc_2023&showErrors=false&email= | Saildrone | sd1060_swfsc_2023 | |||
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1096_swfsc_2023.graph | Saildrone 2023 NOAA SWFSC NRT Data, drone 1096 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) uses advanced Technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology. New methods are compared to standard methods to ensure that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1096_swfsc_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1096_swfsc_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1096_swfsc_2023/index.htmlTable | https://saildrone.com/ | https://data.pmel.noaa.gov/generic/erddap/rss/sd1096_swfsc_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1096_swfsc_2023&showErrors=false&email= | Saildrone | sd1096_swfsc_2023 | |||
https://data.pmel.noaa.gov/generic/erddap/tabledap/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 | |||
https://data.pmel.noaa.gov/generic/erddap/tabledap/saildrone_gts.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/saildrone_gts | https://data.pmel.noaa.gov/generic/erddap/tabledap/saildrone_gts.graph | Saildrone data for GTS | Saildrone Network Common Data Format (NetCDF) format.\n\ncdm_data_type = Trajectory\nVARIABLES:\nwmo_platform_code\ntrajectory (Trajectory/Drone ID)\nlatitude (degrees_north)\ntime (seconds since 1970-01-01T00:00:00Z)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_AIR_MEAN (Air temperature, degrees_c)\nTEMP_CTD_MEAN (Seawater temperature, degrees_c)\nlongitude (degrees_east)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/saildrone_gts_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/saildrone_gts_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/saildrone_gts/index.htmlTable | http://saildrone.com/ | https://data.pmel.noaa.gov/generic/erddap/rss/saildrone_gts.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=saildrone_gts&showErrors=false&email= | SAILDRONE | saildrone_gts |