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Proceedings Paper

Towards a QuikSCAT quality control indicator: rain detection
Author(s): Marcos Portabella; Ad Stoffelen
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Paper Abstract

A good assessment of the information content of scatterometer winds is particular important to assimilate them in weather analysis. Besides retrieval problems in cases of a confused sea state, a particularly acute problem of Ku-band scatterometry is the sensitivity to rain. Elimination of poor quality data is therefore a prerequisite for the successful use of NSCAT or QuikSCAT winds. Following the quality control for the ERS and NSCAT scatterometers performed at KNMI, we further develop this methodology for QuikSCAT and define a quality indicator, called the normalized residual. In order to characterize and validate the normalized residual, we use collocated SSM/I rain and ECMWF wind data. The results how indeed correlation between Rn and data quality. A wind speed dependent Rn threshold is shown to be adequate in terms of rejecting poor quality data and keeping fair quality dat. This opens the way to a quantitative use of SeaWinds measurements in weather analysis.

Paper Details

Date Published: 22 December 2000
PDF: 4 pages
Proc. SPIE 4172, Remote Sensing of the Ocean and Sea Ice 2000, (22 December 2000); doi: 10.1117/12.411701
Show Author Affiliations
Marcos Portabella, Royal Dutch Meteorological Institute (Netherlands)
Ad Stoffelen, Royal Dutch Meteorological Institute (Netherlands)

Published in SPIE Proceedings Vol. 4172:
Remote Sensing of the Ocean and Sea Ice 2000
Charles R. Bostater Jr.; Rosalia Santoleri, Editor(s)

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