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| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1033_2019.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1033_2019 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1033_2019.graph | https://data.pmel.noaa.gov/pmel/erddap/files/sd1033_2019/ | NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1033 | Six saildrones (sd-1033, sd-1034, sd-1035, sd-1036, sd-1037 and sd-1041) - remotely piloted, solar- and wind-powered unoccupied surface vehicles (USVs) - were launched near Dutch Harbor, Alaska, USA (53.95�N, 166.50�W) into the Bering Sea on 15 May 2019. This 2019 Arctic Saildrone Mission was a joint effort betweenNOAA�s Pacific Marine Environmental Laboratory (PMEL) and Alaska Fisheries Science Center (AFSC), the NOAA/University of Washington Joint Institute for the Study of the Ocean and Atmosphere (Joint Institue for the Study of Atmoshere and Ocean (JISAO)), and the National Ocean Partnership Program (NOPP) Arctic MISST (Multi-sensor Improved Sea Surface Temperature) study. The overall mission objective was to measure atmospheric, oceanographic, fishery and fur seal conditions in the US arctic. One USV (sd-1041) remained in the Bering Sea measuring fish acoustic backscatter and conducting focal follows of threatened fur seals for AFSC. Five saildrones transited Bering Strait into the Chukchi Sea. One of those (sd-1033) surveyed lines in Distributed Biological Observatories (DBO) 1-5. The remaining four (PMEL sd-1034, sd-1035 and MISST sd-1036, sd-1037) ran transects in the Chukchi Sea and approached the southern sea ice edge in the Arctic Ocean up to ~75�N to measure air-sea heat and momentum flux near sea ice and to validate satellite sea-surface temperature measurements in the arctic. Each saildrone was equipped to measure solar irradiance, air temperature and relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Four cameras aboard each USV imaged up, down, port and starboard of the wing. Saildrones sd-1033 and sd-1034 had Autonomous Surface Vehicle CO2 (ASVCO2) systems measuring seawater pH, temperature, salinity and partial pressure of carbon dioxide (pCO2). Vehicles sd-1033, sd-1034, sd-1035, sd-1036 and sd-1037 measured near surface currents with 300 kHz acoustic Doppler current profilers (ADCP). Sd-1041 carried Simrad WBT Mini and ES38-18/200-18C fisheries echosounders. There were about two dozen encounters with free-floating sea ice between the four Chukchi Sea/Arctic Ocean saildrones. Sd-1035 was caught in sea ice and rendered barely maneuverable with rudder damage about 24 August. Its mission ended early on 10 September after which it was towed into Point Barrow. The remaining saildrones sampled Bering Sea transects and returned to Dutch Harbor on 11 October after sailing side-by-side for a few hours on an end-of-mission comparison. Other supporting measurements were made during this mission. The PMEL/WHOI/JISAO Arctic Heat Open Science Experiment dropped AXBTs on 16-22 July. USCGC Healy met sd-1033 on 11 August for a pCO2 cross-calibration. Sd-1034 and sd-1035 sailed near the sites of periodic surfacings of Marine Robotic Vehicles (MRV) Air-Launched Autonomous Micro-Observer (ALAMO) float 9234. Sd-1036 followed a University of Washington Applied Physics Lab Seaglider in a bow-tie pattern near 73N, 148W in August.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\n... (10 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1033_2019_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1033_2019_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1033_2019/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1033_2019.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1033_2019&showErrors=false&email= | NOAA/PMEL; NOAA/AFSC; University of Washington | sd1033_2019 | ||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1034_2019.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1034_2019 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1034_2019.graph | https://data.pmel.noaa.gov/pmel/erddap/files/sd1034_2019/ | NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1034 | Six saildrones (sd-1033, sd-1034, sd-1035, sd-1036, sd-1037 and sd-1041) - remotely piloted, solar- and wind-powered unoccupied surface vehicles (USVs) - were launched near Dutch Harbor, Alaska, USA (53.95�N, 166.50�W) into the Bering Sea on 15 May 2019. This 2019 Arctic Saildrone Mission was a joint effort betweenNOAA�s Pacific Marine Environmental Laboratory (PMEL) and Alaska Fisheries Science Center (AFSC), the NOAA/University of Washington Joint Institute for the Study of the Ocean and Atmosphere (Joint Institue for the Study of Atmoshere and Ocean (JISAO)), and the National Ocean Partnership Program (NOPP) Arctic MISST (Multi-sensor Improved Sea Surface Temperature) study. The overall mission objective was to measure atmospheric, oceanographic, fishery and fur seal conditions in the US arctic. One USV (sd-1041) remained in the Bering Sea measuring fish acoustic backscatter and conducting focal follows of threatened fur seals for AFSC. Five saildrones transited Bering Strait into the Chukchi Sea. One of those (sd-1033) surveyed lines in Distributed Biological Observatories (DBO) 1-5. The remaining four (PMEL sd-1034, sd-1035 and MISST sd-1036, sd-1037) ran transects in the Chukchi Sea and approached the southern sea ice edge in the Arctic Ocean up to ~75�N to measure air-sea heat and momentum flux near sea ice and to validate satellite sea-surface temperature measurements in the arctic. Each saildrone was equipped to measure solar irradiance, air temperature and relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Four cameras aboard each USV imaged up, down, port and starboard of the wing. Saildrones sd-1033 and sd-1034 had Autonomous Surface Vehicle CO2 (ASVCO2) systems measuring seawater pH, temperature, salinity and partial pressure of carbon dioxide (pCO2). Vehicles sd-1033, sd-1034, sd-1035, sd-1036 and sd-1037 measured near surface currents with 300 kHz acoustic Doppler current profilers (ADCP). Sd-1041 carried Simrad WBT Mini and ES38-18/200-18C fisheries echosounders. There were about two dozen encounters with free-floating sea ice between the four Chukchi Sea/Arctic Ocean saildrones. Sd-1035 was caught in sea ice and rendered barely maneuverable with rudder damage about 24 August. Its mission ended early on 10 September after which it was towed into Point Barrow. The remaining saildrones sampled Bering Sea transects and returned to Dutch Harbor on 11 October after sailing side-by-side for a few hours on an end-of-mission comparison. Other supporting measurements were made during this mission. The PMEL/WHOI/JISAO Arctic Heat Open Science Experiment dropped AXBTs on 16-22 July. USCGC Healy met sd-1033 on 11 August for a pCO2 cross-calibration. Sd-1034 and sd-1035 sailed near the sites of periodic surfacings of Marine Robotic Vehicles (MRV) Air-Launched Autonomous Micro-Observer (ALAMO) float 9234. Sd-1036 followed a University of Washington Applied Physics Lab Seaglider in a bow-tie pattern near 73N, 148W in August.