edu.ucar.gdex::d232003 eng; USA utf-8 dataset NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu NSF NCAR Geoscience Data Exchange The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research. download pointOfContact 2019-03-11T19:09:48Z ISO 19115 Geographic Information - Metadata ISO19115:2003/Cor 1 2006 https://doi.org/10.5065/BRX8-V029 http://www.dpac.dpri.kyoto-u.ac.jp/tokinaga/waswind.html http Related Resource #1 WASWind Wave and Anemometer-based Sea Surface Wind (WASWind) d232003 2012-12-10 publication Tokinaga, Hiroki author NSF National Center for Atmospheric Research publisher Ship-based measurements of sea surface wind speed displays a spurious upward trend due to increases in anemometer height. To correct this bias, we construct a new sea surface wind dataset from ship observations of wind speed and wind wave height archived in the International Comprehensive Ocean-Atmosphere Data Set (ICOADS). The Wave and Anemometer-based Sea-surface Wind (WASWind) dataset is available at monthly resolution on a 4 degrees by 4 degrees. longitude-latitude grid from 1950 to 2011. It substantially reduces the upward trend in wind speed through height-correction for anemometer-measured winds, rejection of spurious Beaufort winds, and use of estimated winds from wind wave height. The reduced upward trend is smallest among the existing global datasets of in situ observations and comparable with those of reanalysis products. Despite the significant reduction of globally-averaged wind speed trend, WASWind features rich spatial structures in trend pattern, making it a valuable dataset for studies of climate changes on regional scales. Not only does the combination of ship winds and wind wave height successfully reproduce major modes of seasonal-to-decadal variability, but its trend patterns are also physically consistent with sea level pressure (SLP) measurements. WASWind is in close agreement with wind changes in satellite measurements by the Special Sensor Microwave Imager (SSM/I) for the recent two decades. The agreement in trend pattern with such independent observations illustrates the utility of WASWind for climate trend analysis. onGoing datahelp@ucar.edu pointOfContact irregular dataset NetCDF dataset Resource Type 2021-03-30 revision 4.4 DataCite Metadata Working Group orginator resourceTypeGeneral Ships U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-02-27 revision 23.4 NASA Global Change Master Directory orginator Valids List: Platforms EARTH SCIENCE > OCEANS > OCEAN WINDS > WIND STRESS EARTH SCIENCE > OCEANS > OCEAN WINDS > SURFACE WINDS U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-02-27 revision 23.4 NASA Global Change Master Directory orginator Valids List: Science and Services Keywords Creative Commons Attribution 4.0 International License None grid 4 eng utf-8 oceans -180.0 180.0 -90.0 90.0 1950-01-16T0000+00 2011-12-16T0000+00 NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu distributor 60.272 https://gdex.ucar.edu/datasets/d232003/ https Dataset Description Related Link information https://gdex.ucar.edu/datasets/d232003/dataaccess/ https Data Access Related Link download none asNeeded