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Brought to you by NOAA NMFS SWFSC ERD |
| griddap | Subset | tabledap | Make A Graph | wms | files | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2020_10_12.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2020_10_12 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2020_10_12.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/GLIDERS_2020_10_12/ | GLIDERS_MISSIONS_2020 Oct_Dec | sp058-20201215T1831. The overarching goal of the California Underwater Glider Network is to sustain baseline observations of climate variability off the coast of California. The technical approach is to deploy autonomous underwater gliders in a network to provide real-time data.\nThe CUGN uses Spray underwater gliders making repeated dives from the surface to 500 m and back, repeating the cycle every 3 hours, and traveling 3 km in the horizontal during that time. The CUGN includes gliders on three of the traditional cross-shore California Cooperative Oceanic Fisheries Investigations (CalCOFI) lines: line 66.7 off Monterey Bay, line 80 off Point Conception, and line 90 off Dana Point.\n The glider missions typically last about 100 days, and cover over 2000 km, thus providing 4-6 sections on lines extending 300-500 km offshore. Since 2005 the CUGN has covered 200,000 km over ground in 28 glider-years, while doing 90,000 dives.\n\ncdm_data_type = Point\nVARIABLES:\ntrajectory (Trajectory/Deployment Name)\ntime (Precise Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Precise Latitude, degrees_north)\nlongitude (Precise Longitude, degrees_east)\ndepth (m)\ntemperature (Sea Water Temperature, degree_C)\nsalinity (Sea Water Practical Salinity, 1e-3)\nu (Depth-Averaged Eastward Sea Water Velocity, m s-1)\nv (Depth-Averaged Northward Sea Water Velocity, m s-1)\nprofile_id\nprofile_time (seconds since 1970-01-01T00:00:00Z)\nprofile_latitude (degrees_north)\nprofile_longitude (degrees_east)\ntime_qc (profile_time Variable Quality Flag)\nlatitude_qc (latitude Variable Quality Flag, degrees_north)\nlongitude_qc (longitude Variable Quality Flag, degrees_east)\ndepth_qc (depth Variable Quality Flag)\n... (7 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/GLIDERS_2020_10_12_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/GLIDERS_2020_10_12_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/GLIDERS_2020_10_12/index.htmlTable | https://scripps.ucsd.edu/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/GLIDERS_2020_10_12.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=GLIDERS_2020_10_12&showErrors=false&email= | Scripps | GLIDERS_2020_10_12 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2022_01_03.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2022_01_03 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2022_01_03.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/GLIDERS_2022_01_03/ | GLIDERS_MISSIONS_2022 Jan_Mar | sp011-20220301T1806. The overarching goal of the California Underwater Glider Network is to sustain baseline observations of climate variability off the coast of California. The technical approach is to deploy autonomous underwater gliders in a network to provide real-time data.\nThe CUGN uses Spray underwater gliders making repeated dives from the surface to 500 m and back, repeating the cycle every 3 hours, and traveling 3 km in the horizontal during that time. The CUGN includes gliders on three of the traditional cross-shore California Cooperative Oceanic Fisheries Investigations (CalCOFI) lines: line 66.7 off Monterey Bay, line 80 off Point Conception, and line 90 off Dana Point.\n The glider missions typically last about 100 days, and cover over 2000 km, thus providing 4-6 sections on lines extending 300-500 km offshore. Since 2005 the CUGN has covered 200,000 km over ground in 28 glider-years, while doing 90,000 dives.\n\ncdm_data_type = Point\nVARIABLES:\ntrajectory (Trajectory/Deployment Name)\ntime (Precise Time, seconds since 1970-01-01T00:00:00Z)\nlatitude (Precise Latitude, degrees_north)\nlongitude (Precise Longitude, degrees_east)\ndepth (m)\ntemperature (Sea Water Temperature, degree_C)\nsalinity (Sea Water Practical Salinity, 1e-3)\nu (Depth-Averaged Eastward Sea Water Velocity, m s-1)\nv (Depth-Averaged Northward Sea Water Velocity, m s-1)\nprofile_id\nprofile_time (seconds since 1970-01-01T00:00:00Z)\nprofile_latitude (degrees_north)\nprofile_longitude (degrees_east)\ntime_qc (profile_time Variable Quality Flag)\nlatitude_qc (latitude Variable Quality Flag, degrees_north)\nlongitude_qc (longitude Variable Quality Flag, degrees_east)\ndepth_qc (depth Variable Quality Flag)\n... (7 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/GLIDERS_2022_01_03_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/GLIDERS_2022_01_03_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/GLIDERS_2022_01_03/index.htmlTable | https://scripps.ucsd.edu/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/GLIDERS_2022_01_03.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=GLIDERS_2022_01_03&showErrors=false&email= | Scripps | GLIDERS_2022_01_03 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/NDBC_BUOY_1997_present.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/NDBC_BUOY_1997_present | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/NDBC_BUOY_1997_present.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/NDBC_BUOY_1997_present/ | NDBC Standard Meteorological Buoy Data, 1970-present | The National Data Buoy Center (NDBC) distributes meteorological data from\nmoored buoys maintained by NDBC and others. Moored buoys are the weather\nsentinels of the sea. They are deployed in the coastal and offshore waters\nfrom the western Atlantic to the Pacific Ocean around Hawaii, and from the\nBering Sea to the South Pacific. NDBC's moored buoys measure and transmit\nbarometric pressure; wind direction, speed, and gust; air and sea\ntemperature; and wave energy spectra from which significant wave height,\ndominant wave period, and average wave period are derived. Even the\ndirection of wave propagation is measured on many moored buoys. See\nhttps://www.ndbc.noaa.gov/measdes.shtml for a description of the measurements.