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The GSMaP Precipitation Retrieval Algorithm for Microwave Sounders—Part I: Over-Ocean Algorithm

机译:微波探测器的GSMaP降水检索算法-第一部分:越洋算法

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摘要

We develop an over-ocean rainfall retrieval algorithm for the Advanced Microwave Sounding Unit (AMSU) based on the Global Satellite Mapping of Precipitation (GSMaP) microwave radiometer algorithm. This algorithm combines an emission-based estimate from brightness temperature (Tb) at 23 GHz and a scattering-based estimate from Tb at 89 GHz, depending on a scattering index (SI) computed from Tb at both 89 and 150 GHz. Precipitation inhomogeneities are also taken into account. The GSMaP-retrieved rainfall from the AMSU (GSMaP_AMSU) is compared with the National Oceanic and Atmospheric Administration (NOAA) standard algorithm (NOAA_AMSU)-retrieved data using Tropical Rainfall Measuring Mission (TRMM) data as a reference. Rain rates retrieved by GSMaP_AMSU have better agreement with TRMM estimates over midlatitudes during winter. Better estimates over multitudes over winter are given by the use of Tb at 23 GHz in the GSMaP_AMSU algorithm. It was also shown that GSMaP_AMSU has higher rain detection than NOAA_AMSU.
机译:我们基于全球降水量卫星地图(GSMaP)微波辐射计算法,为高级微波探测单元(AMSU)开发了一种海洋降水检索算法。该算法根据在89 GHz和150 GHz时从Tb计算的散射指数(SI),将23 GHz处的亮度温度(Tb)的基于发射的估计值和89 GHz处的Tb的基于散射的估计值组合在一起。还考虑了降水的不均匀性。使用热带雨量测量任务(TRMM)数据将来自AMSU的GSMaP回收的降雨量(GSMaP_AMSU)与国家海洋和大气管理局(NOAA)标准算法(NOAA_AMSU)回收的数据进行比较。在冬季,中纬度地区通过GSMaP_AMSU检索到的降雨率与TRMM估算值更好地吻合。通过在GSMaP_AMSU算法中使用23 GHz的Tb,可以更好地估计整个冬季。还显示出GSMaP_AMSU的降雨检测率高于NOAA_AMSU。

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