DocumentCode :
1004654
Title :
A C-Band Scatterometer Simultaneous Wind/Rain Retrieval Method
Author :
Nie, Congling ; Long, David G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT
Volume :
46
Issue :
11
fYear :
2008
Firstpage :
3618
Lastpage :
3631
Abstract :
Using collocated ERS scatterometer (ESCAT), Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR), and European Centre for Medium-Range Weather Forecasts (ECMWF) data, the effects of rain on ESCAT wind-only retrieval are evaluated. Additional scattering from rain causes estimated wind speeds to appear higher than expected. Selected directions of the rain-corrupted wind vectors are biased toward along-track directions under conditions of heavy rain, which is regardless of the true wind direction. Rain becomes more significant for data acquired at a high incidence angle. To compensate for rain-induced backscatter, a simultaneous wind/rain retrieval (SWRR) method, which simultaneously retrieves wind velocity and surface rain rate from ESCAT measurements with an incidence angle >40deg, is developed by using a C-band wind/rain backscatter model. The performance of SWRR under typical wind/rain conditions is evaluated through simulation and validation with collocated TRMM PR and ECMWF data sets. SWRR is shown to significantly improve wind velocity estimates, and the SWRR estimated surface rain rate has relatively high accuracy in moderate to heavy rain cases. Although SWRR-retrieved rain is somewhat biased, it can be corrected. We note that for ESCAT, about 1.5% of all the collocated measurements is affected by significant rain.
Keywords :
atmospheric techniques; radar cross-sections; rain; remote sensing by radar; wind; C-band ERS scatterometer; C-band wind-rain backscatter model; ECMWF data; ESCAT; European Centre for Medium-Range Weather Forecasts; Precipitation Radar; SWRR method; TRMM PR; Tropical Rainfall Measuring Mission; simultaneous wind-rain retrieval method; surface rain rate; wind speeds; Backscatter; Information retrieval; Meteorological radar; Radar measurements; Radar scattering; Rain; Velocity measurement; Weather forecasting; Wind forecasting; Wind speed; Atmospheric measurements; radar cross section; radar meteorological factors;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2008.922146
Filename :
4685929
Link To Document :
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