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\n... (10 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1034_2019_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1034_2019_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1034_2019/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1034_2019.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1034_2019&showErrors=false&email= | NOAA/PMEL; NOAA/AFSC; University of Washington | sd1034_2019 | ||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1035_2019.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1035_2019 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1035_2019.graph | https://data.pmel.noaa.gov/pmel/erddap/files/sd1035_2019/ | NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1035 | Six saildrones (sd-1033, sd-1034, sd-1035, sd-1036, sd-1037 and sd-1041) - remotely piloted, solar- and wind-powered unoccupied surface vehicles (USVs) - were launched near Dutch Harbor, Alaska, USA (53.95�N, 166.50�W) into the Bering Sea on 15 May 2019. This 2019 Arctic Saildrone Mission was a joint effort betweenNOAA�s Pacific Marine Environmental Laboratory (PMEL) and Alaska Fisheries Science Center (AFSC), the NOAA/University of Washington Joint Institute for the Study of the Ocean and Atmosphere (Joint Institue for the Study of Atmoshere and Ocean (JISAO)), and the National Ocean Partnership Program (NOPP) Arctic MISST (Multi-sensor Improved Sea Surface Temperature) study. The overall mission objective was to measure atmospheric, oceanographic, fishery and fur seal conditions in the US arctic. One USV (sd-1041) remained in the Bering Sea measuring fish acoustic backscatter and conducting focal follows of threatened fur seals for AFSC. Five saildrones transited Bering Strait into the Chukchi Sea. One of those (sd-1033) surveyed lines in Distributed Biological Observatories (DBO) 1-5. The remaining four (PMEL sd-1034, sd-1035 and MISST sd-1036, sd-1037) ran transects in the Chukchi Sea and approached the southern sea ice edge in the Arctic Ocean up to ~75�N to measure air-sea heat and momentum flux near sea ice and to validate satellite sea-surface temperature measurements in the arctic. Each saildrone was equipped to measure solar irradiance, air temperature and relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Four cameras aboard each USV imaged up, down, port and starboard of the wing. Saildrones sd-1033 and sd-1034 had Autonomous Surface Vehicle CO2 (ASVCO2) systems measuring seawater pH, temperature, salinity and partial pressure of carbon dioxide (pCO2). Vehicles sd-1033, sd-1034, sd-1035, sd-1036 and sd-1037 measured near surface currents with 300 kHz acoustic Doppler current profilers (ADCP). Sd-1041 carried Simrad WBT Mini and ES38-18/200-18C fisheries echosounders. There were about two dozen encounters with free-floating sea ice between the four Chukchi Sea/Arctic Ocean saildrones. Sd-1035 was caught in sea ice and rendered barely maneuverable with rudder damage about 24 August. Its mission ended early on 10 September after which it was towed into Point Barrow. The remaining saildrones sampled Bering Sea transects and returned to Dutch Harbor on 11 October after sailing side-by-side for a few hours on an end-of-mission comparison. Other supporting measurements were made during this mission. The PMEL/WHOI/JISAO Arctic Heat Open Science Experiment dropped AXBTs on 16-22 July. USCGC Healy met sd-1033 on 11 August for a pCO2 cross-calibration. Sd-1034 and sd-1035 sailed near the sites of periodic surfacings of Marine Robotic Vehicles (MRV) Air-Launched Autonomous Micro-Observer (ALAMO) float 9234. Sd-1036 followed a University of Washington Applied Physics Lab Seaglider in a bow-tie pattern near 73N, 148W in August.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\n... (10 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1035_2019_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1035_2019_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1035_2019/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1035_2019.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1035_2019&showErrors=false&email= | NOAA/PMEL; NOAA/AFSC; University of Washington | sd1035_2019 | ||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1036_2019.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1036_2019 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1036_2019.graph | https://data.pmel.noaa.gov/pmel/erddap/files/sd1036_2019/ | NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1036 | Six saildrones (sd-1033, sd-1034, sd-1035, sd-1036, sd-1037 and sd-1041) - remotely piloted, solar- and wind-powered unoccupied surface vehicles (USVs) - were launched near Dutch Harbor, Alaska, USA (53.95�N, 166.50�W) into the Bering Sea on 15 May 2019. This 2019 Arctic Saildrone Mission was a joint effort betweenNOAA�s Pacific Marine Environmental Laboratory (PMEL) and Alaska Fisheries Science Center (AFSC), the NOAA/University of Washington Joint Institute for the Study of the Ocean and Atmosphere (Joint Institue for the Study of Atmoshere and Ocean (JISAO)), and the National Ocean Partnership Program (NOPP) Arctic MISST (Multi-sensor Improved Sea Surface Temperature) study. The overall mission objective was to measure atmospheric, oceanographic, fishery and fur seal conditions in the US arctic. One USV (sd-1041) remained