QSCAT/NCEP Blended Ocean Winds from Colorado Research Associates (version 5.0)
d744004
<p> Ocean surface wind data are derived from spatial blending of high-resolution satellite data (SeaWinds instrument on the QuikSCAT satellite - QSCAT) and global weather center re-analyses (NCEP), resulting in high temporal and spatial resolution datasets (6-hourly, and 0.5 by 0.5 degree) of u- and v- wind vector components and windstress curl. The global coverage datasets begin in July 1999 and ends in July 2009. </p> <p> Surface wind component and wind stress curl fields are available in three forms: 1) a product that is the blended wind field output, 2) fields consisting of the NCEP re-analyses spline interpolated to the 0.5 by 0.5 degree grid (i.e. no QSCAT data blended), and 3) a product that is output from an intermediate step in the blending process that consists of the superposition of QSCAT observations on NCEP before blending. This product is useful to identify the satellite data swaths in each composite of 12-hours of QSCAT observations. </p> <p> CAUTION: This blended wind product was developed for general circulation scale analyses - see <a href="https://rda.ucar.edu/datasets/ds744.4/docs/Blended_Winds_Caution">these cautionary notes</a>. The blending methodology is summarized in <a href="https://rda.ucar.edu/datasets/ds744.4/docs/Blended_Winds_Summary">this document</a>. </p> <p> <font color="red"> NOTE: The QSCAT satellite has permanent failed so this data time series has ended. </font> </p>
dataset
https://gdex.ucar.edu/datasets/d744004/
protocol: https
name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d744004/dataaccess/
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name: Data Access
description: Related Link
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oceans
dataset
revision
2021-03-30
GRIDDING METHODS
revision
2025-10-03
SCATTEROMETERS > SCATTEROMETERS
revision
2025-10-03
EARTH SCIENCE > OCEANS > OCEAN WINDS > WIND STRESS
EARTH SCIENCE > OCEANS > OCEAN WINDS > SURFACE WINDS
revision
2025-10-03
1999-07
2009-07-31
publication
2001-02-26
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
name: NSF NCAR Geoscience Data Exchange
description: 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.
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2025-10-09T01:29:20Z