NOAA PMEL Easy Access to PMEL Scientific Data
The Pacific Marine Environmental Laboratory's ERDDAP data server for public access to scientific data 		?    
NOAA OAR PMEL    
 
 
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/pmel/erddap/tabledap/sd1030_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1030_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1030_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1030 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN\nSOG_FILTERED_STDDEV\nSOG_FILTERED_MAX\nSOG_FILTERED_MIN\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN\nCOG_FILTERED_STDDEV\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN\nHDG_FILTERED_STDDEV\nROLL_FILTERED_MEAN\nROLL_FILTERED_STDDEV\nROLL_FILTERED_PEAK\nPITCH_FILTERED_MEAN\nPITCH_FILTERED_STDDEV\nPITCH_FILTERED_PEAK\n... (61 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1030_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1030_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1030_hurricane_2024/index.htmlTable saildrone.com, aoml.noaa.gov, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1030_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1030_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1030_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1031_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1031_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1031 (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:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (57 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1031_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1031_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1031_hurricane_2024/index.htmlTable saildrone.com, aoml.noaa.gov, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1031_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1031_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1031_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1036_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1036_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1036_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1036 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (57 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1036_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1036_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1036_hurricane_2024/index.htmlTable saildrone.com, aoml.noaa.gov, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1036_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1036_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1036_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1040_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1040_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1040_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1040 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN\nSOG_FILTERED_STDDEV\nSOG_FILTERED_MAX\nSOG_FILTERED_MIN\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN\nCOG_FILTERED_STDDEV\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN\nHDG_FILTERED_STDDEV\nROLL_FILTERED_MEAN\nROLL_FILTERED_STDDEV\nROLL_FILTERED_PEAK\nPITCH_FILTERED_MEAN\nPITCH_FILTERED_STDDEV\nPITCH_FILTERED_PEAK\n... (61 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1040_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1040_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1040_hurricane_2024/index.htmlTable saildrone.com, aoml.noaa.gov, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1040_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1040_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1040_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1041_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1041_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1041_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1041 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN\nSOG_FILTERED_STDDEV\nSOG_FILTERED_MAX\nSOG_FILTERED_MIN\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN\nCOG_FILTERED_STDDEV\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN\nHDG_FILTERED_STDDEV\nROLL_FILTERED_MEAN\nROLL_FILTERED_STDDEV\nROLL_FILTERED_PEAK\nPITCH_FILTERED_MEAN\nPITCH_FILTERED_STDDEV\nPITCH_FILTERED_PEAK\n... (57 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1041_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1041_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1041_hurricane_2024/index.htmlTable saildrone.com; pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1041_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1041_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1041_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1042_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1042_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1042_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1042 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN\nSOG_FILTERED_STDDEV\nSOG_FILTERED_MAX\nSOG_FILTERED_MIN\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN\nCOG_FILTERED_STDDEV\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN\nHDG_FILTERED_STDDEV\nROLL_FILTERED_MEAN\nROLL_FILTERED_STDDEV\nROLL_FILTERED_PEAK\nPITCH_FILTERED_MEAN\nPITCH_FILTERED_STDDEV\nPITCH_FILTERED_PEAK\n... (57 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1042_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1042_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1042_hurricane_2024/index.htmlTable saildrone.com; pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1042_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1042_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1042_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1045_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1045_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1045_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1045 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (57 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1045_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1045_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1045_hurricane_2024/index.htmlTable