in the Bering Sea measuring fish acoustic backscatter and conducting focal follows of threatened fur seals for AFSC. Five saildrones transited Bering Strait into the Chukchi Sea. One of those (sd-1033) surveyed lines in Distributed Biological Observatories (DBO) 1-5. The remaining four (PMEL sd-1034, sd-1035 and MISST sd-1036, sd-1037) ran transects in the Chukchi Sea and approached the southern sea ice edge in the Arctic Ocean up to ~75�N to measure air-sea heat and momentum flux near sea ice and to validate satellite sea-surface temperature measurements in the arctic. Each saildrone was equipped to measure solar irradiance, air temperature and relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Four cameras aboard each USV imaged up, down, port and starboard of the wing. Saildrones sd-1033 and sd-1034 had Autonomous Surface Vehicle CO2 (ASVCO2) systems measuring seawater pH, temperature, salinity and partial pressure of carbon dioxide (pCO2). Vehicles sd-1033, sd-1034, sd-1035, sd-1036 and sd-1037 measured near surface currents with 300 kHz acoustic Doppler current profilers (ADCP). Sd-1041 carried Simrad WBT Mini and ES38-18/200-18C fisheries echosounders. There were about two dozen encounters with free-floating sea ice between the four Chukchi Sea/Arctic Ocean saildrones. Sd-1035 was caught in sea ice and rendered barely maneuverable with rudder damage about 24 August. Its mission ended early on 10 September after which it was towed into Point Barrow. The remaining saildrones sampled Bering Sea transects and returned to Dutch Harbor on 11 October after sailing side-by-side for a few hours on an end-of-mission comparison. Other supporting measurements were made during this mission. The PMEL/WHOI/JISAO Arctic Heat Open Science Experiment dropped AXBTs on 16-22 July. USCGC Healy met sd-1033 on 11 August for a pCO2 cross-calibration. Sd-1034 and sd-1035 sailed near the sites of periodic surfacings of Marine Robotic Vehicles (MRV) Air-Launched Autonomous Micro-Observer (ALAMO) float 9234. Sd-1036 followed a University of Washington Applied Physics Lab Seaglider in a bow-tie pattern near 73N, 148W in August.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\n... (10 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1036_2019_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1036_2019_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1036_2019/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1036_2019.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1036_2019&showErrors=false&email= | NOAA/PMEL; NOAA/AFSC; University of Washington | sd1036_2019 | ||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1037_2019.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1037_2019 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1037_2019.graph | https://data.pmel.noaa.gov/pmel/erddap/files/sd1037_2019/ | NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1037 | Six saildrones (sd-1033, sd-1034, sd-1035, sd-1036, sd-1037 and sd-1041) - remotely piloted, solar- and wind-powered unoccupied surface vehicles (USVs) - were launched near Dutch Harbor, Alaska, USA (53.95�N, 166.50�W) into the Bering Sea on 15 May 2019. This 2019 Arctic Saildrone Mission was a joint effort betweenNOAA�s Pacific Marine Environmental Laboratory (PMEL) and Alaska Fisheries Science Center (AFSC), the NOAA/University of Washington Joint Institute for the Study of the Ocean and Atmosphere (Joint Institue for the Study of Atmoshere and Ocean (JISAO)), and the National Ocean Partnership Program (NOPP) Arctic MISST (Multi-sensor Improved Sea Surface Temperature) study. The overall mission objective was to measure atmospheric, oceanographic, fishery and fur seal conditions in the US arctic. One USV (sd-1041) remained in the Bering Sea measuring fish acoustic backscatter and conducting focal follows of threatened fur seals for AFSC. Five saildrones transited Bering Strait into the Chukchi Sea. One of those (sd-1033) surveyed lines in Distributed Biological Observatories (DBO) 1-5. The remaining four (PMEL sd-1034, sd-1035 and MISST sd-1036, sd-1037) ran transects in the Chukchi Sea and approached the southern sea ice edge in the Arctic Ocean up to ~75�N to measure air-sea heat and momentum flux near sea ice and to validate satellite sea-surface temperature measurements in the arctic. Each saildrone was equipped to measure solar irradiance, air temperature and relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Four cameras aboard each USV imaged up, down, port and starboard of the wing. Saildrones sd-1033 and sd-1034 had Autonomous Surface Vehicle CO2 (ASVCO2) systems measuring seawater pH, temperature, salinity and partial pressure of carbon dioxide (pCO2). Vehicles sd-1033, sd-1034, sd-1035, sd-1036 and sd-1037 measured near surface currents with 300 kHz acoustic Doppler current profilers (ADCP). Sd-1041 carried Simrad WBT Mini and ES38-18/200-18C fisheries echosounders. There were about two dozen encounters with free-floating sea ice between the four Chukchi Sea/Arctic Ocean saildrones. Sd-1035 was caught in sea ice and rendered barely maneuverable with rudder damage about 24 August. Its mission ended early on 10 September after which it was towed into Point Barrow. The remaining saildrones sampled Bering Sea transects and returned to Dutch Harbor on 11 October after sailing side-by-side for a few hours on an end-of-mission comparison. Other supporting measurements were made during this mission. The PMEL/WHOI/JISAO Arctic Heat Open Science Experiment dropped AXBTs on 16-22 July. USCGC Healy met sd-1033 on 11 August for a pCO2 cross-calibration. Sd-1034 and sd-1035 sailed near the sites of periodic surfacings of Marine Robotic Vehicles (MRV) Air-Launched Autonomous Micro-Observer (ALAMO) float 9234. Sd-1036 followed a University of Washington Applied Physics Lab Seaglider in a bow-tie pattern near 73N, 148W in August.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\n... (10 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1037_2019_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1037_2019_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1037_2019/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1037_2019.