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ERDDAP
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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/argo_float_pacific_2021_v1.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/argo_float_pacific_2021_v1 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/argo_float_pacific_2021_v1.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/argo_float_pacific_2021_v1/ | Argo Float Vertical Profile Pacific_Ocean_2021 | Argo float vertical profile (Argo Float Vertical Profile Pacific_Ocean_2021)\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (Precise Time, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Quality on date and time)\nDIRECTION (Direction of the station profiles)\nPLATFORM_NUMBER (Float unique identifier)\nDATA_CENTRE (Data centre in charge of float data processing)\nDATA_MODE (Delayed mode or real time data)\nlatitude (Latitude of the station, best estimate, degrees_north)\nlongitude (Longitude of the station, best estimate, degrees_east)\nPOSITION_QC (Quality on position (latitude and longitude))\nPOSITIONING_SYSTEM\nPRES (Sea water pressure, equals 0 at sea-level, decibar)\nPRES_QC (quality flag)\nPRES_ADJUSTED (Sea water pressure, equals 0 at sea-level, decibar)\nPRES_ADJUSTED_QC (quality flag)\nPRES_ADJUSTED_ERROR (Contains the error on the adjusted values as determined by the delayed mode QC process, decibar)\nTEMP (Sea temperature in-situ ITS-90 scale, degree_Celsius)\nTEMP_QC (quality flag)\nTEMP_ADJUSTED (Sea temperature in-situ ITS-90 scale, degree_Celsius)\nTEMP_ADJUSTED_QC (quality flag)\nTEMP_ADJUSTED_ERROR (Contains the error on the adjusted values as determined by the delayed mode QC process, degree_Celsius)\nPSAL (Practical Salinity, PSU)\nPSAL_QC (quality flag)\nPSAL_ADJUSTED (Practical Salinity, PSU)\nPSAL_ADJUSTED_QC (quality flag)\nPSAL_ADJUSTED_ERROR (Contains the error on the adjusted values as determined by the delayed mode QC process, PSU)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/argo_float_pacific_2021_v1_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/argo_float_pacific_2021_v1_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/argo_float_pacific_2021_v1/index.htmlTable | http://www.argodatamgt.org/Documentation
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/argo_float_pacific_2021_v1.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=argo_float_pacific_2021_v1&showErrors=false&email= | FR GDAC | argo_float_pacific_2021_v1 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/argo_float_pacific_2022_2024 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/argo_float_pacific_2022_2024.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/argo_float_pacific_2022_2024/ | Argo Float Vertical Profile Pacific_Ocean_2022_2024 | Argo float vertical profile (Argo Float Vertical Profile Pacific_Ocean_2022)\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (Precise Time, seconds since 1970-01-01T00:00:00Z)\nTIME_QC (Quality on date and time)\nDIRECTION (Direction of the station profiles)\nPLATFORM_NUMBER (Float unique identifier)\nDATA_CENTRE (Data centre in charge of float data processing)\nDATA_MODE (Delayed mode or real time data)\nlatitude (Latitude of the station, best estimate, degrees_north)\nlongitude (Longitude of the station, best estimate, degrees_east)\nPOSITION_QC (Quality on position (latitude and longitude))\nPOSITIONING_SYSTEM\nPRES (Sea water pressure, equals 0 at sea-level, decibar)\nPRES_QC (quality flag)\nPRES_ADJUSTED (Sea water pressure, equals 0 at sea-level, decibar)\nPRES_ADJUSTED_QC (quality flag)\nPRES_ADJUSTED_ERROR (Contains the error on the adjusted values as determined by the delayed mode QC process, decibar)\nTEMP (Sea temperature in-situ ITS-90 scale, degree_Celsius)\nTEMP_QC (quality flag)\nTEMP_ADJUSTED (Sea temperature in-situ ITS-90 scale, degree_Celsius)\nTEMP_ADJUSTED_QC (quality flag)\nTEMP_ADJUSTED_ERROR (Contains the error on the adjusted values as determined by the delayed mode QC process, degree_Celsius)\nPSAL (Practical Salinity, PSU)\nPSAL_QC (quality flag)\nPSAL_ADJUSTED (Practical Salinity, PSU)\nPSAL_ADJUSTED_QC (quality flag)\nPSAL_ADJUSTED_ERROR (Contains the error on the adjusted values as determined by the delayed mode QC process, PSU)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/argo_float_pacific_2022_2024_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/argo_float_pacific_2022_2024_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/argo_float_pacific_2022_2024/index.htmlTable | http://www.argodatamgt.org/Documentation
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/argo_float_pacific_2022_2024.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=argo_float_pacific_2022_2024&showErrors=false&email= | FR GDAC | argo_float_pacific_2022_2024 | |||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2023_04_06.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2023_04_06 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/GLIDERS_2023_04_06.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/GLIDERS_2023_04_06/ | GLIDERS_MISSIONS_2023 Apr_Jun | ru41-20230420T1638. This project is conducting a seasonal baseline survey with a pair of gliders (this glider and RU39) deployed in each season over two years with a full complement of available sensors to simultaneously map oceanographic and ecological variables. This glider is equipped with a Conductivity, Temperature, Depth (CTD), a WETLabs FLBBCD ECO puck configured for simultaneous chlorophyll fluorescence and optical backscatter measurements, an Aanderaa Optode for measuring dissolved oxygen, a DMON passive acoustic sensor for the detection of marine mammals, and an Rx-LIVE fish telemetry receiver to track tagged species moving through the region. This approximately 21- to 30-day deployment out of Sandy Hook, New Jersey will run a zig-zag transect along the coast of New Jersey, in and around current and planned offshore wind lease areas, with a planned recovery out of Tuckerton, New Jersey. The real-time dataset contains CTD, chlorophyll a, Colored Dissolved Organic Matter (CDOM), optical backscatter, and dissolved oxygen measurements. The display of baleen whale occurrence information will be available in near real-time on the Robots4Whales website: http://robots4whales.whoi.edu. Vemco acoustically-derived data will be processed post-deployment.