Paper Info
Title
A new semi-empirical sea surface microwave backscatter model coupled with the rain effect
Abstract
The geophysical model function is generally employed to invert the surface wind speed using scatterometer or synthetic aperture radar (SAR) measurements over the ocean. The GMF relates the normalized radar cross-section (NRCS) to the incidence angle and wind vector. The rain effect on NRCS is not considered in the GMF. In raining areas, the NRCS of the ocean surface is altered by rain. Rain contamination introduces errors to wind speed retrieved by scatterometer, particularly at high incidence angles [1]. Moreover, under extreme weather conditions, significant differences exist between the SAR retrieved wind speed and those measured by Stepped-Frequency Microwave Radiometer (SFMR) measurements in hurricane eyewall regions [2], due to the intense rainfall there. The challenges in satellite retrievals of ocean winds related to precipitation effects has been elaborated in [3].
Year
DOI
Venue
2014
10.1109/IGARSS.2014.6947027
IGARSS
Keywords
Field
DocType
atmospheric measuring apparatus,synthetic aperture radar,storms,ocean winds,rain effect,surface wind speed,normalized radar cross-section,incidence angle,stepped-frequency microwave radiometer measurements,rain,wind,hurricane eyewall regions,remote sensing by radar,ocean surface,geophysical model function,rainfall,meteorological radar,semiempirical sea surface microwave backscatter model,scatterometer measurements,tropospheric electromagnetic wave propagation,rain contamination,extreme weather conditions,satellite retrievals,precipitation effects,synthetic aperture radar measurements,wind vector
Meteorology,Interferometric synthetic aperture radar,Weather radar,dBZ,Space-based radar,Computer science,Remote sensing,Microwave backscatter
Conference
ISSN
Citations 
PageRank 
2153-6996
1
0.45
References 
Authors
0
4
Name
Order
Citations
PageRank
Biao Zhang19723.66
Guosheng Zhang2264.77
William Perrie310527.21
Yijun He416842.09