saildrone.com, aoml.noaa.gov, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1045_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1045_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1045_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1057_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1057_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1057_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1057 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN\nSOG_FILTERED_STDDEV\nSOG_FILTERED_MAX\nSOG_FILTERED_MIN\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN\nCOG_FILTERED_STDDEV\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN\nHDG_FILTERED_STDDEV\nROLL_FILTERED_MEAN\nROLL_FILTERED_STDDEV\nROLL_FILTERED_PEAK\nPITCH_FILTERED_MEAN\nPITCH_FILTERED_STDDEV\nPITCH_FILTERED_PEAK\n... (57 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1057_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1057_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1057_hurricane_2024/index.htmlTable saildrone.com, aoml.noaa.gov, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1057_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1057_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1057_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1068_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1068_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1068_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1068 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN\nSOG_FILTERED_STDDEV\nSOG_FILTERED_MAX\nSOG_FILTERED_MIN\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN\nCOG_FILTERED_STDDEV\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN\nHDG_FILTERED_STDDEV\nROLL_FILTERED_MEAN\nROLL_FILTERED_STDDEV\nROLL_FILTERED_PEAK\nPITCH_FILTERED_MEAN\nPITCH_FILTERED_STDDEV\nPITCH_FILTERED_PEAK\n... (71 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1068_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1068_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1068_hurricane_2024/index.htmlTable saildrone.com, aoml.noaa.gov, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1068_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1068_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1068_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1069_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1069_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1069_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1069 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (57 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1069_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1069_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1069_hurricane_2024/index.htmlTable saildrone.com, aoml.noaa.gov, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1069_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1069_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1069_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1083_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1083_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1083_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1083 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN\nSOG_FILTERED_STDDEV\nSOG_FILTERED_MAX\nSOG_FILTERED_MIN\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN\nCOG_FILTERED_STDDEV\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN\nHDG_FILTERED_STDDEV\nROLL_FILTERED_MEAN\nROLL_FILTERED_STDDEV\nROLL_FILTERED_PEAK\nPITCH_FILTERED_MEAN\nPITCH_FILTERED_STDDEV\nPITCH_FILTERED_PEAK\n... (57 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1083_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1083_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1083_hurricane_2024/index.htmlTable saildrone.com, aoml.noaa.gov, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1083_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1083_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1083_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1091_hurricane_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1091_hurricane_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1091_hurricane_2024.graph NOAA AOML PMEL Hurricane Monitoring 2024 Saildrone 1091 (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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN\nSOG_FILTERED_STDDEV\nSOG_FILTERED_MAX\nSOG_FILTERED_MIN\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN\nCOG_FILTERED_STDDEV\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN\nHDG_FILTERED_STDDEV\nROLL_FILTERED_MEAN\nROLL_FILTERED_STDDEV\nROLL_FILTERED_PEAK\nPITCH_FILTERED_MEAN\nPITCH_FILTERED_STDDEV\nPITCH_FILTERED_PEAK\n... (57 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1091_hurricane_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1091_hurricane_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1091_hurricane_2024/index.htmlTable saildrone.com, aoml.noaa.gov, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1091_hurricane_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1091_hurricane_2024&showErrors=false&email= NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL sd1091_hurricane_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2017.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2017 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2017.graph NOAA PMEL TPOS 2017 NRT Saildrone 1005 This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2017 Mission (Mission 1) to the eastern tropical Pacific (10N, 125W and 0, 125W). This was the first of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. The PMEL TPOS 2017 Mission (aka Mission 1) had two Gen-4 Saildrones, each with a full atmospheric and ocean core sensor suite, an Acoustic Doppler Current Profiler (ADCP), and an ASVCO2 carbon flux and pH system. The two drones were deployed out of Alameda, CA on September 1, 2017 for a mission in the equatorial Pacific.  After sailing near the CCE1 mooring off coastal California, the drones proceeded to the area near 10N, 125W.  They remained in the area from October 18 - November 13, 2017 to participate in the Salinity Processes in the Upper Ocean Regional Study (SPURS)-2 field study, which included side-by-side data acquisition with a Woods Hole Oceanographic Institution (WHOI) buoy, and the R/V REVELLE.  