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1037_2019&showErrors=false&email= | NOAA/PMEL; NOAA/AFSC; University of Washington | sd1037_2019 | ||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1041_2019.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1041_2019 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1041_2019.graph | https://data.pmel.noaa.gov/pmel/erddap/files/sd1041_2019/ | NOAA/PMEL 2019 Arctic Saildrone Mission, drone 1041 | Six saildrones (sd-1033, sd-1034, sd-1035, sd-1036, sd-1037 and sd-1041) - remotely piloted, solar- and wind-powered unoccupied surface vehicles (USVs) - were launched near Dutch Harbor, Alaska, USA (53.95�N, 166.50�W) into the Bering Sea on 15 May 2019. This 2019 Arctic Saildrone Mission was a joint effort betweenNOAA�s Pacific Marine Environmental Laboratory (PMEL) and Alaska Fisheries Science Center (AFSC), the NOAA/University of Washington Joint Institute for the Study of the Ocean and Atmosphere (Joint Institue for the Study of Atmoshere and Ocean (JISAO)), and the National Ocean Partnership Program (NOPP) Arctic MISST (Multi-sensor Improved Sea Surface Temperature) study. The overall mission objective was to measure atmospheric, oceanographic, fishery and fur seal conditions in the US arctic. One USV (sd-1041) remained in the Bering Sea measuring fish acoustic backscatter and conducting focal follows of threatened fur seals for AFSC. Five saildrones transited Bering Strait into the Chukchi Sea. One of those (sd-1033) surveyed lines in Distributed Biological Observatories (DBO) 1-5. The remaining four (PMEL sd-1034, sd-1035 and MISST sd-1036, sd-1037) ran transects in the Chukchi Sea and approached the southern sea ice edge in the Arctic Ocean up to ~75�N to measure air-sea heat and momentum flux near sea ice and to validate satellite sea-surface temperature measurements in the arctic. Each saildrone was equipped to measure solar irradiance, air temperature and relative humidity, barometric pressure, surface skin temperature, wind speed and direction, wave height and period, seawater temperature and salinity, chlorophyll fluorescence, and dissolved oxygen. Four cameras aboard each USV imaged up, down, port and starboard of the wing. Saildrones sd-1033 and sd-1034 had Autonomous Surface Vehicle CO2 (ASVCO2) systems measuring seawater pH, temperature, salinity and partial pressure of carbon dioxide (pCO2). Vehicles sd-1033, sd-1034, sd-1035, sd-1036 and sd-1037 measured near surface currents with 300 kHz acoustic Doppler current profilers (ADCP). Sd-1041 carried Simrad WBT Mini and ES38-18/200-18C fisheries echosounders. There were about two dozen encounters with free-floating sea ice between the four Chukchi Sea/Arctic Ocean saildrones. Sd-1035 was caught in sea ice and rendered barely maneuverable with rudder damage about 24 August. Its mission ended early on 10 September after which it was towed into Point Barrow. The remaining saildrones sampled Bering Sea transects and returned to Dutch Harbor on 11 October after sailing side-by-side for a few hours on an end-of-mission comparison. Other supporting measurements were made during this mission. The PMEL/WHOI/JISAO Arctic Heat Open Science Experiment dropped AXBTs on 16-22 July. USCGC Healy met sd-1033 on 11 August for a pCO2 cross-calibration. Sd-1034 and sd-1035 sailed near the sites of periodic surfacings of Marine Robotic Vehicles (MRV) Air-Launched Autonomous Micro-Observer (ALAMO) float 9234. Sd-1036 followed a University of Washington Applied Physics Lab Seaglider in a bow-tie pattern near 73N, 148W in August.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\n... (10 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1041_2019_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1041_2019_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1041_2019/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1041_2019.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1041_2019&showErrors=false&email= | NOAA/PMEL; NOAA/AFSC; University of Washington | sd1041_2019 | ||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/osmc_rt_60.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/osmc_rt_60 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/osmc_rt_60.graph | https://data.pmel.noaa.gov/pmel/erddap/files/osmc_rt_60/ | OSMC 60-day Real-time Data | Observing System Monitoring Center (OSMC) most recent 60 days of data.\n\ncdm_data_type = Point\nVARIABLES:\nplatform_code (WMO id or Ship call sign)\nplatform_type\ncountry\ntime (observation date, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nobservation_depth\nsst (sea surface temperature, Deg C)\natmp (air temperature, Deg C)\nztmp (profile water temperature, Deg C)\nzsal (profile salinity, PSU)\nslp (sea level pressure, hPa)\nwindspd (wind speed, m/s)\nwinddir (wind from direction, Deg true)\nclouds (cloud cover, oktas)\ndewpoint (dew point temperature, Deg C)\nhur (relative humidity)\nwvht (sea surface wave significant height, m)\nwaterlevel_met_res (meteorological residual tidal elevation, m)\nwaterlevel_wrt_lcd (tidal elevation WRT local chart datum, m)\nwater_col_ht (water column height, m)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/osmc_rt_60_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/osmc_rt_60_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/osmc_rt_60/index.htmlTable | ??? | https://data.pmel.noaa.gov/pmel/erddap/rss/osmc_rt_60.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=osmc_rt_60&showErrors=false&email= | Observing System Monitoring Center | osmc_rt_60 | ||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/fisheries_2020_all.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/fisheries_2020_all | https://data.pmel.noaa.gov/pmel/erddap/tabledap/fisheries_2020_all.graph | Saildrone 2020 Fisheries Pollock Survey Collection | The Bering Alaska Fisheries Science Center (AFSC) Pollock Survey mission is a Public-Private Partnership between Saildrone and the following research institutions: NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to mitigate the potential loss of survey information ordinarily collected with ships by providing an acoustic estimate of pollock abundance for use in fisheries management.