\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)\n... (10 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/GLIDERS_2023_04_06_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/GLIDERS_2023_04_06_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/GLIDERS_2023_04_06/index.htmlTable | https://rucool.marine.rutgers.edu
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/GLIDERS_2023_04_06.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=GLIDERS_2023_04_06&showErrors=false&email= | Skidaway Institute of Oceanography | GLIDERS_2023_04_06 | ||
| 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/griddap/SEA_SURFACE_HEIGHT_NRT_2022 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEA_SURFACE_HEIGHT_NRT_2022.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEA_SURFACE_HEIGHT_NRT_2022/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEA_SURFACE_HEIGHT_NRT_2022/ | NRT merged all satellites Global Ocean Gridded SSALTO/DUACS Sea Surface Height L4 product and derived variables 2022 | SSALTO/DUACS Near-Real-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nadt (Absolute dynamic topography, m)\nugos (Absolute geostrophic velocity: zonal component, m/s)\nvgos (Absolute geostrophic velocity: meridian component, m/s)\nsla (Sea level anomaly, m)\nugosa (Geostrophic velocity anomalies: zonal component, m/s)\nvgosa (Geostrophic velocity anomalies: meridian component, m/s)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEA_SURFACE_HEIGHT_NRT_2022_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEA_SURFACE_HEIGHT_NRT_2022_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEA_SURFACE_HEIGHT_NRT_2022/index.htmlTable | http://marine.copernicus.eu
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEA_SURFACE_HEIGHT_NRT_2022.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEA_SURFACE_HEIGHT_NRT_2022&showErrors=false&email= | CLS, CNES | SEA_SURFACE_HEIGHT_NRT_2022 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEA_SURFACE_HEIGHT_NRT_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEA_SURFACE_HEIGHT_NRT_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEA_SURFACE_HEIGHT_NRT_2023/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEA_SURFACE_HEIGHT_NRT_2023/ | NRT merged all satellites Global Ocean Gridded SSALTO/DUACS Sea Surface Height L4 product and derived variables 2023 | SSALTO/DUACS Near-Real-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nadt (Absolute dynamic topography, m)\nugos (Absolute geostrophic velocity: zonal component, m/s)\nvgos (Absolute geostrophic velocity: meridian component, m/s)\nsla (Sea level anomaly, m)\nugosa (Geostrophic velocity anomalies: zonal component, m/s)\nvgosa (Geostrophic velocity anomalies: meridian component, m/s)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEA_SURFACE_HEIGHT_NRT_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEA_SURFACE_HEIGHT_NRT_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEA_SURFACE_HEIGHT_NRT_2023/index.htmlTable | http://marine.copernicus.eu
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEA_SURFACE_HEIGHT_NRT_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEA_SURFACE_HEIGHT_NRT_2023&showErrors=false&email= | CLS, CNES | SEA_SURFACE_HEIGHT_NRT_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEA_SURFACE_HEIGHT_NRT_2024 | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SEA_SURFACE_HEIGHT_NRT_2024.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SEA_SURFACE_HEIGHT_NRT_2024/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SEA_SURFACE_HEIGHT_NRT_2024/ | NRT merged all satellites Global Ocean Gridded SSALTO/DUACS Sea Surface Height L4 product and derived variables 2024 | SSALTO/DUACS Near-Real-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nadt (Absolute dynamic topography, m)\nugos (Absolute geostrophic velocity: zonal component, m/s)\nvgos (Absolute geostrophic velocity: meridian component, m/s)\nsla (Sea level anomaly, m)\nugosa (Geostrophic velocity anomalies: zonal component, m/s)\nvgosa (Geostrophic velocity anomalies: meridian component, m/s)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SEA_SURFACE_HEIGHT_NRT_2024_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SEA_SURFACE_HEIGHT_NRT_2024_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SEA_SURFACE_HEIGHT_NRT_2024/index.htmlTable | http://marine.copernicus.eu