When SPURS-2 ended, the drones sailed south on either side of 125W, stopping for comparisons against Tropical Atmosphere/Ocean (TAO) moorings at 8N, 5N, and 2N.  After crossing the equator, the drones returned to California.  SD-1005 was recovered in San Luis Obispo Bay on May 6, 2018.  SD-1006 was recovered from San Francisco Bay on May 18, 2018.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nTEMP_O2_STDDEV (Seawater temperature SD, degree_C)\nSW_UNMASKED_IRRAD_CENTER_MEAN (Shortwave total radiation measured by unmasked center detector, W m-2)\nCHLOR_MEAN (Chlorophyll concentration, microgram L-1)\nRH_MEAN (Relative humidity, percent)\nRH_QC (quality flag)\nRH_DM (data mode)\n... (56 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1005_2017_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1005_2017_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1005_2017/index.htmlTable saildrone.com, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1005_2017.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1005_2017&showErrors=false&email= NOAA PMEL sd1005_2017
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2017.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2017 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2017.graph NOAA PMEL TPOS 2017 NRT Saildrone 1006 This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2017 Mission (Mission 1) to the eastern tropical Pacific (10N, 125W and 0, 125W). This was the first of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. The PMEL TPOS 2017 Mission (aka Mission 1) had two Gen-4 Saildrones, each with a full atmospheric and ocean core sensor suite, an Acoustic Doppler Current Profiler (ADCP), and an ASVCO2 carbon flux and pH system. The two drones were deployed out of Alameda, CA on September 1, 2017 for a mission in the equatorial Pacific.  After sailing near the CCE1 mooring off coastal California, the drones proceeded to the area near 10N, 125W.  They remained in the area from October 18 - November 13, 2017 to participate in the Salinity Processes in the Upper Ocean Regional Study (SPURS)-2 field study, which included side-by-side data acquisition with a Woods Hole Oceanographic Institution (WHOI) buoy, and the R/V REVELLE.  When SPURS-2 ended, the drones sailed south on either side of 125W, stopping for comparisons against Tropical Atmosphere/Ocean (TAO) moorings at 8N, 5N, and 2N.  After crossing the equator, the drones returned to California.  SD-1005 was recovered in San Luis Obispo Bay on May 6, 2018.  SD-1006 was recovered from San Francisco Bay on May 18, 2018.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nTEMP_O2_STDDEV (Seawater temperature SD, degree_C)\nSW_UNMASKED_IRRAD_CENTER_MEAN (Shortwave total radiation measured by unmasked center detector, W m-2)\nCHLOR_MEAN (Chlorophyll concentration, microgram L-1)\nRH_MEAN (Relative humidity, percent)\nRH_QC (quality flag)\nRH_DM (data mode)\n... (56 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1006_2017_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1006_2017_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1006_2017/index.htmlTable saildrone.com, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1006_2017.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1006_2017&showErrors=false&email= NOAA PMEL sd1006_2017
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2018.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2018 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1005_2018.graph NOAA PMEL TPOS 2018 NRT Saildrone 1005 This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work.  The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W.  Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nlatitude_QC (quality flag, degrees_north)\n... (60 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1005_2018_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1005_2018_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1005_2018/index.htmlTable saildrone.com, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1005_2018.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1005_2018&showErrors=false&email= NOAA PMEL sd1005_2018
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2018.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2018 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1006_2018.graph NOAA PMEL TPOS 2018 NRT Saildrone 1006 This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work.  The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W.  Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nlatitude_QC (quality flag, degrees_north)\n... (60 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1006_2018_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1006_2018_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1006_2018/index.htmlTable saildrone.com, pmel.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1006_2018.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1006_2018&showErrors=false&email= NOAA PMEL sd1006_2018
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1033_tpos_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1033_tpos_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1033_tpos_2024.graph NOAA PMEL TPOS 2024 Saildrone 1033 This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) Tropical Pacific Observing System (TPOS) 2024 Mission (Mission 7) to the central tropical Pacific. The mission started on Oct 30, 2024 with a transect along the 125°W meridian from 10°N to 6°N, where the USVs then caught favorable currents to intercept the National Science Foundation (NSF)-funded Mixing belOw Tropical Instability waVEs (MOTIVE) cruise near 1°N 138°W.  The MOTIVE cruise featured a drifting array of University of Washington (UW) Applied Physics Laboratory (APL) Wirewalkers and a UW profiling glider (glider PI: Katie Kohlman (UW School of Oceanography)), against which the Saildrones conducted a coordinated frontal study (Nov 22 - 26, 2024). For more information on the MOTIVE cruise, see https://www.polarsteps.com/AnnaAndTheWater/14669345-motive-cruise-i. An upwelling experiment and Tropical Atmosphere/Ocean (TAO) intercomparison at 0°N 140°W was also performed (Dec 2 - 5) before the drones were swept westward by stronger-than-usual equatorial currents associated with the La Niña. Additional scientific objectives accomplished included observations of convective cold pool events, sharp fronts of submeso- and meso-scale processes within Tropical Instability Waves, and a return to the 140°W meridian leveraging North Equatorial Countercurrent (NECC) under the Inter-Tropical Convergence Zone (ITCZ).  