QSCAT (Ku-2001) Ocean Winds Derived by Locally Weighted Regression Interpolation (Version 1e)
ds744.5
This revision is Version 1e for QSCAT Ku-2001 ocean surface winds derived using a locally weighted regression interpolation method. The region of influence (ROI) varies depending on the quality of the resultant interpolation. ROI of 3 and 5 degrees (latitude by longitude) have been used. The resultant grids are 0.5 degrees and 3 hour resolution. The coverage is for 40S to the 70S. The QSCAT (Ku-2001) satellite data were provided by Remote Sensing Systems. Notice 07/28/2006: JPL PO.DAAC has initiated reprocessing of all ADEOS-II and QuikSCAT data with superior algorithms for retrievals in high wind speed and light rain areas. This reprocessing could effect this dataset. More information is available at JPL PO.DAAC [http://podaac.jpl.nasa.gov/].
dataset
https://rda.ucar.edu/datasets/ds744.5/
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https://rda.ucar.edu/datasets/ds744.5/#!access
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oceans
dataset
revision
2014-10-16
GRIDDING METHODS
revision
2021-09-16
EARTH SCIENCE > OCEANS > OCEAN WINDS > SURFACE WINDS
revision
2021-09-08
1999-06
2001-12
publication
2002-03-13
notPlanned
Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.
Registration on the RDA web site is a requirement for access to the data.
UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DSS
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U.S.A.
(303)-497-1819
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DSS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NCAR Research Data Archive
description: The Research Data Archive (RDA), managed by the Data Support Section (DSS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.
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2021-09-20T16:05:01-07:00