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SEA_SURFACE_HEIGHT_NRT_2024.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SEA_SURFACE_HEIGHT_NRT_2024&showErrors=false&email= | CLS, CNES | SEA_SURFACE_HEIGHT_NRT_2024 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2017.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2017 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2017.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1005_2017/ | Saildrone 1005 NOAA PMEL TPOS 2017 NRT (Pacific) | NOAA PMEL TPOS 2017 NRT Saildrone 1005. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2017 Mission (Mission 1) to the eastern tropical Pacific (10N, 125W and 0, 125W). This was the first of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. The PMEL TPOS 2017 Mission (aka Mission 1) had two Gen-4 Saildrones, each with a full atmospheric and ocean core sensor suite, an Acoustic Doppler Current Profiler (ADCP), and an ASVCO2 carbon flux and pH system. The two drones were deployed out of Alameda, CA on September 1, 2017 for a mission in the equatorial Pacific. After sailing near the CCE1 mooring off coastal California, the drones proceeded to the area near 10N, 125W. They remained in the area from October 18 - November 13, 2017 to participate in the Salinity Processes in the Upper Ocean Regional Study (SPURS)-2 field study, which included side-by-side data acquisition with a Woods Hole Oceanographic Institution (WHOI) buoy, and the R/V REVELLE. When SPURS-2 ended, the drones sailed south on either side of 125W, stopping for comparisons against Tropical Atmosphere/Ocean (TAO) moorings at 8N, 5N, and 2N. After crossing the equator, the drones returned to California. SD-1005 was recovered in San Luis Obispo Bay on May 6, 2018. SD-1006 was recovered from San Francisco Bay on May 18, 2018.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nTEMP_O2_STDDEV (Seawater temperature SD, degree_C)\nSW_UNMASKED_IRRAD_CENTER_MEAN (Shortwave total radiation measured by unmasked center detector, W m-2)\nCHLOR_MEAN (Chlorophyll concentration, microgram L-1)\nRH_MEAN (Relative humidity, percent)\nRH_QC (quality flag)\nRH_DM (data mode)\n... (56 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1005_2017_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1005_2017_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1005_2017/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1005_2017.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1005_2017&showErrors=false&email= | NOAA PMEL | sd1005_2017 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2018.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2018 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1005_2018.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1005_2018/ | Saildrone 1005 NOAA PMEL TPOS 2018 NRT (Pacific) | NOAA PMEL TPOS 2018 NRT Saildrone 1005. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work. The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W. Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nlatitude_QC (quality flag, degrees_north)\n... (60 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1005_2018_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1005_2018_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1005_2018/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1005_2018.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1005_2018&showErrors=false&email= | NOAA PMEL | sd1005_2018 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2017.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2017 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2017.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1006_2017/ | Saildrone 1006 NOAA PMEL TPOS 2017 NRT (Pacific) | NOAA PMEL TPOS 2017 NRT Saildrone 1006. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2017 Mission (Mission 1) to the eastern tropical Pacific (10N, 125W and 0, 125W). This was the first of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. The PMEL TPOS 2017 Mission (aka Mission 1) had two Gen-4 Saildrones, each with a full atmospheric and ocean core sensor suite, an Acoustic Doppler Current Profiler (ADCP), and an ASVCO2 carbon flux and pH system. The two drones were deployed out of Alameda, CA on September 1, 2017 for a mission in the equatorial Pacific. After sailing near the CCE1 mooring off coastal California, the drones proceeded to the area near 10N, 125W. They remained in the area from October 18 - November 13, 2017 to participate in the Salinity Processes in the Upper Ocean Regional Study (SPURS)-2 field study, which included side-by-side data acquisition with a Woods Hole Oceanographic Institution (WHOI) buoy, and the R/V REVELLE. When SPURS-2 ended, the drones sailed south on either side of 125W, stopping for comparisons against Tropical Atmosphere/Ocean (TAO) moorings at 8N, 5N, and 2N. After crossing the equator, the drones returned to California. SD-1005 was recovered in San Luis Obispo Bay on May 6, 2018. SD-1006 was recovered from San Francisco Bay on May 18, 2018.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nTEMP_O2_STDDEV (Seawater temperature SD, degree_C)\nSW_UNMASKED_IRRAD_CENTER_MEAN (Shortwave total radiation measured by unmasked center detector, W m-2)\nCHLOR_MEAN (Chlorophyll concentration, microgram L-1)\nRH_MEAN (Relative humidity, percent)\nRH_QC (quality flag)\nRH_DM (data mode)\n... (56 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1006_2017_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1006_2017_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1006_2017/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1006_2017.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1006_2017&showErrors=false&email= | NOAA PMEL | sd1006_2017 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2018.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2018 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1006_2018.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1006_2018/ | Saildrone 1006 NOAA PMEL TPOS 2018 NRT (Pacific) | NOAA PMEL TPOS 2018 NRT Saildrone 1006. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work. The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W. Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nlatitude_QC (quality flag, degrees_north)\n... (60 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1006_2018_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1006_2018_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1006_2018/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1006_2018.