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Brought to you by NOAA NMFS SWFSC ERD
|
ERDDAP
Easier access to scientific data |
Brought to you by NOAA NMFS SWFSC ERD |
| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | Saildrone 2022 NOAA SWFSC mission NRT collection | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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... (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 | https://saildrone.com/
| 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= | Saildrone | 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 | Saildrone 2022 NOAA SWFSC Survey NRT, drone 1076 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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... (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 | https://saildrone.com/
| 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= | Saildrone | 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 | Saildrone 2022 NOAA SWFSC Survey NRT, drone 1077 | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\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... (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 | https://saildrone.com/
| 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= | Saildrone | 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 | Saildrone 2023 NOAA SWFSC NRT Data collection | The National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) is investigating the use of advanced technologies to increase our understanding of marine ecosystems, to improve operational efficiencies, improve mission safety, and potentially reduce operational costs. Use of Unmanned Surface Vehicles (USV) to conduct surveys is one such advanced technology being considered. New methods are compared to standard methods in order to validate that results are comparable or better than the current standard methods. A secondary objective is to provide more survey coverage to supplement NOAA research vessel coverage.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\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... (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 | https://saildrone.com/
| 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= | Saildrone | 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 | Saildrone 2023 NOAA SWFSC NRT Data, drone 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:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\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... (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 | https://saildrone.com/
| 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= | Saildrone | 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 | Saildrone 2023 NOAA SWFSC NRT Data, drone 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:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\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... (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 | https://saildrone.com/
| 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= | Saildrone | 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 | Saildrone 2023 NOAA SWFSC NRT Data, drone 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:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\ntime (seconds since 1970-01-01T00:00:00Z)\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... (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 | https://saildrone.com/
| 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= | Saildrone | sd1096_swfsc_2023 | |||
| 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 | Saildrone PMEL TPOS 2017 Mission, drone 1005 | This file contains the 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). These data have not been Quality Control (QC)�d. This was the first of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/GOMO 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:\ntrajectory (Trajectory/Drone ID)\nlatitude (degrees_north)\ntime (seconds since 1970-01-01T00:00:00Z)\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)\nLW_IRRAD_MEAN (Longwave downwelling radiation, W m-2)\nCDOM_MEAN (CDOM concentration, ppb)\n... (49 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 | https://www.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 | Saildrone PMEL TPOS 2017 Mission, drone 1006 | This file contains the 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). These data have not been Quality Control (QC)�d. This was the first of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/GOMO 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:\ntrajectory (Trajectory/Drone ID)\nlatitude (degrees_north)\ntime (seconds since 1970-01-01T00:00:00Z)\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)\nLW_IRRAD_MEAN (Longwave downwelling radiation, W m-2)\nCDOM_MEAN (CDOM concentration, ppb)\n... (49 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 | http://saildrone.com/
| 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 | Saildrone PMEL TPOS 2018 Mission, drone 1005 | This file contains the 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). These data have not been Quality Control (QC)�d. This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/GOMO 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:\ntrajectory (Trajectory/Drone ID)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\n... (48 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 | https://www.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 | Saildrone PMEL TPOS 2018 Mission, drone 1006 | This file contains the 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). These data have not been Quality Control (QC)�d. This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/GOMO 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:\ntrajectory (Trajectory/Drone ID)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSOG (Speed over ground, m s-1)\n... (48 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 | https://www.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 |