\n\nThe source data from NOAA NDBC has different column names, different units,\nand different missing values in different files, and other problems\n(notably, lots of rows with duplicate or different values for the same time\npoint). This dataset is a standardized, reformatted, and lightly edited\nversion of that source data, created by NOAA National Marine Fisheries Service (NMFS) Southwest Fisheries Science Center (SWFSC) ERD (email:\nerd.data at noaa.gov). Before 2020-01-29, this dataset only had the data\nthat was closest to a given hour, rounded to the nearest hour. Now, this\ndataset has all of the data available from NDBC with the original time\nvalues. If there are multiple source rows for a given buoy for a given\ntime, only the row with the most non-NaN data values is kept. If there is\na gap in the data, a row of missing values is inserted (which causes a nice\ngap when the data is graphed). Also, some impossible data values are\nremoved, but this data is not perfectly clean. This dataset is now updated\nevery 5 minutes.\n\nThis dataset has both historical data (quality controlled, before\n2022-10-01T00:00:00Z) and near real time data (less quality controlled,\nwhich may change at any time, from 2022-10-01T00:00:00Z on).\n\ncdm_data_type = TimeSeries\nVARIABLES:\nstation (Station Identifier)\n... (19 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/NDBC_BUOY_1997_present_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/NDBC_BUOY_1997_present_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/NDBC_BUOY_1997_present/index.htmlTable | https://www.ndbc.noaa.gov/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/NDBC_BUOY_1997_present.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=NDBC_BUOY_1997_present&showErrors=false&email= | NOAA NDBC, NOAA NMFS SWFSC ERD | NDBC_BUOY_1997_present | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_tpos_2023.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_tpos_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_tpos_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1030_tpos_2023/ | Saildrone 1030 NOAA PMEL TPOS 2023 (Pacific) | NOAA PMEL TPOS 2023 Saildrone 1030. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2023 Mission (Mission 6) to the central tropical Pacific along the 155°W meridian, west along the equator, and returning north roughly along the 170°W meridian. This mission was funded by NOAA OMAO UxSOC and the UMS 2022 project to implement the Research to Operations - Component Service Transition Plan Volume 1-C \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System (TPOS)\". This TPOS-2023 mission, focused on observing air-sea interaction processes and CO2 fluxes associated with the developing 2023 El Nino, an equatorial upwelling experiment near 0°N 153.5°W, a comparison with R/V Antea near 0°N 166°W, and several National Data Buoy Center (NDBC) buoy flybys. A pre-mission comparison against the WHOTS mooring was also conducted from May 30 - June 2, 2023. 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), Dr. Samantha Wills (UW/CICOES), Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Services Division (ESD)), Karen Grissom (NOAA NDBC), Eugene Burger (NOAA PMEL), Yolande Serra (UW CICOES), Dr. Arun Kumar (NOAA National Centers for Environmental Prediction (NCEP)), Dr. Jack Reeves Eyre (NOAA NCEP and ERT), and Jieshun Zhu (NOAA NCEP). Mr. Nathan Anderson (UW CICOES) contributed to the metadata creation. The PMEL TPOS 2023 Mission (aka Mission 6) had three Saildrones: SD1030, SD1033, and SD1079. All were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system. SD1030 and SD1033 were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file) and SD1079 with an EK80 echo sounder. The collaboration with NMFS facilitated the addition of the echo sounder to explore the value of combining physical and fish biomass surveys of the Pacific Islands Regions, with the collaboration's goal of connecting the life cycle with the energy, water, and carbon cycles to improve ecosystem forecasts within Earth system models. The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors at 0.355m, 0.775m, and 1.155m. All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer. Carbon system data (including the CTD data) are served through a separate file. EK80 data will also be provided as a separate file. The vehicles for the 2023 mission were deployed out of Honolulu, HI in June 2023, arriving on station (near 18°N 155°W) to initiate the mission on 22 June 2023. The 120-day mission was extended to 05 Nov 2023, because SD1030 went off-mission early (12 Sept 2023) due to navigational issues.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\n... (74 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1030_tpos_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1030_tpos_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1030_tpos_2023/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1030_tpos_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1030_tpos_2023&showErrors=false&email= | NOAA PMEL | sd1030_tpos_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2023.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1033_tpos_2023/ | Saildrone 1033 NOAA PMEL TPOS 2023 (Pacific) | NOAA PMEL TPOS 2023 Saildrone 1033. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2023 Mission (Mission 6) to the central tropical Pacific along the 155°W meridian, west along the equator, and returning north roughly along the 170°W meridian. This mission was funded by NOAA OMAO UxSOC and the UMS 2022 project to implement the Research to Operations - Component Service Transition Plan Volume 1-C \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System (TPOS)\". This TPOS-2023 mission, focused on observing air-sea interaction processes and CO2 fluxes associated with the developing 2023 El Nino, an equatorial upwelling experiment near 0°N 153.5°W, a comparison with R/V Antea near 0°N 166°W, and several National Data Buoy Center (NDBC) buoy flybys. A pre-mission comparison against the WHOTS mooring was also conducted from May 30 - June 2, 2023. 