\n\ncdm_data_type = Trajectory\nVARIABLES:\nUWND_MEAN (Eastward wind speed, m s-1)\nUWND_STDDEV (Eastward wind speed SD, m s-1)\nVWND_MEAN (Northward wind speed, m s-1)\nVWND_STDDEV (Northward wind speed SD, m s-1)\nWWND_MEAN (Downward wind speed, m s-1)\nWWND_STDDEV (Downward wind speed SD, m s-1)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nWIND_SPEED_STDDEV (Wind speed SD, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_FROM_STDDEV (Wind from SD, degree)\nGUST_WND_MEAN (Wind gust speed, m s-1)\nGUST_WND_STDDEV (Wind gust speed SD, m s-1)\nWIND_MEASUREMENT_HEIGHT_MEAN (Wind measurement height, m)\nWIND_MEASUREMENT_HEIGHT_STDDEV (Wind measurement height SD, m)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nTEMP_AIR_STDDEV (Air temperature SD, degree_C)\nRH_MEAN (Relative humidity, percent)\nRH_STDDEV (Relative humidity SD, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nBARO_PRES_STDDEV (Air pressure SD, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nTEMP_IR_SEA_WING_UNCOMP_STDDEV (Wing Sea IR Temperature SD, degree_C)\nWAVE_DOMINANT_PERIOD (s)\n... (10 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/fisheries_2020_all_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/fisheries_2020_all_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/fisheries_2020_all/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/fisheries_2020_all.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=fisheries_2020_all&showErrors=false&email= | Saildrone | fisheries_2020_all | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1043.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1043 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1043.graph | Saildrone 2020 Fisheries Pollock Survey drone 1043 | The Bering Alaska Fisheries Science Center (AFSC) Pollock Survey mission is a Public-Private Partnership between Saildrone and the following research institutions: NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to mitigate the potential loss of survey information ordinarily collected with ships by providing an acoustic estimate of pollock abundance for use in fisheries management.\n\ncdm_data_type = Trajectory\nVARIABLES:\nUWND_MEAN (Eastward wind speed, m s-1)\nUWND_STDDEV (Eastward wind speed SD, m s-1)\nVWND_MEAN (Northward wind speed, m s-1)\nVWND_STDDEV (Northward wind speed SD, m s-1)\nWWND_MEAN (Downward wind speed, m s-1)\nWWND_STDDEV (Downward wind speed SD, m s-1)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nWIND_SPEED_STDDEV (Wind speed SD, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_FROM_STDDEV (Wind from SD, degree)\nGUST_WND_MEAN (Wind gust speed, m s-1)\nGUST_WND_STDDEV (Wind gust speed SD, m s-1)\nWIND_MEASUREMENT_HEIGHT_MEAN (Wind measurement height, m)\nWIND_MEASUREMENT_HEIGHT_STDDEV (Wind measurement height SD, m)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nTEMP_AIR_STDDEV (Air temperature SD, degree_C)\nRH_MEAN (Relative humidity, percent)\nRH_STDDEV (Relative humidity SD, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nBARO_PRES_STDDEV (Air pressure SD, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nTEMP_IR_SEA_WING_UNCOMP_STDDEV (Wing Sea IR Temperature SD, degree_C)\nWAVE_DOMINANT_PERIOD (s)\n... (10 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1043_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1043_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1043/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1043.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1043&showErrors=false&email= | Saildrone | sd1043 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1046.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1046 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1046.graph | Saildrone 2020 Fisheries Pollock Survey drone 1046 | The Bering Alaska Fisheries Science Center (AFSC) Pollock Survey mission is a Public-Private Partnership between Saildrone and the following research institutions: NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to mitigate the potential loss of survey information ordinarily collected with ships by providing an acoustic estimate of pollock abundance for use in fisheries management.\n\ncdm_data_type = Trajectory\nVARIABLES:\nUWND_MEAN (Eastward wind speed, m s-1)\nUWND_STDDEV (Eastward wind speed SD, m s-1)\nVWND_MEAN (Northward wind speed, m s-1)\nVWND_STDDEV (Northward wind speed SD, m s-1)\nWWND_MEAN (Downward wind speed, m s-1)\nWWND_STDDEV (Downward wind speed SD, m s-1)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nWIND_SPEED_STDDEV (Wind speed SD, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_FROM_STDDEV (Wind from SD, degree)\nGUST_WND_MEAN (Wind gust speed, m s-1)\nGUST_WND_STDDEV (Wind gust speed SD, m s-1)\nWIND_MEASUREMENT_HEIGHT_MEAN (Wind measurement height, m)\nWIND_MEASUREMENT_HEIGHT_STDDEV (Wind measurement height SD, m)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nTEMP_AIR_STDDEV (Air temperature SD, degree_C)\nRH_MEAN (Relative humidity, percent)\nRH_STDDEV (Relative humidity SD, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nBARO_PRES_STDDEV (Air pressure SD, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nTEMP_IR_SEA_WING_UNCOMP_STDDEV (Wing Sea IR Temperature SD, degree_C)\nWAVE_DOMINANT_PERIOD (s)\n... (10 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1046_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1046_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1046/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1046.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1046&showErrors=false&email= | Saildrone | sd1046 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1049.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1049 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1049.graph | Saildrone 2020 Fisheries Pollock Survey drone 1049 | The Bering Alaska Fisheries Science Center (AFSC) Pollock Survey mission is a Public-Private Partnership between Saildrone and the following research institutions: NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to mitigate the potential loss of survey information ordinarily collected with ships by providing an acoustic estimate of pollock abundance for use in fisheries management.