This mission was supported through the NOAA OMAO Uncrewed Systems Operation Center (UxSOC) funded project titled \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System\", which follows the implementation strategy laid out by the Uncrewed Marine Systems (UMS) 2022 \"Research to Operations - Component Service Transition Plan Volume 1-C\".  The PIs and mission managers were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Yolande Serra (UW CICOES), and Dr. Elizabeth McGeorge (UW CICOES). Other PIs for this mission include: Dr. Adrienne Sutton (NOAA PMEL) for ASVCO2 measurements, Eugene Burger (NOAA PMEL) for data stream issues, Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC)) for fisheries applications (note: there was no EK80 deployed during this mission), Ian Sears and Stephanie Ray (both at NOAA National Data Buoy Center (NDBC)) for coordination with NDBC TPOS components, and Drs. Arun Kumar and Jieshun Zhu (both at NOAA National Centers for Environmental Prediction (NCEP)) for operational weather, climate and ocean applications. In addition to being part of the mission management team, Mr. Nathan Anderson worked with Ms. Ellen Koukel (both of UW CICOES) on the metadata creation and data archiving.  The PMEL TPOS 2024 Mission (aka Mission 7) had two Saildrones: SD1033 and SD1090.  Both were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system.  Both were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file). The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors nominally located at 0.33m, 0.75m, and 1.03m.  All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer (on a standalone data logger and processed separately).  Carbon system data (including the CTD data) are also served through a separate file. The vehicles for the 2024 mission were deployed out of Alameda, CA, arriving on station (10°N 125°W) to initiate the mission on 30 Oct 2024. The 98-day mission was terminated 4 Feb 2025 after anemometers failed on both SD1090 (Jan 15) and SD1033 (Jan 18).\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (80 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1033_tpos_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1033_tpos_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1033_tpos_2024/index.htmlTable https://www.pmel.noaa.gov/ocs/saildrone; (external link) https://data.pmel.noaa.gov/pmel/erddap/rss/sd1033_tpos_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2024&showErrors=false&email= NOAA/PMEL sd1033_tpos_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1090_tpos_2024.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1090_tpos_2024 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1090_tpos_2024.graph NOAA PMEL TPOS 2024 Saildrone 1090 This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) Tropical Pacific Observing System (TPOS) 2024 Mission (Mission 7) to the central tropical Pacific. The mission started on Oct 30, 2024 with a transect along the 125°W meridian from 10°N to 6°N, where the USVs then caught favorable currents to intercept the National Science Foundation (NSF)-funded Mixing belOw Tropical Instability waVEs (MOTIVE) cruise near 1°N 138°W.  The MOTIVE cruise featured a drifting array of University of Washington (UW) Applied Physics Laboratory (APL) Wirewalkers and a UW profiling glider (glider PI: Katie Kohlman (UW School of Oceanography)), against which the Saildrones conducted a coordinated frontal study (Nov 22 - 26, 2024). For more information on the MOTIVE cruise, see https://www.polarsteps.com/AnnaAndTheWater/14669345-motive-cruise-i. An upwelling experiment and Tropical Atmosphere/Ocean (TAO) intercomparison at 0°N 140°W was also performed (Dec 2 - 5) before the drones were swept westward by stronger-than-usual equatorial currents associated with the La Niña. Additional scientific objectives accomplished included observations of convective cold pool events, sharp fronts of submeso- and meso-scale processes within Tropical Instability Waves, and a return to the 140°W meridian leveraging North Equatorial Countercurrent (NECC) under the Inter-Tropical Convergence Zone (ITCZ).  This mission was supported through the NOAA OMAO Uncrewed Systems Operation Center (UxSOC) funded project titled \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System\", which follows the implementation strategy laid out by the Uncrewed Marine Systems (UMS) 2022 \"Research to Operations - Component Service Transition Plan Volume 1-C\".  The PIs and mission managers were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Yolande Serra (UW CICOES), and Dr. Elizabeth McGeorge (UW CICOES). Other PIs for this mission include: Dr. Adrienne Sutton (NOAA PMEL) for ASVCO2 measurements, Eugene Burger (NOAA PMEL) for data stream issues, Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC)) for fisheries applications (note: there was no EK80 deployed during this mission), Ian Sears and Stephanie Ray (both at NOAA National Data Buoy Center (NDBC)) for coordination with NDBC TPOS components, and Drs. Arun Kumar and Jieshun Zhu (both at NOAA National Centers for Environmental Prediction (NCEP)) for operational weather, climate and ocean applications. In addition to being part of the mission management team, Mr. Nathan Anderson worked with Ms. Ellen Koukel (both of UW CICOES) on the metadata creation and data archiving.  The PMEL TPOS 2024 Mission (aka Mission 7) had two Saildrones: SD1033 and SD1090.  Both were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system.  Both were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file). The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors nominally located at 0.33m, 0.75m, and 1.03m.  All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer (on a standalone data logger and processed separately).  Carbon system data (including the CTD data) are also served through a separate file. The vehicles for the 2024 mission were deployed out of Alameda, CA, arriving on station (10°N 125°W) to initiate the mission on 30 Oct 2024. The 98-day mission was terminated 4 Feb 2025 after anemometers failed on both SD1090 (Jan 15) and SD1033 (Jan 18).\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (80 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1090_tpos_2024_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1090_tpos_2024_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1090_tpos_2024/index.htmlTable https://www.pmel.noaa.gov/ocs/saildrone; (external link) https://data.pmel.noaa.gov/pmel/erddap/rss/sd1090_tpos_2024.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1090_tpos_2024&showErrors=false&email= NOAA/PMEL sd1090_tpos_2024
