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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://data.pmel.noaa.gov/generic/erddap/tabledap/sailbuoy_4803921.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sailbuoy_4803921 https://data.pmel.noaa.gov/generic/erddap/tabledap/sailbuoy_4803921.graph Labrador Sea Sailbuoy 4803921 Labrador Sea Sailbuoy 4803921\n\ncdm_data_type = Trajectory\nVARIABLES:\nwmo_platform_code\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTTFF\nCount\nCommands\nTxTries (Tx Tries)\nONT\nI\nV\nTemperature (Sea Surface Temperature, degrees_C)\nAirmarAirTemp (Air Temperature, degrees_C)\nAirmarWindDirection\nAirmarWindSpeed (Wind Speed, m s-1)\nAirmarWindGust (Wind Speed Of Gust, m s-1)\nAirmarHeading (Airmar Heading)\nAirmarAirFix (Airmar Air Fix)\nMOSE_OnMin (MOSE On Min)\nHs (Significant Wave Height, m)\nTs (significant wave period, seconds)\nT0 (Mean Wave Period, seonds)\nHmax (Maximum Wave Height, m)\nErr (Error)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sailbuoy_4803921_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sailbuoy_4803921_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sailbuoy_4803921/index.htmlTable https://www.mun.ca/physics/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sailbuoy_4803921.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sailbuoy_4803921&showErrors=false&email= Memorial University sailbuoy_4803921
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1044_usn_tf59_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1044_usn_tf59_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1044_usn_tf59_2022.graph Saildrone 2022 US Navy Task Force 59, drone 1044 Saildrone Explorer USVs being used by US Navy's Task Force 59 for data collection in the Fifth Fleet AOR.\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_SPEED_MEAN (Wind speed, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1044_usn_tf59_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1044_usn_tf59_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1044_usn_tf59_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1044_usn_tf59_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1044_usn_tf59_2022&showErrors=false&email= Saildrone sd1044_usn_tf59_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1047_usn_tf59_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1047_usn_tf59_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1047_usn_tf59_2022.graph Saildrone 2022 US Navy Task Force 59, drone 1047 Saildrone Explorer USVs being used by US Navy's Task Force 59 for data collection in the Fifth Fleet AOR.\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_SPEED_MEAN (Wind speed, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1047_usn_tf59_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1047_usn_tf59_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1047_usn_tf59_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1047_usn_tf59_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1047_usn_tf59_2022&showErrors=false&email= Saildrone sd1047_usn_tf59_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1053_usn_tf59_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1053_usn_tf59_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1053_usn_tf59_2022.graph Saildrone 2022 US Navy Task Force 59, drone 1053 Saildrone Explorer USVs being used by US Navy's Task Force 59 for data collection in the Fifth Fleet AOR.\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_SPEED_MEAN (Wind speed, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1053_usn_tf59_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1053_usn_tf59_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1053_usn_tf59_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1053_usn_tf59_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1053_usn_tf59_2022&showErrors=false&email= Saildrone sd1053_usn_tf59_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1054_usn_tf59_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1054_usn_tf59_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1054_usn_tf59_2022.graph Saildrone 2022 US Navy Task Force 59, drone 1054 Saildrone Explorer USVs being used by US Navy's Task Force 59 for data collection in the Fifth Fleet AOR.\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_SPEED_MEAN (Wind speed, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1054_usn_tf59_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1054_usn_tf59_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1054_usn_tf59_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1054_usn_tf59_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1054_usn_tf59_2022&showErrors=false&email= Saildrone sd1054_usn_tf59_2022
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1061_usn_tf59_2022.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1061_usn_tf59_2022 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1061_usn_tf59_2022.graph Saildrone 2022 US Navy Task Force 59, drone 1061 Saildrone Explorer USVs being used by US Navy's Task Force 59 for data collection in the Fifth Fleet AOR.\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_SPEED_MEAN (Wind speed, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1061_usn_tf59_2022_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1061_usn_tf59_2022_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1061_usn_tf59_2022/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1061_usn_tf59_2022.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1061_usn_tf59_2022&showErrors=false&email= Saildrone sd1061_usn_tf59_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/ (external link) 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/ (external link) 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/ (external link) 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/sd1030_tpos_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_tpos_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1030_tpos_2023.graph Saildrone 2023 TPOS PMEL Surface Data, drone 1030 1. Test the use of USV in the tropical Pacific ~155W. 2. Formalize new collaborative partnership for potential fisheries applications focusing on the biomass echosounder data from a transect along 155W. 3. Develop more adaptive sampling techniques that could be incorporated into TPOS.\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/sd1030_tpos_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1030_tpos_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1030_tpos_2023/index.htmlTable http://pmel.noaa.gov (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1030_tpos_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1030_tpos_2023&showErrors=false&email= NOAA/PMEL sd1030_tpos_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2023.graph Saildrone 2023 TPOS PMEL Surface Data, drone 1033 1. Test the use of USV in the tropical Pacific ~155W. 2. Formalize new collaborative partnership for potential fisheries applications focusing on the biomass echosounder data from a transect along 155W. 3. Develop more adaptive sampling techniques that could be incorporated into TPOS.\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/sd1033_tpos_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1033_tpos_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1033_tpos_2023/index.htmlTable http://pmel.noaa.gov (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1033_tpos_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2023&showErrors=false&email= NOAA/PMEL sd1033_tpos_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1079_tpos_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1079_tpos_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1079_tpos_2023.graph Saildrone 2023 TPOS PMEL Surface Data, drone 1079 1. Test the use of USV in the tropical Pacific ~155W. 2. Formalize new collaborative partnership for potential fisheries applications focusing on the biomass echosounder data from a transect along 155W. 3. Develop more adaptive sampling techniques that could be incorporated into TPOS.\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/sd1079_tpos_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1079_tpos_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1079_tpos_2023/index.htmlTable http://pmel.noaa.gov (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1079_tpos_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1079_tpos_2023&showErrors=false&email= NOAA/PMEL sd1079_tpos_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1030_lagoon.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1030_lagoon https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1030_lagoon.graph Saildrone Arctic 2021 OCS Single Beam NRT ASVCO2 Sea Trial drone 1030 lagoon_testing. Saildrone data from a local source.\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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\nWING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)\nWING_ROLL_FILTERED_PEAK (Wing roll one minute peak, degree)\n... (78 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd_1030_lagoon_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd_1030_lagoon_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd_1030_lagoon/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd_1030_lagoon.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd_1030_lagoon&showErrors=false&email= Saildrone sd_1030_lagoon
