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griddap Subset tabledap Make A Graph wms files Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990 https://data.pmel.noaa.gov/generic/erddap/tabledap/icoads_arctic_subset_1990.graph International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Arctic Subset from 1990 - 1999 This file contains ICOADS R3.0.0 data in netCDF4 format collected from 1999-12-01T00:00:00Z to 1999-12-31T23:58:47Z. The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) offers surface marine data spanning the past three centuries, and simple gridded monthly summary products for 2-degree latitude x 2-degree longitude boxes back to 1800 (and 1degreex1degree boxes since 1960)--these data and products are freely distributed worldwide. As it contains observations from many different observing systems encompassing the evolution of measurement technology over hundreds of years, ICOADS is probably the most complete and heterogeneous collection of surface marine data in existence.\n\ncdm_data_type = Point\nVARIABLES:\nrow\ntime (seconds since 1970-01-01T00:00:00Z)\ndate (date in YYYYMMDD)\ncrs\nHR (Hour)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTI (Time Indicator)\nLI (Latitude Longitude Indicator)\nDS (Ship's Course)\nVS (Ship's Speed)\nNID\nII (Identification Indicator)\nID (Identification)\nC1 (Country Code)\nDI (Wind Direction Indicator)\nD (Wind Direction, degrees)\nWI (Wind Speed Indicator)\nW (Wind Speed  , m/s)\nVI (Visibility Indicator)\n... (185 more variables)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/icoads_arctic_subset_1990_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/icoads_arctic_subset_1990_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/icoads_arctic_subset_1990/index.htmlTable http://rda.ucar.edu/datasets/ds548.0/docs/R3.0-citation.pdf (external link) https://data.pmel.noaa.gov/generic/erddap/rss/icoads_arctic_subset_1990.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=icoads_arctic_subset_1990&showErrors=false&email= NCEI, NOAA icoads_arctic_subset_1990
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021 https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_tpos_2021.graph Saildrone 2021 TPOS PMEL NRT Surface Data, drone 1065 Two Gen6 Saildrone Explorer USVs were launched from Alameda, CA in the summer of 2021. These USVs were equipped with ADCPs, and other metocean sensors and sailed south to the equator to perform inter-comparisons with the Tropical Atmosphere/Ocean (TAO) moorings.\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_tpos_2021_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_tpos_2021_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1065_tpos_2021/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_tpos_2021.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_tpos_2021&showErrors=false&email= Saildrone sd1065_tpos_2021
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1033_tpos_2022_gts.graph Saildrone 2022 TPOS PMEL NRT Surface Data, drone 1033 The primary goal of this study will be to collect research quality air-sea interaction observations in the eastern tropical Pacific that could help satellite validation, model development, model and satellite measurement validation, or be used to constrain models. The second goal of the study is to develop adaptive sampling techniques that could be used as part of the TPOS backbone.\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)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1033_tpos_2022_gts_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1033_tpos_2022_gts_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1033_tpos_2022_gts/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1033_tpos_2022_gts.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1033_tpos_2022_gts&showErrors=false&email= Saildrone sd1033_tpos_2022_gts
https://data.pmel.noaa.gov/generic/erddap/tabledap/saildrone_arctic_gts.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/saildrone_arctic_gts https://data.pmel.noaa.gov/generic/erddap/tabledap/saildrone_arctic_gts.graph Saildrone Arctic Data for GTS Arctic 2019 Mission. Saildrone data from a local source.\n\ncdm_data_type = Trajectory\nVARIABLES:\nwmo_platform_code\ntrajectory (Trajectory/Drone ID)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTEMP_AIR_MEAN (Air temperature, degree_C)\nRH_MEAN (Relative humidity, percent)\nBARO_PRES_MEAN (Air pressure, hPa)\nTEMP_CTD_MEAN (Seawater temperature, degree_C)\nwind_speed (m s-1)\nwind_dir (Wind direction, From, degrees)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/saildrone_arctic_gts_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/saildrone_arctic_gts_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/saildrone_arctic_gts/index.htmlTable http://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/saildrone_arctic_gts.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=saildrone_arctic_gts&showErrors=false&email= Saildrone saildrone_arctic_gts
https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test.subset https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test https://data.pmel.noaa.gov/generic/erddap/tabledap/sd1065_wmo_test.graph WMO data distribution test, drone 1065 Testing data distribution of Saildrone dron 1065 data to support WIS 2.0 pilot project\n\ncdm_data_type = Trajectory\nVARIABLES:\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)\nWIND_FROM_MEAN (Wind from, degree)\nWIND_SPEED_MEAN (Wind speed, m s-1)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (time in seconds, seconds since 1970-01-01T00:00:00Z)\ntrajectory (Trajectory/Drone ID)\n https://data.pmel.noaa.gov/generic/erddap/metadata/fgdc/xml/sd1065_wmo_test_fgdc.xml https://data.pmel.noaa.gov/generic/erddap/metadata/iso19115/xml/sd1065_wmo_test_iso19115.xml https://data.pmel.noaa.gov/generic/erddap/info/sd1065_wmo_test/index.htmlTable https://saildrone.com/ (external link) https://data.pmel.noaa.gov/generic/erddap/rss/sd1065_wmo_test.rss https://data.pmel.noaa.gov/generic/erddap/subscriptions/add.html?datasetID=sd1065_wmo_test&showErrors=false&email= NOAA/PMEL sd1065_wmo_test

 
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