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Wenqing Tang

Researcher at California Institute of Technology

Publications -  71
Citations -  2123

Wenqing Tang is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Wind speed & Scatterometer. The author has an hindex of 21, co-authored 63 publications receiving 1816 citations. Previous affiliations of Wenqing Tang include Jet Propulsion Laboratory.

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Equivalent Neutral Wind

TL;DR: In this paper, the definition of equivalent neutral wind and the rationale for using it as the geophysical product of a spaceborne scatterometer are reviewed, and the differences between equivalent neutral winds and actual wind are demonstrated with measurements at selected locations.
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NASA scatterometer provides global ocean-surface wind fields with more structures than numerical weather prediction

TL;DR: In this article, the major differences between monthly-mean ocean-surface wind fields derived from the observations of the National Aeronautics and Space Administration (NSCAT) Scatterometer and produced by the operational numerical weather prediction (NWP) model of the European Center for Medium-Range Weather Forecasts are found in coastal and equatorial regions, where the sharp changes are smoothed over in NWP products; these wind differences are explained to be the result of the superior spatial resolution of NSCAT winds.
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L-Band Passive and Active Microwave Geophysical Model Functions of Ocean Surface Winds and Applications to Aquarius Retrieval

TL;DR: The L-band passive and active microwave geophysical model functions (GMFs) of ocean surface winds from the Aquarius data are derived and the validity of the GMFs is tested through application to wind and salinity retrieval from Aquarian data using the combined active-passive algorithm.
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Combined Active/Passive Retrievals of Ocean Vector Wind and Sea Surface Salinity With SMAP

TL;DR: It is demonstrated that the CAP salinity and vector wind performance is superior to individual algorithms and provides wind vectors nearly as good as RapidScat for low-to-moderate winds and possibly superior to traditional scatterometers for wind speeds larger than 12.5 m/s.