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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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/2020_arctic_nos_all.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/2020_arctic_nos_all https://data.pmel.noaa.gov/pmel/erddap/tabledap/2020_arctic_nos_all.graph Saildrone 2020 Arctic OCS Single Beam Mapping Collection Arctic OCS Single Beam Mapping Global Telecommunications System (GTS) data. The Arctic OCS Single Beam Mapping mission is a Public-Private Partnership between Saildrone and the following research institutions: Terrasond NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to map the 20m and 50m isobaths along the North Slope of Alaska, surveying from north of Point Hope extending northeast to the border between the US and Canada.\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/2020_arctic_nos_all_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/2020_arctic_nos_all_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/2020_arctic_nos_all/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/pmel/erddap/rss/2020_arctic_nos_all.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=2020_arctic_nos_all&showErrors=false&email= Saildrone 2020_arctic_nos_all
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1037.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1037 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1037.graph Saildrone 2020 Arctic OCS Single Beam Mapping drone 1037 Arctic OCS Single Beam Mapping Global Telecommunications System (GTS) data. The Arctic OCS Single Beam Mapping mission is a Public-Private Partnership between Saildrone and the following research institutions: Terrasond NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to map the 20m and 50m isobaths along the North Slope of Alaska, surveying from north of Point Hope extending northeast to the border between the US and Canada.\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/sd1037_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1037_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1037/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/pmel/erddap/rss/sd1037.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1037&showErrors=false&email= Saildrone sd1037
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1055.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1055 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1055.graph Saildrone 2020 Arctic OCS Single Beam Mapping drone 1055 Arctic OCS Single Beam Mapping Global Telecommunications System (GTS) data. The Arctic OCS Single Beam Mapping mission is a Public-Private Partnership between Saildrone and the following research institutions: Terrasond NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to map the 20m and 50m isobaths along the North Slope of Alaska, surveying from north of Point Hope extending northeast to the border between the US and Canada.\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/sd1055_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1055_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1055/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/pmel/erddap/rss/sd1055.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1055&showErrors=false&email= Saildrone sd1055
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1068.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1068 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1068.graph Saildrone 2020 Arctic OCS Single Beam Mapping drone 1068 Arctic OCS Single Beam Mapping Global Telecommunications System (GTS) data. The Arctic OCS Single Beam Mapping mission is a Public-Private Partnership between Saildrone and the following research institutions: Terrasond NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to map the 20m and 50m isobaths along the North Slope of Alaska, surveying from north of Point Hope extending northeast to the border between the US and Canada.\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/sd1068_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1068_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1068/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/pmel/erddap/rss/sd1068.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1068&showErrors=false&email= Saildrone sd1068
https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1069.subset https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1069 https://data.pmel.noaa.gov/pmel/erddap/tabledap/sd1069.graph Saildrone 2020 Arctic OCS Single Beam Mapping drone 1069 Arctic OCS Single Beam Mapping Global Telecommunications System (GTS) data. The Arctic OCS Single Beam Mapping mission is a Public-Private Partnership between Saildrone and the following research institutions: Terrasond NOAA and Pacific Marine Environmental Laboratory (PMEL). The primary goals for this mission is to map the 20m and 50m isobaths along the North Slope of Alaska, surveying from north of Point Hope extending northeast to the border between the US and Canada.\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/sd1069_fgdc.xml https://data.pmel.noaa.gov/pmel/erddap/metadata/iso19115/xml/sd1069_iso19115.xml https://data.pmel.noaa.gov/pmel/erddap/info/sd1069/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/pmel/erddap/rss/sd1069.rss https://data.pmel.noaa.gov/pmel/erddap/subscriptions/add.html?datasetID=sd1069&showErrors=false&email= Saildrone sd1069
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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/ (external link) 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/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/ (external link) 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/ (external link) 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

 
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