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), Dr. Samantha Wills (UW/CICOES), Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Services Division (ESD)), Karen Grissom (NOAA NDBC), Eugene Burger (NOAA PMEL), Yolande Serra (UW CICOES), Dr. Arun Kumar (NOAA National Centers for Environmental Prediction (NCEP)), Dr. Jack Reeves Eyre (NOAA NCEP and ERT), and Jieshun Zhu (NOAA NCEP). Mr. Nathan Anderson (UW CICOES) contributed to the metadata creation. The PMEL TPOS 2023 Mission (aka Mission 6) had three Saildrones: SD1030, SD1033, and SD1079. All were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system. SD1030 and SD1033 were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file) and SD1079 with an EK80 echo sounder. The collaboration with NMFS facilitated the addition of the echo sounder to explore the value of combining physical and fish biomass surveys of the Pacific Islands Regions, with the collaboration's goal of connecting the life cycle with the energy, water, and carbon cycles to improve ecosystem forecasts within Earth system models. The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors at 0.355m, 0.775m, and 1.155m. All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer. Carbon system data (including the CTD data) are served through a separate file. EK80 data will also be provided as a separate file. The vehicles for the 2023 mission were deployed out of Honolulu, HI in June 2023, arriving on station (near 18°N 155°W) to initiate the mission on 22 June 2023. The 120-day mission was extended to 05 Nov 2023, because SD1030 went off-mission early (12 Sept 2023) due to navigational issues.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\n... (74 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1033_tpos_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1033_tpos_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1033_tpos_2023/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1033_tpos_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2023&showErrors=false&email= | NOAA PMEL | sd1033_tpos_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2024.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2024 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1033_tpos_2024.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1033_tpos_2024/ | Saildrone 1033 NOAA PMEL TPOS 2024 (Pacific) | NOAA PMEL TPOS 2024 Saildrone 1033. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) Tropical Pacific Observing System (TPOS) 2024 Mission (Mission 7) to the central tropical Pacific. The mission started on Oct 30, 2024 with a transect along the 125°W meridian from 10°N to 6°N, where the USVs then caught favorable currents to intercept the National Science Foundation (NSF)-funded Mixing belOw Tropical Instability waVEs (MOTIVE) cruise near 1°N 138°W. The MOTIVE cruise featured a drifting array of University of Washington (UW) Applied Physics Laboratory (APL) Wirewalkers and a UW profiling glider (glider PI: Katie Kohlman (UW School of Oceanography)), against which the Saildrones conducted a coordinated frontal study (Nov 22 - 26, 2024). For more information on the MOTIVE cruise, see https://www.polarsteps.com/AnnaAndTheWater/14669345-motive-cruise-i. An upwelling experiment and Tropical Atmosphere/Ocean (TAO) intercomparison at 0°N 140°W was also performed (Dec 2 - 5) before the drones were swept westward by stronger-than-usual equatorial currents associated with the La Niña. Additional scientific objectives accomplished included observations of convective cold pool events, sharp fronts of submeso- and meso-scale processes within Tropical Instability Waves, and a return to the 140°W meridian leveraging North Equatorial Countercurrent (NECC) under the Inter-Tropical Convergence Zone (ITCZ). This mission was supported through the NOAA OMAO Uncrewed Systems Operation Center (UxSOC) funded project titled \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System\", which follows the implementation strategy laid out by the Uncrewed Marine Systems (UMS) 2022 \"Research to Operations - Component Service Transition Plan Volume 1-C\". The PIs and mission managers were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Yolande Serra (UW CICOES), and Dr. Elizabeth McGeorge (UW CICOES). Other PIs for this mission include: Dr. Adrienne Sutton (NOAA PMEL) for ASVCO2 measurements, Eugene Burger (NOAA PMEL) for data stream issues, Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC)) for fisheries applications (note: there was no EK80 deployed during this mission), Ian Sears and Stephanie Ray (both at NOAA National Data Buoy Center (NDBC)) for coordination with NDBC TPOS components, and Drs. Arun Kumar and Jieshun Zhu (both at NOAA National Centers for Environmental Prediction (NCEP)) for operational weather, climate and ocean applications. In addition to being part of the mission management team, Mr. Nathan Anderson worked with Ms. Ellen Koukel (both of UW CICOES) on the metadata creation and data archiving. The PMEL TPOS 2024 Mission (aka Mission 7) had two Saildrones: SD1033 and SD1090. Both were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system. Both were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file). The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors nominally located at 0.33m, 0.75m, and 1.03m. All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer (on a standalone data logger and processed separately). Carbon system data (including the CTD data) are also served through a separate file. The vehicles for the 2024 mission were deployed out of Alameda, CA, arriving on station (10°N 125°W) to initiate the mission on 30 Oct 2024. The 98-day mission was terminated 4 Feb 2025 after anemometers failed on both SD1090 (Jan 15) and SD1033 (Jan 18).\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (80 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1033_tpos_2024_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1033_tpos_2024_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1033_tpos_2024/index.htmlTable | https://www.pmel.noaa.gov/ocs/saildrone;