\n\ncdm_data_type = Trajectory\nVARIABLES:\nUWND_MEAN (Eastward wind speed, m s-1)\nUWND_STDDEV (Eastward wind speed SD, m s-1)\nVWND_MEAN (Northward wind speed, m s-1)\nVWND_STDDEV (Northward wind speed SD, m s-1)\nWWND_MEAN (Downward wind speed, m s-1)\nWWND_STDDEV (Downward wind speed SD, m s-1)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nWIND_SPEED_STDDEV (Wind speed SD, m s-1)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_FROM_STDDEV (Wind from SD, degree)\nGUST_WND_MEAN (Wind gust speed, m s-1)\nGUST_WND_STDDEV (Wind gust speed SD, m s-1)\nWIND_MEASUREMENT_HEIGHT_MEAN (Wind measurement height, m)\nWIND_MEASUREMENT_HEIGHT_STDDEV (Wind measurement height SD, m)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nTEMP_AIR_STDDEV (Air temperature SD, degree_C)\nRH_MEAN (Relative humidity, percent)\nRH_STDDEV (Relative humidity SD, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nBARO_PRES_STDDEV (Air pressure SD, hPa)\nTEMP_IR_SEA_WING_UNCOMP_MEAN (Wing Sea IR Temperature, degree_C)\nTEMP_IR_SEA_WING_UNCOMP_STDDEV (Wing Sea IR Temperature SD, degree_C)\nWAVE_DOMINANT_PERIOD (s)\n... (10 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1049_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1049_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1049/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1049.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1049&showErrors=false&email= | Saildrone | sd1049 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2021.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2021 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/all_swfsc_2021.graph | Saildrone 2021 NOAA SWFSC mission NRT collection | Two Gen6 Saildrone Explorer USVs were launched from Westport, WA in June 2021. These USVs were equipped with EK80 echosounders, and other metocean sensors and sailed along the west coast of the United States as a part of a fish stock survey.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (44 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/all_swfsc_2021_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/all_swfsc_2021_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/all_swfsc_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/all_swfsc_2021.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=all_swfsc_2021&showErrors=false&email= | Saildrone | all_swfsc_2021 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1055_swfsc_2021.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1055_swfsc_2021 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1055_swfsc_2021.graph | Saildrone 2021 NOAA SWFSC mission NRT, drone 1055 | Two Gen6 Saildrone Explorer USVs were launched from Westport, WA in June 2021. These USVs were equipped with EK80 echosounders, and other metocean sensors and sailed along the west coast of the United States as a part of a fish stock survey.\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\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\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN\nWING_HDG_FILTERED_STDDEV\nWING_ROLL_FILTERED_MEAN\n... (44 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1055_swfsc_2021_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1055_swfsc_2021_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1055_swfsc_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1055_swfsc_2021.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1055_swfsc_2021&showErrors=false&email= | Saildrone | sd1055_swfsc_2021 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1059_swfsc_2021.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1059_swfsc_2021 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1059_swfsc_2021.graph | Saildrone 2021 NOAA SWFSC mission NRT, drone 1059 | Two Gen6 Saildrone Explorer USVs were launched from Westport, WA in June 2021. These USVs were equipped with EK80 echosounders, and other metocean sensors and sailed along the west coast of the United States as a part of a fish stock survey.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (44 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1059_swfsc_2021_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1059_swfsc_2021_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1059_swfsc_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1059_swfsc_2021.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1059_swfsc_2021&showErrors=false&email= | Saildrone | sd1059_swfsc_2021 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1063_hake_2021.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1063_hake_2021 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1063_hake_2021.graph | Saildrone 2021 NWFSC Hake Survey, drone 1063 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in August 2021. These USVs were equipped with WBT mini echosounders with 200/38 kHz transducers, and other metocean sensors and sailed along the west coast of the United States as a part of a hake fish stock survey.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (44 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1063_hake_2021_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1063_hake_2021_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1063_hake_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1063_hake_2021.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1063_hake_2021&showErrors=false&email= | Saildrone | sd1063_hake_2021 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1064_hake_2021.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1064_hake_2021 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1064_hake_2021.graph | Saildrone 2021 NWFSC Hake Survey, drone 1064 | Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in August 2021. These USVs were equipped with WBT mini echosounders with 200/38 kHz transducers, and other metocean sensors and sailed along the west coast of the United States as a part of a hake fish stock survey.