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1006_2018&showErrors=false&email= | NOAA PMEL | sd1006_2018 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1029_2018.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1029_2018 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1029_2018.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1029_2018/ | Saildrone 1029 NOAA PMEL TPOS 2018 NRT (Pacific) | NOAA PMEL TPOS 2018 NRT Saildrone 1029. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work. The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W. Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nlatitude_QC (quality flag, degrees_north)\n... (84 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1029_2018_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1029_2018_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1029_2018/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1029_2018.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1029_2018&showErrors=false&email= | NOAA PMEL | sd1029_2018 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_2018.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_2018 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1030_2018.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1030_2018/ | Saildrone 1030 NOAA PMEL TPOS 2018 NRT (Pacific) | NOAA PMEL TPOS 2018 NRT Saildrone 1030. This file contains near-real time data from the Saildrone core sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2018 Mission (Mission 2) to the central equatorial Pacific (0, 140W). This was the second of three missions funded by NOAA Office of Oceanic and Atmospheric Research (OAR)/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2018 Mission (aka Mission 2) had four Saildrones: SD1005 and SD1006 were Gen 4 drones, and SD1029 and SD1030 were Gen 5 drones equipped with a larger wing designed for equatorial work. The drones were each equipped with full atmospheric and ocean core sensor suite, and an Acoustic Doppler Current Profiler (ADCP) (not included in this file). SD1029 & SD1030 also carried shortwave and longwave radiation (included in core set) and an ASVCO2 carbon flux and pH system; these carbon data are served in a separate file. SD1029 had 3 strap-on SBE56 temperature sensors (at 0.35m, 1.16m, and 1.72m) to study the near-surface stratification. For the Gen5 drones, the core Conductivity, Temperature, Depth (CTD) was an RBR located in the flowthrough tunnel in the keel. The carbon system also had an independent prawler CTD that is higher quality than the RBR. The vehicles were deployed out of Honolulu, HI on October 3, 2018. After sailing near a PMEL Carbon mooring in Kaneohe Bay, HI, the drones proceeded to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W. Three drones completed a circuit around the mooring, and then began their transit south towards the equator. Two drones made it to the equator and sailed near the TAO moorings at 0, 140W. Navigation issues caused the mission to be aborted early (mid-December 2018), before further science tasks could be completed. Three Saildrones were recovered in Honolulu on 01-27-19. SD1030 was recovered in HI later in the spring of 2019.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntrajectory (Trajectory/Drone ID)\nlatitude_QC (quality flag, degrees_north)\n... (84 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1030_2018_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1030_2018_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1030_2018/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1030_2018.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1030_2018&showErrors=false&email= | NOAA PMEL | sd1030_2018 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1065_tpos_2021.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1065_tpos_2021 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1065_tpos_2021.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1065_tpos_2021/ | Saildrone 1065 NOAA PMEL TPOS 2021 (Pacific) | NOAA PMEL TPOS 2021 Saildrone 1065. This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV), aka \"saildrone\", core MetOcean sensors for the NOAA 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. This mission was funded in part by NOAA/OMAO and NOAA/National Ocean Partnership Program (NOPP) as a demonstration project to test saildrone as a research and operational platform for the Tropical Pacific Observing System (TPOS). 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/NCEP/EMC), Karen Grissom (NOAA/National Data Buoy Center (NDBC)), and Dr. Eric Lindstrom (Saildrone, Inc). Dr. Meghan Cronin was the lead PI for the project. 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 Explorer 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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (81 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1065_tpos_2021_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1065_tpos_2021_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1065_tpos_2021/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1065_tpos_2021.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1065_tpos_2021&showErrors=false&email= | NOAA PMEL | sd1065_tpos_2021 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_2019.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_2019 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_2019.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1066_2019/ | Saildrone 1066 NOAA PMEL TPOS 2019 NRT (Pacific) | NOAA PMEL TPOS 2019 NRT Saildrone 1066. This file contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W). This was the third of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Dr. Samantha Wills (UW JISAO) was a postdoctoral fellow with the project, acting as a PI and Mission Manager during this mission. Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2019 Mission (aka Mission 3) had four Saildrones: SD1066, SD1067, SD1068 and SD1069. All were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this file) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. In addition, SD1066 and SD1067 had ASVCO2 carbon flux and pH system, a 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 were deployed out of Honolulu, HI on 9 June 2019. After performing ADCP bottom track testing on Penguin Bank, the drones proceeded to WHOTS for an intercomparison. On 17 June 2019, SD 1067 returned to shore for servicing. Following its ADCP bottom tracking tested again, on 20 June 2019 all 4 drones began their transit to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W, and then south towards the equator. In addition to intercomparisons against the 0N, 140W TAO buoy, several experiments were performed to survey scales of variability in the equatorial region and the structure of the cold tongue front. An experiment in the InterTropical Convergence Zone (ITCZ) was then performed before returning to Hawaii for a final intercomparison against the WHOTS mooring, a newly deployed PMEL test TELOS surface mooring and test PRAWLER mooring which carried a test Z-Cell ADCP on its bridal. The mission ended on December 20, 2019. All four Saildrones were recovered in Honolulu in early January 2020.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (124 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1066_2019_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1066_2019_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1066_2019/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1066_2019.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1066_2019&showErrors=false&email= | NOAA PMEL | sd1066_2019 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_tpos_2021.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_tpos_2021 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1066_tpos_2021.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1066_tpos_2021/ | Saildrone 1066 NOAA PMEL TPOS 2021 (Pacific) | This file contains data from the Saildrone Inc. Uncrewed Surface Vehicle (USV), aka \"saildrone\", core MetOcean sensors for the NOAA 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. This mission was funded in part by NOAA/OMAO and NOAA/National Ocean Partnership Program (NOPP) as a demonstration project to test saildrone as a research and operational platform for the Tropical Pacific Observing System (TPOS). 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/NCEP/EMC), Karen Grissom (NOAA/National Data Buoy Center (NDBC)), and Dr. Eric Lindstrom (Saildrone, Inc). Dr. Meghan Cronin was the lead PI for the project. 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 Explorer 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:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (75 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1066_tpos_2021_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1066_tpos_2021_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1066_tpos_2021/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1066_tpos_2021.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1066_tpos_2021&showErrors=false&email= | NOAA PMEL | sd1066_tpos_2021 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1067_2019.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1067_2019 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1067_2019.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1067_2019/ | Saildrone 1067 NOAA PMEL TPOS 2019 NRT (Pacific) | NOAA PMEL TPOS 2019 NRT Saildrone 1067. This file contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W). This was the third of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Dr. Samantha Wills (UW JISAO) was a postdoctoral fellow with the project, acting as a PI and Mission Manager during this mission. Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2019 Mission (aka Mission 3) had four Saildrones: SD1066, SD1067, SD1068 and SD1069. All were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this file) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. In addition, SD1066 and SD1067 had ASVCO2 carbon flux and pH system, a 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 were deployed out of Honolulu, HI on 9 June 2019. After performing ADCP bottom track testing on Penguin Bank, the drones proceeded to WHOTS for an intercomparison. On 17 June 2019, SD 1067 returned to shore for servicing. Following its ADCP bottom tracking tested again, on 20 June 2019 all 4 drones began their transit to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W, and then south towards the equator. In addition to intercomparisons against the 0N, 140W TAO buoy, several experiments were performed to survey scales of variability in the equatorial region and the structure of the cold tongue front. An experiment in the InterTropical Convergence Zone (ITCZ) was then performed before returning to Hawaii for a final intercomparison against the WHOTS mooring, a newly deployed PMEL test TELOS surface mooring and test PRAWLER mooring which carried a test Z-Cell ADCP on its bridal. The mission ended on December 20, 2019. All four Saildrones were recovered in Honolulu in early January 2020.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (124 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1067_2019_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1067_2019_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1067_2019/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1067_2019.