https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2022.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2022 https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2022.graph NOAA SWFSC 2022 Collection Saildrone The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (54 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/all_swfsc_2022_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/all_swfsc_2022_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/all_swfsc_2022/index.htmlTable saildrone.com, fisheries.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/all_swfsc_2022.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=all_swfsc_2022&showErrors=false&email= NOAA Southwest Fisheries Science Center all_swfsc_2022
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1076_swfsc_2022.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1076_swfsc_2022 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1076_swfsc_2022.graph NOAA SWFSC 2022 Saildrone 1076 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (54 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1076_swfsc_2022_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1076_swfsc_2022_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1076_swfsc_2022/index.htmlTable saildrone.com, fisheries.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1076_swfsc_2022.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1076_swfsc_2022&showErrors=false&email= NOAA Southwest Fisheries Science Center sd1076_swfsc_2022
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1077_swfsc_2022.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1077_swfsc_2022 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1077_swfsc_2022.graph NOAA SWFSC 2022 Saildrone 1077 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (54 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1077_swfsc_2022_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1077_swfsc_2022_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1077_swfsc_2022/index.htmlTable saildrone.com, fisheries.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1077_swfsc_2022.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1077_swfsc_2022&showErrors=false&email= NOAA Southwest Fisheries Science Center sd1077_swfsc_2022
https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2023.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2023 https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2023.graph NOAA SWFSC 2023 Collection Saildrone The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (54 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/all_swfsc_2023_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/all_swfsc_2023_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/all_swfsc_2023/index.htmlTable saildrone.com, fisheries.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/all_swfsc_2023.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=all_swfsc_2023&showErrors=false&email= NOAA Southwest Fisheries Science Center all_swfsc_2023
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1048_swfsc_2023.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1048_swfsc_2023 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1048_swfsc_2023.graph NOAA SWFSC 2023 Saildrone 1048 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (54 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1048_swfsc_2023_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1048_swfsc_2023_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1048_swfsc_2023/index.htmlTable saildrone.com, fisheries.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1048_swfsc_2023.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1048_swfsc_2023&showErrors=false&email= NOAA Southwest Fisheries Science Center sd1048_swfsc_2023
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1060_swfsc_2023.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1060_swfsc_2023 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1060_swfsc_2023.graph NOAA SWFSC 2023 Saildrone 1060 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (54 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1060_swfsc_2023_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1060_swfsc_2023_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1060_swfsc_2023/index.htmlTable saildrone.com, fisheries.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1060_swfsc_2023.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1060_swfsc_2023&showErrors=false&email= NOAA Southwest Fisheries Science Center sd1060_swfsc_2023
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1096_swfsc_2023.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1096_swfsc_2023 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1096_swfsc_2023.graph NOAA SWFSC 2023 Saildrone 1096 The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\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)\n... (54 more variables)\n https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1096_swfsc_2023_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1096_swfsc_2023_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1096_swfsc_2023/index.htmlTable saildrone.com, fisheries.noaa.gov https://data.pmel.noaa.gov/pmel/erddap/rss/sd1096_swfsc_2023.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1096_swfsc_2023&showErrors=false&email= NOAA Southwest Fisheries Science Center sd1096_swfsc_2023

 
ERDDAP, Version 2.18
Disclaimers | Privacy Policy | Contact