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nSOG (Speed over ground, m s-1)\nSOG_FILTERED_MEAN (Speed over ground one minute mean, m s-1)\nSOG_FILTERED_STDDEV (Speed over ground one minute stddev, m s-1)\nSOG_FILTERED_MAX (Speed over ground one minute max, m s-1)\nSOG_FILTERED_MIN (Speed over ground one minute min, m s-1)\nCOG (Course over ground, degree)\nCOG_FILTERED_MEAN (Course over ground one minute mean, degree)\nCOG_FILTERED_STDDEV (Course over ground one minute stddev, degree)\nHDG (Vehicle heading, degree)\nHDG_FILTERED_MEAN (Vehicle heading one minute mean, degree)\nHDG_FILTERED_STDDEV (Vehicle heading one minute stddev, degree)\nROLL_FILTERED_MEAN (Vehicle roll one minute mean, degree)\nROLL_FILTERED_STDDEV (Vehicle roll one minute stddev, degree)\nROLL_FILTERED_PEAK (Vehicle roll one minute peak, degree)\nPITCH_FILTERED_MEAN (Vehicle pitch one minute mean, degree)\nPITCH_FILTERED_STDDEV (Vehicle pitch one minute stddev, degree)\nPITCH_FILTERED_PEAK (Vehicle pitch one minute peak, degree)\nHDG_WING (Wing heading, degree)\nWING_HDG_FILTERED_MEAN (Wing heading one minute mean, degree)\nWING_HDG_FILTERED_STDDEV (Wing heading one minute stddev, degree)\nWING_ROLL_FILTERED_MEAN (Wing roll one minute mean, degree)\n... (44 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1064_hake_2021_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1064_hake_2021_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1064_hake_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1064_hake_2021.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1064_hake_2021&showErrors=false&email= | Saildrone | sd1064_hake_2021 | |||
| 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/sd1029_2018.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1029_2018 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1029_2018.graph | Saildrone PMEL TPOS 2018 Mission, drone 1029 | 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... (60 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1029_2018_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1029_2018_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1029_2018/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1029_2018.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1029_2018&showErrors=false&email= | NOAA/PMEL | sd1029_2018 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1030_2018.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1030_2018 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1030_2018.graph | Saildrone PMEL TPOS 2018 Mission, drone 1030 | 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... (62 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1030_2018_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1030_2018_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1030_2018/index.htmlTable | https://www.pmel.noaa.gov/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1030_2018.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1030_2018&showErrors=false&email= | NOAA/PMEL | sd1030_2018 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1065_tpos_2021.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1065_tpos_2021 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1065_tpos_2021.graph | Saildrone PMEL TPOS 2021 Mission, drone 1065 | This file contains data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2021 Mission (Mission 4) to the eastern tropical Pacific hurricane genesis region near 10N - 15N, 110W, the near-equatorial Cold Tongue region between 110W - 125W, and the region south of the equator where an Intertropical Convergence Zone (ITCZ) sometimes forms. These data have not been Quality Control (QC)'d. This mission was funded in part by NOAA OMAO and NOAA National Ocean Partnership Program (NOPP) to continue USV observations as part of the Tropical Pacific Observing System (TPOS), with a focus on air-sea heat and momentum exchanges, carbon dioxide fluxes, preconditions for storm activity, and hurricane genesis, which affects moisture transport and rainfall along the west coast of North America in a region undersampled by the existing mooring array. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang, and Dr. Samantha Wills (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES), Dr. Adrienne Sutton, Mr. Christian Meinig, and Eugene Burger (all NOAA PMEL), Dr. Yolande Serra (UW/CICOES), Dr. Avichal Mehra (NOAA National Centers for Environmental Prediction (NCEP)), Karen Grissom (NOAA National Data Buoy Center (NDBC)), and Dr. Eric Lindstrom (Saildrone, Inc). Drs. Samantha Wills and Dongxiao Zhang acted as Mission Managers during this mission. Mr. Nathan Anderson (UW CICOES) contributed to the metadata creation. The PMEL TPOS 2021 Mission (aka Mission 4) had two Saildrones: SD1065 and SD1066. Both were standard Gen 6 drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package. The core CTD was an SBE 37-SMP at 1.54m, with an auxiliary SBE prawler at 0.62m and 3x SBE56 T sensors at 0.33m, 0.5m, and 1.03m. Both SD1065 and SD1066 had an ASVCO2 carbon flux and pH system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles for the 2021 mission were deployed out of San Francisco Bay, CA on 23 July 2021, transiting to the eastern tropical Pacific, where they spent 160 days collecting data. The drones encountered rough seas associated with Tropical Depression Marty, forcing them into storm mode for several days before entering the hurricane genesis study region. The drones then proceeded south along the 110W Tropical Atmosphere/Ocean (TAO) mooring line, completing two intercomparisons at the 8N, 110W and 5N, 110W TAO buoys. The drones also sampled the strong meridional Sea Surface Temperature (SST) front separating the warm waters of the northern hemisphere ITCZ from the cold waters of the equatorial Cold Tongue. The drones became separated en route to the equatorial study region due to strong easterly ocean currents, with SD1065 eventually crossing the Equator to survey the southern hemisphere double ITCZ regime. The mission ended in the field on 17 February, 2022, with SD1065 positioned near 8S, 117W and SD1066 positioned near 1N, 130W.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\n... (81 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1065_tpos_2021_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1065_tpos_2021_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1065_tpos_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1065_tpos_2021.