Effect of precipitation on the wind retrieval from synthetic aperture radar

Shui Yu, Jingsong Yang, Shuangyan He, L. Ren, Zhiguo He
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Abstract

As one of the most powerful air-sea interactions in the weather system, a typhoon usually accompanies with a wide range of heavy rainfall. Due to the influence of rainfall on the radar signal, the inversion precision of sea surface wind field from space-borne radar declines. In this paper, based on C band scatterometer rain effect model and Synthetic Aperture Radar (SAR) rainfall backscattering model, rain-induced attenuation, raindrop volumetric scattering and rough sea surface scattering are calculated. Performance of these two models are further demonstrated by comparing RADARSAT-2 data with synchronous National Centers for Environmental Prediction (NCEP) reanalysis data and Tropical Rainfall Measuring Mission satellite (TRMM) precipitation radar (PR) rainfall data, and results prove that they both can improve the rain-induced inaccurate wind field retrieval.
降水对合成孔径雷达风反演的影响
作为天气系统中最强大的海气相互作用之一,台风通常伴随着大范围的强降雨。由于降雨对雷达信号的影响,星载雷达反演海面风场精度下降。本文基于C波段散射计雨效应模型和合成孔径雷达(SAR)降雨后向散射模型,计算了雨致衰减、雨滴体积散射和海面粗糙散射。通过与美国国家环境预报中心(NCEP)同步再分析数据和热带降雨测量任务卫星(TRMM)降水雷达(PR)降水数据的对比,进一步验证了RADARSAT-2模型的性能,结果表明,这两种模型都能改善降雨诱导风场反演的不准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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