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1033_tpos_2024.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2024&showErrors=false&email= | NOAA/PMEL | sd1033_tpos_2024 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1079_tpos_2023.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1079_tpos_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1079_tpos_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1079_tpos_2023/ | Saildrone 1079 NOAA PMEL TPOS 2023 (Pacific) | NOAA PMEL TPOS 2023 Saildrone 1079. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) TPOS 2023 Mission (Mission 6) to the central tropical Pacific along the 155°W meridian, west along the equator, and returning north roughly along the 170°W meridian. This mission was funded by NOAA OMAO UxSOC and the UMS 2022 project to implement the Research to Operations - Component Service Transition Plan Volume 1-C \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System (TPOS)\". This TPOS-2023 mission, focused on observing air-sea interaction processes and CO2 fluxes associated with the developing 2023 El Nino, an equatorial upwelling experiment near 0°N 153.5°W, a comparison with R/V Antea near 0°N 166°W, and several National Data Buoy Center (NDBC) buoy flybys. A pre-mission comparison against the WHOTS mooring was also conducted from May 30 - June 2, 2023. 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), Dr. Samantha Wills (UW/CICOES), Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC) Ecosystem Services Division (ESD)), Karen Grissom (NOAA NDBC), Eugene Burger (NOAA PMEL), Yolande Serra (UW CICOES), Dr. Arun Kumar (NOAA National Centers for Environmental Prediction (NCEP)), Dr. Jack Reeves Eyre (NOAA NCEP and ERT), and Jieshun Zhu (NOAA NCEP). Mr. Nathan Anderson (UW CICOES) contributed to the metadata creation. The PMEL TPOS 2023 Mission (aka Mission 6) had three Saildrones: SD1030, SD1033, and SD1079. All were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system. SD1030 and SD1033 were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file) and SD1079 with an EK80 echo sounder. The collaboration with NMFS facilitated the addition of the echo sounder to explore the value of combining physical and fish biomass surveys of the Pacific Islands Regions, with the collaboration's goal of connecting the life cycle with the energy, water, and carbon cycles to improve ecosystem forecasts within Earth system models. The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors at 0.355m, 0.775m, and 1.155m. All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer. Carbon system data (including the CTD data) are served through a separate file. EK80 data will also be provided as a separate file. The vehicles for the 2023 mission were deployed out of Honolulu, HI in June 2023, arriving on station (near 18°N 155°W) to initiate the mission on 22 June 2023. The 120-day mission was extended to 05 Nov 2023, because SD1030 went off-mission early (12 Sept 2023) due to navigational issues.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\n... (74 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1079_tpos_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1079_tpos_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1079_tpos_2023/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1079_tpos_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1079_tpos_2023&showErrors=false&email= | NOAA PMEL | sd1079_tpos_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1090_tpos_2024.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1090_tpos_2024 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1090_tpos_2024.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1090_tpos_2024/ | Saildrone 1090 NOAA PMEL TPOS 2024 (Pacific) | NOAA PMEL TPOS 2024 Saildrone 1090. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV) (i.e., \"saildrone\") core MetOcean sensors for the NOAA Pacific Marine Environmental Laboratory (PMEL) Tropical Pacific Observing System (TPOS) 2024 Mission (Mission 7) to the central tropical Pacific. The mission started on Oct 30, 2024 with a transect along the 125°W meridian from 10°N to 6°N, where the USVs then caught favorable currents to intercept the National Science Foundation (NSF)-funded Mixing belOw Tropical Instability waVEs (MOTIVE) cruise near 1°N 138°W. The MOTIVE cruise featured a drifting array of University of Washington (UW) Applied Physics Laboratory (APL) Wirewalkers and a UW profiling glider (glider PI: Katie Kohlman (UW School of Oceanography)), against which the Saildrones conducted a coordinated frontal study (Nov 22 - 26, 2024). For more information on the MOTIVE cruise, see https://www.polarsteps.com/AnnaAndTheWater/14669345-motive-cruise-i. An upwelling experiment and Tropical Atmosphere/Ocean (TAO) intercomparison at 0°N 140°W was also performed (Dec 2 - 5) before the drones were swept westward by stronger-than-usual equatorial currents associated with the La Niña. Additional scientific objectives accomplished included observations of convective cold pool events, sharp fronts of submeso- and meso-scale processes within Tropical Instability Waves, and a return to the 140°W meridian leveraging North Equatorial Countercurrent (NECC) under the Inter-Tropical Convergence Zone (ITCZ). This mission was supported through the NOAA OMAO Uncrewed Systems Operation Center (UxSOC) funded project titled \"Uncrewed Surface Vehicles (USV) integrated within the Tropical Pacific Observing System\", which follows the implementation strategy laid out by the Uncrewed Marine Systems (UMS) 2022 \"Research to Operations - Component Service Transition Plan Volume 1-C\". The PIs and mission managers were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Cooperative Institute for Climate, Ocean, and Ecosystem Studies (UW CICOES)), Dr. Yolande Serra (UW CICOES), and Dr. Elizabeth McGeorge (UW CICOES). Other PIs for this mission include: Dr. Adrienne Sutton (NOAA PMEL) for ASVCO2 measurements, Eugene Burger (NOAA PMEL) for data stream issues, Dr. Réka Domokos (NOAA National Marine Fisheries Service (NMFS) Pacific Islands Fisheries Science Center (PIFSC)) for fisheries applications (note: there was no EK80 deployed during this mission), Ian Sears and Stephanie Ray (both at NOAA National Data Buoy Center (NDBC)) for coordination with NDBC TPOS components, and Drs. Arun Kumar and Jieshun Zhu (both at NOAA National Centers for Environmental Prediction (NCEP)) for operational weather, climate and ocean applications. In addition to being part of the mission management team, Mr. Nathan Anderson worked with Ms. Ellen Koukel (both of UW CICOES) on the metadata creation and data archiving. The PMEL TPOS 2024 Mission (aka Mission 7) had two Saildrones: SD1033 and SD1090. Both were standard Gen 6 drones with the core MetOcean package and an ASVCO2 Gen2 carbon flux system. Both were equipped with Acoustic Doppler Current Profilers (ADCPs) at 1.86m (not included in this file). The core Conductivity, Temperature, Depth (CTD) sensor was an SBE 37-SMP at 1.7m, and a temperature logger RBR Coda^3 T at 0.5m, with 3x PMEL-provided self-logging SBE56 Temperature sensors nominally located at 0.33m, 0.75m, and 1.03m. All drones had a PMEL-provided SPN1 shielded shortwave radiometer and a Kipp and Zonen longwave radiometer (on a standalone data logger and processed separately). Carbon system data (including the CTD data) are also served through a separate file. The vehicles for the 2024 mission were deployed out of Alameda, CA, arriving on station (10°N 125°W) to initiate the mission on 30 Oct 2024. The 98-day mission was terminated 4 Feb 2025 after anemometers failed on both SD1090 (Jan 15) and SD1033 (Jan 18).\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (80 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1090_tpos_2024_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1090_tpos_2024_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1090_tpos_2024/index.htmlTable | https://www.pmel.noaa.gov/ocs/saildrone;
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1090_tpos_2024.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1090_tpos_2024&showErrors=false&email= | NOAA/PMEL | sd1090_tpos_2024 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2013 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2013.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2013/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2013/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2013_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2013_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2013/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2013.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2013&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2013 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2014 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2014.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2014/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2014/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2014 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2014_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2014_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2014/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2014.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2014&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2014 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2015 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2015.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2015/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2015/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2015 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2015_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2015_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2015/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2015.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2015&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2015 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2016 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2016.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2016/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2016/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2016 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2016_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2016_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2016/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2016.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2016&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2016 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2017 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2017.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2017/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2017/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2017 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2017_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2017_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2017/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2017.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2017&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2017 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2018 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2018.