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1065_tpos_2021&showErrors=false&email= | NOAA/PMEL | sd1065_tpos_2021 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1066_tpos_2021.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1066_tpos_2021 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1066_tpos_2021.graph | Saildrone PMEL TPOS 2021 Mission, drone 1066 | This file contains data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2021 Mission (Mission 4) to the eastern tropical Pacific hurricane genesis region near 10N - 15N, 110W, the near-equatorial Cold Tongue region between 110W - 125W, and the region south of the equator where an Intertropical Convergence Zone (ITCZ) sometimes forms. These data have not been Quality Control (QC)'d. This mission was funded in part by NOAA OMAO and NOAA National Ocean Partnership Program (NOPP) to continue USV observations as part of the Tropical Pacific Observing System (TPOS), with a focus on air-sea heat and momentum exchanges, carbon dioxide fluxes, preconditions for storm activity, and hurricane genesis, which affects moisture transport and rainfall along the west coast of North America in a region undersampled by the existing mooring array. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang, and Dr. Samantha Wills (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES), Dr. Adrienne Sutton, Mr. Christian Meinig, and Eugene Burger (all NOAA PMEL), Dr. Yolande Serra (UW/CICOES), Dr. Avichal Mehra (NOAA National Centers for Environmental Prediction (NCEP)), Karen Grissom (NOAA National Data Buoy Center (NDBC)), and Dr. Eric Lindstrom (Saildrone, Inc). Drs. Samantha Wills and Dongxiao Zhang acted as Mission Managers during this mission. Mr. Nathan Anderson (UW CICOES) contributed to the metadata creation. The PMEL TPOS 2021 Mission (aka Mission 4) had two Saildrones: SD1065 and SD1066. Both were standard Gen 6 drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package. The core CTD was an SBE 37-SMP at 1.54m, with an auxiliary SBE prawler at 0.62m and 3x SBE56 T sensors at 0.33m, 0.5m, and 1.03m. Both SD1065 and SD1066 had an ASVCO2 carbon flux and pH system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles for the 2021 mission were deployed out of San Francisco Bay, CA on 23 July 2021, transiting to the eastern tropical Pacific, where they spent 160 days collecting data. The drones encountered rough seas associated with Tropical Depression Marty, forcing them into storm mode for several days before entering the hurricane genesis study region. The drones then proceeded south along the 110W Tropical Atmosphere/Ocean (TAO) mooring line, completing two intercomparisons at the 8N, 110W and 5N, 110W TAO buoys. The drones also sampled the strong meridional Sea Surface Temperature (SST) front separating the warm waters of the northern hemisphere ITCZ from the cold waters of the equatorial Cold Tongue. The drones became separated en route to the equatorial study region due to strong easterly ocean currents, with SD1065 eventually crossing the Equator to survey the southern hemisphere double ITCZ regime. The mission ended in the field on 17 February, 2022, with SD1065 positioned near 8S, 117W and SD1066 positioned near 1N, 130W.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntrajectory (Trajectory/Drone ID)\n... (75 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1066_tpos_2021_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1066_tpos_2021_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1066_tpos_2021/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1066_tpos_2021.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1066_tpos_2021&showErrors=false&email= | NOAA/PMEL | sd1066_tpos_2021 | |||
| https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1033_tpos_2022.subset | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1033_tpos_2022 | https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1033_tpos_2022.graph | Saildrone PMEL TPOS 2022 Mission, drone 1033 | This file contains data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2022 Mission (Mission 5) to the eastern tropical Pacific along the 125W meridian. These data have not been Quality Control (QC)'d. This mission was funded by NOAA OMAO to continue USV observations as part of the Tropical Pacific Observing System (TPOS), with a focus on observing air-sea interaction processes and CO2 fluxes associated with the predicted rare 3rd consecutive La Niña, Tropical Instability Waves, and high frequency eddy and frontal variability between the Equatorial Cold Tongue and the Intertropical Convergence Zone. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Dr. Samantha Wills (UW CICOES) was a research scientist with the project, acting as a co-PI and Mission Manager during this mission. Mr. Nathan Anderson (UW CICOES) contributed to the metadata creation. The PMEL TPOS 2022 Mission (aka Mission 5) had two Saildrones: SD1033 and SD1052. Both were standard Gen 6 drones, with an Acoustic Doppler Current Profiler (ADCP) at 1.86m (not included in this file) and the core MetOcean package. The core CTD was an SBE 37-SMP at 1.54m, with an auxiliary SBE prawler at 0.62m and 3x SBE56 T sensors at 0.33m, 0.5m, and 1.03m. Both SD1065 and SD1066 had an ASVCO2 carbon flux and pH system, an SPN1 shielded shortwave radiometer, and an Eppley longwave radiometer. Carbon system data (including its prawler Conductivity, Temperature, Depth (CTD) data) are served through a separate file. The vehicles for the 2022 mission were deployed out of San Francisco Bay, CA in early May 2022, arriving on station to initiate the mission on 22 June 2022. The 90-day mission ended 22 Sept 2022.\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)\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)\n... (73 more variables)\n | https://data.pmel.noaa.gov/pmel/erddap/metadata/fgdc/xml/sd1033_tpos_2022_fgdc.xml | https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1033_tpos_2022_iso19115.xml | https://data.pmel.noaa.gov/pmel/erddap/info/sd1033_tpos_2022/index.htmlTable | https://saildrone.com/
| https://data.pmel.noaa.gov/pmel/erddap/rss/sd1033_tpos_2022.rss | https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2022&showErrors=false&email= | NOAA PMEL | sd1033_tpos_2022 |