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ERDDAP
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griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
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https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2022.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2022 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2022.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2022/ | Saildrone Hurricane Monitoring 2022 NRT data | 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://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2022_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2022_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2022/index.htmlTable | https://saildrone.com/![]() | https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2022.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2022&showErrors=false&email= | Saildrone | saildrones_2022 | ||
https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2023.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2023/ | Saildrone Hurricane Monitoring 2023 NRT data | 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)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2023/index.htmlTable | https://saildrone.com/![]() | https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2023&showErrors=false&email= | Saildrone | saildrones_2023 | ||
https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2024.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2024 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2024.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2024/ | Saildrone Hurricane Monitoring 2024 NRT data | (1) Real-time steering of USVs toward tropical cyclones and other strong low-pressure systems, based on forecasted tracks and the knowledge and experience gained from the 2021-2023 hurricane missions (2) Continuing to evolve and refine the practice of coordinating USVs and underwater gliders, small uncrewed aerial systems, and other air-deployed or pre-existing instruments (3) Observations of air-sea interactions ahead of, inside, and after hurricanes (4) Provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems (5) Near-real time validations of forecast model initialization and output\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://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2024_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2024_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2024/index.htmlTable | https://saildrone.com/![]() | https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2024.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2024&showErrors=false&email= | NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL | saildrones_2024 |