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1067_2019&showErrors=false&email= | NOAA PMEL | sd1067_2019 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1068_2019.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1068_2019 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1068_2019.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1068_2019/ | Saildrone 1068 NOAA PMEL TPOS 2019 NRT (Pacific) | NOAA PMEL TPOS 2019 NRT Saildrone 1068. This file contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W). This was the third of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Dr. Samantha Wills (UW JISAO) was a postdoctoral fellow with the project, acting as a PI and Mission Manager during this mission. Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2019 Mission (aka Mission 3) had four Saildrones: SD1066, SD1067, SD1068 and SD1069. All were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this file) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. In addition, SD1066 and SD1067 had ASVCO2 carbon flux and pH system, a 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 were deployed out of Honolulu, HI on 9 June 2019. After performing ADCP bottom track testing on Penguin Bank, the drones proceeded to WHOTS for an intercomparison. On 17 June 2019, SD 1067 returned to shore for servicing. Following its ADCP bottom tracking tested again, on 20 June 2019 all 4 drones began their transit to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W, and then south towards the equator. In addition to intercomparisons against the 0N, 140W TAO buoy, several experiments were performed to survey scales of variability in the equatorial region and the structure of the cold tongue front. An experiment in the InterTropical Convergence Zone (ITCZ) was then performed before returning to Hawaii for a final intercomparison against the WHOTS mooring, a newly deployed PMEL test TELOS surface mooring and test PRAWLER mooring which carried a test Z-Cell ADCP on its bridal. The mission ended on December 20, 2019. All four Saildrones were recovered in Honolulu in early January 2020.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (116 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1068_2019_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1068_2019_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1068_2019/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1068_2019.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1068_2019&showErrors=false&email= | NOAA PMEL | sd1068_2019 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1069_2019.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1069_2019 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/sd1069_2019.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/sd1069_2019/ | Saildrone 1069 NOAA PMEL TPOS 2019 NRT (Pacific) | NOAA PMEL TPOS 2019 NRT Saildrone 1069. This file contains near-real time data from the Saildrone core MetOcean sensors for the Pacific Marine Environmental Laboratory (PMEL) TPOS 2019 Mission ('Mission 3') to the central equatorial Pacific (0, 140W). This was the third of three missions funded by NOAA/OAR/CPO/OOMD and NOAA/OMAO as a pilot study for the Tropical Pacific Observing System (TPOS)-2020 project. The PIs were Dr. Meghan Cronin (NOAA PMEL), Dr. Dongxiao Zhang (UW Joint Institue for the Study of Atmoshere and Ocean (JISAO)), Dr. Adrienne Sutton (NOAA PMEL), and Mr. Christian Meinig (NOAA PMEL). Dr. Samantha Wills (UW JISAO) was a postdoctoral fellow with the project, acting as a PI and Mission Manager during this mission. Mr. Nathan Anderson contributed to the metadata creation. PMEL TPOS 2019 Mission (aka Mission 3) had four Saildrones: SD1066, SD1067, SD1068 and SD1069. All were standard Gen 5 drones (but with copper paint), with standard wings, not the large wings used in Mission 2. All had an Acoustic Doppler Current Profiler (ADCP) (not included in this file) and the core MetOcean package. The core CTDs were an RBR in the flowthrough tunnel in the keel and a pumped SBE37 at the outflow of the flowthrough tunnel. In addition, SD1066 and SD1067 had ASVCO2 carbon flux and pH system, a 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 were deployed out of Honolulu, HI on 9 June 2019. After performing ADCP bottom track testing on Penguin Bank, the drones proceeded to WHOTS for an intercomparison. On 17 June 2019, SD 1067 returned to shore for servicing. Following its ADCP bottom tracking tested again, on 20 June 2019 all 4 drones began their transit to the Tropical Atmosphere/Ocean (TAO) mooring at 9N, 140W, and then south towards the equator. In addition to intercomparisons against the 0N, 140W TAO buoy, several experiments were performed to survey scales of variability in the equatorial region and the structure of the cold tongue front. An experiment in the InterTropical Convergence Zone (ITCZ) was then performed before returning to Hawaii for a final intercomparison against the WHOTS mooring, a newly deployed PMEL test TELOS surface mooring and test PRAWLER mooring which carried a test Z-Cell ADCP on its bridal. The mission ended on December 20, 2019. All four Saildrones were recovered in Honolulu in early January 2020.\n\ncdm_data_type = Trajectory\nVARIABLES:\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\n... (116 more variables)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/sd1069_2019_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/sd1069_2019_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/sd1069_2019/index.htmlTable | saildrone.com, pmel.noaa.gov | https://erddap.aoml.noaa.gov/hdb/erddap/rss/sd1069_2019.