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2018/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2018/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2018 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2018_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2018_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2018/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2018.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2018&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2018 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2019 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2019.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2019/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2019/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2019 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2019_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2019_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2019/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2019.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2019&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2019 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2020 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2020.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2020/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2020/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2020 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2020_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2020_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2020/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2020.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2020&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2020 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2021 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2021.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2021/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2021/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2021 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2021_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2021_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2021/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2021.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2021&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2021 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2022 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2022.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2022/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2022/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2022 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2022_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2022_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2022/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2022.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2022&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2022 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/ascat_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/ascat_2023/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/ascat_2023/ | Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2023 (1 Day) | NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites. ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/ascat_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/ascat_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/ascat_2023/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/ascat_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=ascat_2023&showErrors=false&email= | NOAA NMFS SWFSC ERD | ascat_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_1999 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_1999.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/quikscat_1999/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/quikscat_1999/ | Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 1999 (1 Day) | Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/quikscat_1999_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/quikscat_1999_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/quikscat_1999/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QS_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/quikscat_1999.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=quikscat_1999&showErrors=false&email= | NOAA NMFS SWFSC ERD | quikscat_1999 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2000 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2000.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/quikscat_2000/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/quikscat_2000/ | Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2000 (1 Day) | Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/quikscat_2000_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/quikscat_2000_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/quikscat_2000/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QS_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/quikscat_2000.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=quikscat_2000&showErrors=false&email= | NOAA NMFS SWFSC ERD | quikscat_2000 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2001 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2001.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/quikscat_2001/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/quikscat_2001/ | Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2001 (1 Day) | Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/quikscat_2001_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/quikscat_2001_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/quikscat_2001/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QS_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/quikscat_2001.