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1067_lagoon.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1067_lagoon https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_1067_lagoon.graph Saildrone Arctic 2021 OCS Single Beam NRT ASVCO2 Sea Trial drone 1067 lagoon_testing. Saildrone data from a local source.\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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\nWING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)\nWING_ROLL_FILTERED_PEAK (Wing roll one minute peak, degree)\n... (78 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd_1067_lagoon_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd_1067_lagoon_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd_1067_lagoon/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd_1067_lagoon.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd_1067_lagoon&showErrors=false&email= Saildrone sd_1067_lagoon
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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/sd_shakedown_collection.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_shakedown_collection https://data.pmel.noaa.gov/generic/erddap/tabledap/sd_shakedown_collection.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial all drones Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd_shakedown_collection_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd_shakedown_collection_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd_shakedown_collection/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd_shakedown_collection.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd_shakedown_collection&showErrors=false&email= Saildrone sd_shakedown_collection
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1089 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1089_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1089_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1089_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1089_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1089_shakedown&showErrors=false&email= Saildrone sd1089_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1090 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1090_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1090_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1090_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1090_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1090_shakedown&showErrors=false&email= Saildrone sd1090_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1091 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1091_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1091_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1091_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1091_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1091_shakedown&showErrors=false&email= Saildrone sd1091_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_shakedown.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_shakedown https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1092_shakedown.graph Saildrone ECMWF Atlantic Gulf Stream 2021-2022 Sea Trial drone 1092 Sea trial of Saildrone Explorer USVs in the Bay Area in preparation for the European Centre for Medium-Range Weather Forecasts (ECMWF) Atlantic Gulf Stream 2021-2022 mission. Purpose of seal trial is to check onboard systems and sensors prior to shipment and mission start.\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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (76 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1092_shakedown_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1092_shakedown_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1092_shakedown/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1092_shakedown.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1092_shakedown&showErrors=false&email= Saildrone sd1092_shakedown
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1031_hurricane_2021 https://data.pmel.noaa.gov/generic/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, 1)\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://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1031_hurricane_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1031_hurricane_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1031_hurricane_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1031_hurricane_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2021&showErrors=false&email= Saildrone sd1031_hurricane_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_hurricane_2021 https://data.pmel.noaa.gov/generic/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, 1)\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://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1040_hurricane_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1040_hurricane_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1040_hurricane_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1040_hurricane_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2021&showErrors=false&email= Saildrone sd1040_hurricane_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1045_hurricane_2021 https://data.pmel.noaa.gov/generic/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, 1)\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://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1045_hurricane_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1045_hurricane_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1045_hurricane_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1045_hurricane_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1045_hurricane_2021&showErrors=false&email= Saildrone sd1045_hurricane_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_hurricane_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1048_hurricane_2021 https://data.pmel.noaa.gov/generic/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, 1)\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://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1048_hurricane_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1048_hurricane_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1048_hurricane_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1048_hurricane_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1048_hurricane_2021&showErrors=false&email= Saildrone sd1048_hurricane_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_hurricane_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_hurricane_2021 https://data.pmel.noaa.gov/generic/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, 1)\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://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1060_hurricane_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1060_hurricane_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1060_hurricane_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1060_hurricane_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1060_hurricane_2021&showErrors=false&email= Saildrone sd1060_hurricane_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_sochic_test.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_sochic_test https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1067_sochic_test.graph Saildrone SOCHIC NRT ASVCO2  Validation drone 1067 In shop testing of gen2 OCS CO2 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)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\nWING_ROLL_FILTERED_STDDEV (Wing roll one minute stddev, degree)\nWING_ROLL_FILTERED_PEAK (Wing roll one minute peak, degree)\n... (74 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1067_sochic_test_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1067_sochic_test_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1067_sochic_test/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1067_sochic_test.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1067_sochic_test&showErrors=false&email= Saildrone sd1067_sochic_test
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_hawaii_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_hawaii_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1089_hawaii_2023.graph University of Hawaii Ocean Chemistry 2023 NRT Data, drone 1089 Measure METOC and CO2 data in and around in the entire Hawaiian Island chain of all 8 islands.\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/sd1089_hawaii_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1089_hawaii_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1089_hawaii_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1089_hawaii_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1089_hawaii_2023&showErrors=false&email= Saildrone sd1089_hawaii_2023
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_hawaii_2023.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_hawaii_2023 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1090_hawaii_2023.graph University of Hawaii Ocean Chemistry 2023 NRT Data, drone 1090 Measure METOC and CO2 data in and around in the entire Hawaiian Island chain of all 8 islands.\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/sd1090_hawaii_2023_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1090_hawaii_2023_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1090_hawaii_2023/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1090_hawaii_2023.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1090_hawaii_2023&showErrors=false&email= Saildrone sd1090_hawaii_2023

 
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