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=sd1069_2019&showErrors=false&email= | NOAA PMEL | sd1069_2019 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2021.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2021 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2021.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2021/ | Saildrone Hurricane Monitoring 2021 NRT data | Saildrone Hurricane Monitoring 2021 Near Real Time (NRT) data, drone 1060. Five Gen6 Saildrone Explorer USVs were launched in the Atlantic Ocean for the duration of the 2021 Atlantic Hurricane Season. These USVs were equipped with a 'hurricane wing' designed specifically to withstand hurricane-strength winds and waves. The five objectives of this mission include (1) advancing the CONOPS of steering and operating USVs towards strong low-pressure systems, (2) coordinating with underwater gliders, (3) developing CONOPS for coordinating with UAVs, (4) developing CONOPS for using multiple USVs to observe the air-sea interface ahead, inside and behind hurricanes, and (5) provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems.\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)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWATER_CURRENT_SPEED_MEAN (Water Current Speed, m s-1)\nWATER_CURRENT_DIRECTION_MEAN (Water Current Direction, degree)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2021_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2021_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2021/index.htmlTable | https://saildrone.com/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2021.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2021&showErrors=false&email= | Saildrone | saildrones_2021 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2022.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2022 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2022.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2022/ | Saildrone Hurricane Monitoring 2022 NRT data | Saildrone Atlantic 2022 Hurricane Monitoring, drone 1084. Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification. This mission will deploy 7 USVs during the 2022 hurricane season to observe the air-sea interaction before, during and after hurricanes. When possible, the deployed USVs will coordinate with other autonomous devices to make coherent observations of the air-sea interface and profiles in the upper ocean and atmospheric marine boundary layer.\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)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2022_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2022_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2022/index.htmlTable | https://saildrone.com/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2022.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2022&showErrors=false&email= | Saildrone | saildrones_2022 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2023.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2023 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2023.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2023/ | Saildrone Hurricane Monitoring 2023 NRT data | Using Uncrewed Surface Vehicles (USV) to observe air-sea interaction associated with Tropical Cyclones (TC), which is critical to TC intensification.\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2023_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2023_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2023/index.htmlTable | https://saildrone.com/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2023.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2023&showErrors=false&email= | Saildrone | saildrones_2023 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2024.subset | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2024 | https://erddap.aoml.noaa.gov/hdb/erddap/tabledap/saildrones_2024.graph | https://erddap.aoml.noaa.gov/hdb/erddap/files/saildrones_2024/ | Saildrone Hurricane Monitoring 2024 NRT data | (1) Real-time steering of USVs toward tropical cyclones and other strong low-pressure systems, based on forecasted tracks and the knowledge and experience gained from the 2021-2023 hurricane missions (2) Continuing to evolve and refine the practice of coordinating USVs and underwater gliders, small uncrewed aerial systems, and other air-deployed or pre-existing instruments (3) Observations of air-sea interactions ahead of, inside, and after hurricanes (4) Provision of real-time data for ingestion to Global Telecommunications System (GTS) and reception by operational data assimilation and forecast systems (5) Near-real time validations of forecast model initialization and output\n\ncdm_data_type = Trajectory\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_SBE37_MEAN (Seawater temperature, degree_C)\nSAL_SBE37_MEAN (Seawater salinity, 1)\nWAVE_DOMINANT_PERIOD (s)\nWAVE_SIGNIFICANT_HEIGHT (m)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/saildrones_2024_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/saildrones_2024_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/saildrones_2024/index.htmlTable | https://saildrone.com/
