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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://data.pmel.noaa.gov/generic/erddap/tabledap/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/icoads_arctic_subset_1990.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990 | https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990.graph | International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Arctic Subset from 1990 - 1999 | This file contains ICOADS R3.0.0 data in netCDF4 format collected from 1999-12-01T00:00:00Z to 1999-12-31T23:58:47Z. The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) offers surface marine data spanning the past three centuries, and simple gridded monthly summary products for 2-degree latitude x 2-degree longitude boxes back to 1800 (and 1degreex1degree boxes since 1960)--these data and products are freely distributed worldwide. As it contains observations from many different observing systems encompassing the evolution of measurement technology over hundreds of years, ICOADS is probably the most complete and heterogeneous collection of surface marine data in existence.\n\ncdm_data_type = Point\nVARIABLES:\nrow\ntime (seconds since 1970-01-01T00:00:00Z)\ndate (date in YYYYMMDD)\ncrs\nHR (Hour)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTI (Time Indicator)\nLI (Latitude Longitude Indicator)\nDS (Ship's Course)\nVS (Ship's Speed)\nNID\nII (Identification Indicator)\nID (Identification)\nC1 (Country Code)\nDI (Wind Direction Indicator)\nD (Wind Direction, degrees)\nWI (Wind Speed Indicator)\nW (Wind Speed , m/s)\nVI (Visibility Indicator)\n... (185 more variables)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/icoads_arctic_subset_1990_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/icoads_arctic_subset_1990_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/icoads_arctic_subset_1990/index.htmlTable | http://rda.ucar.edu/datasets/ds548.0/docs/R3.0-citation.pdf
| https://data.pmel.noaa.gov/generic/erddap/rss/icoads_arctic_subset_1990.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=icoads_arctic_subset_1990&showErrors=false&email= | NCEI, NOAA | icoads_arctic_subset_1990 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021.graph | Saildrone 2021 TPOS PMEL NRT Surface Data, drone 1065 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2021. These USVs were equipped with ADCPs, and other metocean sensors and sailed south to the equator to perform inter-comparisons with the Tropical Atmosphere/Ocean (TAO) moorings.\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_tpos_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_tpos_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1065_tpos_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_tpos_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_tpos_2021&showErrors=false&email= | Saildrone | sd1065_tpos_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_tpos_2021.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_tpos_2021 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_tpos_2021.graph | Saildrone 2021 TPOS PMEL NRT Surface Data, drone 1066 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2021. These USVs were equipped with ADCPs, and other metocean sensors and sailed south to the equator to perform inter-comparisons with the Tropical Atmosphere/Ocean (TAO) moorings.\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1066_tpos_2021_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1066_tpos_2021_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1066_tpos_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1066_tpos_2021.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1066_tpos_2021&showErrors=false&email= | Saildrone | sd1066_tpos_2021 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts.graph | Saildrone 2022 TPOS PMEL NRT Surface Data, drone 1033 | The primary goal of this study will be to collect research quality air-sea interaction observations in the eastern tropical Pacific that could help satellite validation, model development, model and satellite measurement validation, or be used to constrain models. The second goal of the study is to develop adaptive sampling techniques that could be used as part of the TPOS backbone.\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/sd1033_tpos_2022_gts_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1033_tpos_2022_gts_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1033_tpos_2022_gts/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1033_tpos_2022_gts.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2022_gts&showErrors=false&email= | Saildrone | sd1033_tpos_2022_gts | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1052_tpos_2022_gts.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1052_tpos_2022_gts | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1052_tpos_2022_gts.graph | Saildrone 2022 TPOS PMEL NRT Surface Data. drone 1052 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2022. These USVs were equipped with ADCPs, and other metocean sensors and sailed south to the equator to perform inter-comparisons with the Tropical Atmosphere/Ocean (TAO) moorings.\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/sd1052_tpos_2022_gts_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1052_tpos_2022_gts_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1052_tpos_2022_gts/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1052_tpos_2022_gts.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1052_tpos_2022_gts&showErrors=false&email= | NOAA PMEL | sd1052_tpos_2022_gts | |||
| 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
| 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
| 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
| 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/saildrone_arctic_gts.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/saildrone_arctic_gts | https://data.pmel.noaa.gov/generic/erddap/tabledap/saildrone_arctic_gts.graph | Saildrone Arctic Data for GTS | Arctic 2019 Mission. Saildrone data from a local source.\n\ncdm_data_type = Trajectory\nVARIABLES:\nwmo_platform_code\ntrajectory (Trajectory/Drone ID)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_CTD_MEAN (Seawater temperature, degree_C)\nwind_speed (m s-1)\nwind_dir (Wind direction, From, degrees)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/saildrone_arctic_gts_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/saildrone_arctic_gts_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/saildrone_arctic_gts/index.htmlTable | http://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/saildrone_arctic_gts.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=saildrone_arctic_gts&showErrors=false&email= | Saildrone | saildrone_arctic_gts | |||
| 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/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/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/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/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/
| 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/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/
| 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/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/
| 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/
| 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 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_hawaii_2023.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_hawaii_2023 | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1091_hawaii_2023.graph | University of Hawaii Ocean Chemistry 2023 NRT Data, drone 1091 | 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)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1091_hawaii_2023_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1091_hawaii_2023_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1091_hawaii_2023/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1091_hawaii_2023.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1091_hawaii_2023&showErrors=false&email= | Saildrone | sd1091_hawaii_2023 | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_wmo_test.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_wmo_test | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1040_wmo_test.graph | WMO data distribution test, 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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1040_wmo_test_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1040_wmo_test_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1040_wmo_test/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1040_wmo_test.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1040_wmo_test&showErrors=false&email= | Saildrone | sd1040_wmo_test | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_wmo_test.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_wmo_test | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1060_wmo_test.graph | WMO data distribution test, 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)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1060_wmo_test_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1060_wmo_test_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1060_wmo_test/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1060_wmo_test.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1060_wmo_test&showErrors=false&email= | Saildrone | sd1060_wmo_test | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test.graph | WMO data distribution test, drone 1065 | Testing data distribution of Saildrone dron 1065 data to support WIS 2.0 pilot project\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_wmo_test_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_wmo_test_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1065_wmo_test/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_wmo_test.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_wmo_test&showErrors=false&email= | NOAA/PMEL | sd1065_wmo_test | |||
| https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_wmo_test.subset | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_wmo_test | https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1066_wmo_test.graph | WMO data distribution test, drone 1066 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2021. These USVs were equipped with ADCPs, and other metocean sensors and sailed south to the equator to perform inter-comparisons with the Tropical Atmosphere/Ocean (TAO) moorings.\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n | https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1066_wmo_test_fgdc.xml | https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1066_wmo_test_iso19115.xml | https://data.pmel.noaa.gov/generic/erddap/info/sd1066_wmo_test/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/generic/erddap/rss/sd1066_wmo_test.rss | https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1066_wmo_test&showErrors=false&email= | Saildrone | sd1066_wmo_test |