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=quikscat_2001&showErrors=false&email= | NOAA NMFS SWFSC ERD | quikscat_2001 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2002 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2002.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/quikscat_2002/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/quikscat_2002/ | Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2002 (1 Day) | Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/quikscat_2002_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/quikscat_2002_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/quikscat_2002/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QS_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/quikscat_2002.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=quikscat_2002&showErrors=false&email= | NOAA NMFS SWFSC ERD | quikscat_2002 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2003 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2003.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/quikscat_2003/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/quikscat_2003/ | Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2003 (1 Day) | Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/quikscat_2003_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/quikscat_2003_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/quikscat_2003/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QS_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/quikscat_2003.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=quikscat_2003&showErrors=false&email= | NOAA NMFS SWFSC ERD | quikscat_2003 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2004 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2004.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/quikscat_2004/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/quikscat_2004/ | Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2004 (1 Day) | Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/quikscat_2004_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/quikscat_2004_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/quikscat_2004/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QS_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/quikscat_2004.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=quikscat_2004&showErrors=false&email= | NOAA NMFS SWFSC ERD | quikscat_2004 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2005 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2005.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/quikscat_2005/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/quikscat_2005/ | Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2005 (1 Day) | Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/quikscat_2005_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/quikscat_2005_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/quikscat_2005/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QS_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/quikscat_2005.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=quikscat_2005&showErrors=false&email= | NOAA NMFS SWFSC ERD | quikscat_2005 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2006 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2006.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/quikscat_2006/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/quikscat_2006/ | Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2006 (1 Day) | Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/quikscat_2006_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/quikscat_2006_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/quikscat_2006/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QS_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/quikscat_2006.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=quikscat_2006&showErrors=false&email= | NOAA NMFS SWFSC ERD | quikscat_2006 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2007 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2007.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/quikscat_2007/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/quikscat_2007/ | Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2007 (1 Day) | Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/quikscat_2007_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/quikscat_2007_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/quikscat_2007/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QS_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/quikscat_2007.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=quikscat_2007&showErrors=false&email= | NOAA NMFS SWFSC ERD | quikscat_2007 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2008 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/quikscat_2008.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/quikscat_2008/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/quikscat_2008/ | Wind, QuikSCAT SeaWinds, 0.125°, Global, Science Quality, 2008 (1 Day) | Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite. SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean. Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):\nwind_speed (Wind Speed at 10 meters, m s-1)\nx_wind (Zonal Wind, m s-1)\ny_wind (Meridional Wind, m s-1)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/quikscat_2008_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/quikscat_2008_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/quikscat_2008/index.htmlTable | https://coastwatch.pfeg.noaa.gov/infog/QS_ux10_las.html
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/quikscat_2008.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=quikscat_2008&showErrors=false&email= | NOAA NMFS SWFSC ERD | quikscat_2008 |