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/saildrones_2024.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=saildrones_2024&showErrors=false&email= | NOAA Atlantic Oceanographic and Meteorological Laboratory, NOAA PMEL | saildrones_2024 | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SST_OI_DAILY_1981_PRESENT_HL | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SST_OI_DAILY_1981_PRESENT_HL.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SST_OI_DAILY_1981_PRESENT_HL/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SST_OI_DAILY_1981_PRESENT_HL/ | SST Daily Optimum Interpolation (OI)-V2.1, (Advanced Very High Resolution Radiometer (AVHRR)) 1981-present (High Latitudes) | NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Final. NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version v02r01, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (Advanced Very High Resolution Radiometer (AVHRR)) and in situ platforms (i.e., ships and buoys), and the specific datasets employed may change over time. At the marginal ice zone, sea ice concentrations are used to generate proxy SSTs. A preliminary version of this file is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. Note that this is the AVHRR-ONLY DOISST, available from Oct 1981, but there is a companion DOISST product that includes microwave satellite data, available from June 2002\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nice (Sea ice concentration, percent)\nsst (Daily sea surface temperature, degree_C)\nerror (Estimated error standard deviation of analysed_sst, degree_C)\nanom (Daily sea surface temperature anomalies, degree_C)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SST_OI_DAILY_1981_PRESENT_HL_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SST_OI_DAILY_1981_PRESENT_HL_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SST_OI_DAILY_1981_PRESENT_HL/index.htmlTable | https://doi.org/10.25921/RE9P-PT57
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SST_OI_DAILY_1981_PRESENT_HL.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SST_OI_DAILY_1981_PRESENT_HL&showErrors=false&email= | NOAA/National Centers for Environmental Information | SST_OI_DAILY_1981_PRESENT_HL | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SST_OI_DAILY_1981_PRESENT_ML | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SST_OI_DAILY_1981_PRESENT_ML.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SST_OI_DAILY_1981_PRESENT_ML/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SST_OI_DAILY_1981_PRESENT_ML/ | SST Daily Optimum Interpolation (OI)-V2.1, (Advanced Very High Resolution Radiometer (AVHRR)) 1981-present (Mid Latitudes) | NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Final. NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version v02r01, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (Advanced Very High Resolution Radiometer (AVHRR)) and in situ platforms (i.e., ships and buoys), and the specific datasets employed may change over time. At the marginal ice zone, sea ice concentrations are used to generate proxy SSTs. A preliminary version of this file is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. Note that this is the AVHRR-ONLY DOISST, available from Oct 1981, but there is a companion DOISST product that includes microwave satellite data, available from June 2002\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nice (Sea ice concentration, percent)\nsst (Daily sea surface temperature, degree_C)\nerror (Estimated error standard deviation of analysed_sst, degree_C)\nanom (Daily sea surface temperature anomalies, degree_C)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SST_OI_DAILY_1981_PRESENT_ML_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SST_OI_DAILY_1981_PRESENT_ML_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SST_OI_DAILY_1981_PRESENT_ML/index.htmlTable | https://doi.org/10.25921/RE9P-PT57
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SST_OI_DAILY_1981_PRESENT_ML.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SST_OI_DAILY_1981_PRESENT_ML&showErrors=false&email= | NOAA/National Centers for Environmental Information | SST_OI_DAILY_1981_PRESENT_ML | ||
| https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SST_OI_DAILY_1981_PRESENT_T | https://erddap.aoml.noaa.gov/hdb/erddap/griddap/SST_OI_DAILY_1981_PRESENT_T.graph | https://erddap.aoml.noaa.gov/hdb/erddap/wms/SST_OI_DAILY_1981_PRESENT_T/request | https://erddap.aoml.noaa.gov/hdb/erddap/files/SST_OI_DAILY_1981_PRESENT_T/ | SST Daily Optimum Interpolation (OI)-V2.1, (Advanced Very High Resolution Radiometer (AVHRR)) 1981-present (Tropics) | NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Final. NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version v02r01, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (Advanced Very High Resolution Radiometer (AVHRR)) and in situ platforms (i.e., ships and buoys), and the specific datasets employed may change over time. At the marginal ice zone, sea ice concentrations are used to generate proxy SSTs. A preliminary version of this file is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. Note that this is the AVHRR-ONLY DOISST, available from Oct 1981, but there is a companion DOISST product that includes microwave satellite data, available from June 2002\n\ncdm_data_type = Grid\nVARIABLES (all of which use the dimensions [time][latitude][longitude]):\nice (Sea ice concentration, percent)\nsst (Daily sea surface temperature, degree_C)\nerror (Estimated error standard deviation of analysed_sst, degree_C)\nanom (Daily sea surface temperature anomalies, degree_C)\n | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/fgdc/xml/SST_OI_DAILY_1981_PRESENT_T_fgdc.xml | https://erddap.aoml.noaa.gov/hdb/erddap/metadata/iso19115/xml/SST_OI_DAILY_1981_PRESENT_T_iso19115.xml | https://erddap.aoml.noaa.gov/hdb/erddap/info/SST_OI_DAILY_1981_PRESENT_T/index.htmlTable | https://doi.org/10.25921/RE9P-PT57
| https://erddap.aoml.noaa.gov/hdb/erddap/rss/SST_OI_DAILY_1981_PRESENT_T.rss | https://erddap.aoml.noaa.gov/hdb/erddap/subscriptions/add.html?datasetID=SST_OI_DAILY_1981_PRESENT_T&showErrors=false&email= | NOAA/National Centers for Environmental Information | SST_OI_DAILY_1981_PRESENT_T | ||
| 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 |