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A high-resolution surface vector wind product for coastal oceans: Blending satellite scatterometer measurements with regional mesoscale atmospheric model simulations

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Authors
Chao, Yi
Li, Zhijin
Kindle, John C.
Paduan, Jeffrey D.
Chavez, Francisco P.
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Date of Issue
2003
Date
2003
Publisher
American Geophysical Union
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Abstract
A 2-dimensional variational method is used to blend the satellite scatterometer measured (QuikSCAT) and regional mesoscale atmospheric model simulated (COAMPS) surface vector winds for coastal central California. The approach is distinct from existing methods in that it considers errors from both measurements and models. When compared with independent in situ observations, the blended wind product shows consistently higher correlation and smaller RMS errors than QuikSCAT or COAMPS winds. The proposed algorithm can be implemented over any part of the world ocean. It should be a valuable tool for describing small-scale atmospheric processes in coastal zones and for forcing highresolution coastal ocean models.
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Article
Description
The article of record as published may be located at http://dx.doi.org/10.10 29/2002GL015729, 2003
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Department
Oceanography
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Funder
The research described in this paper was carried out, in part, at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration (NASA). Support from National Oceanographic Partnership Program (NOPP) is acknowledged. The participation of JCK was also funded through the Naval Research Laboratory (NRL) 6.1 CoBALT ARI and the Dynamics of Coupled Models project under program element 61153N sponsored by the Office of Naval Research.
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Citation
Chao, Y., Z. Li, J. C. Kindle, J. D. Paduan, and F. P. Chavez, A high-resolution surface vector wind product for coastal oceans: Blending satellite scatterometer measurements with regional mesoscale atmospheric model simulations, Geophys. Res.Lett., 30(1), 1013, doi:10.1029/2002GL015729, 2003.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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