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Comparison of rain fractions over tropical and sub-tropical ocean obtained from precipitation retrieval algorithms for microwave sounders

机译:微波探测仪降水提取算法获得的热带和亚热带海洋降雨分数的比较

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We compare the fractional occurrence of precipitation (rain fraction) over ocean derived using the Global Satellite Mapping of Precipitation algorithm for the Advanced Microwave Sounding Unit (GSMaP_AMSU) and the Microwave Surface and Precipitation Products System Day 2 rainfall algorithm (NOAA_AMSU) for the Kwajalein radar site and over tropical and subtropical ocean. The rain fractions of GSMaP_AMSU and NOAA_AMSU are lower than that of Kwajalein radar estimates because of failure to detect areas of light rain. Over tropical and subtropical ocean, the rain fraction of GSMaP_AMSU is closer to that obtained using a microwave imager (MW I) and little different from that of Tropical Rainfall Measuring Mission Precipitation Radar (PR) data, whilethe rain fraction of NOAA_AMSU is much smaller than that obtained using MWI or PR data. In the case of the edge of the South Pacific Convergence Zone where the PR observes scattered shallow rain, while NOAA_AMSU fails to detect the scattered rain, GSMaP_AMSU detects the scattered rain through consideration of the scattering index, which is the difference in brightness temperature (Tb) between 89 and 150 GHz. Although the scattering index is designed on the basis that Tb decreases in response to scattering by precipitation at these frequencies and increases rapidly with frequency, there are emission and scattering regimes. Furthermore, the scattering index also responds to emission in light rain with a low concentration of cloud liquid water. As a result, the light rain pixel can be detected using the scattering index to take advantage of the emission signature from raindrops.
机译:我们比较了使用高级微波探空仪(GSMaP_AMSU)的全球卫星测绘算法和Kwajalein雷达的微波表面和降水产品系统第2天降雨算法(NOAA_AMSU)得出的海洋降水的小部分发生(降雨分数)站点以及热带和亚热带海洋。 GSMaP_AMSU和NOAA_AMSU的降雨分数低于Kwajalein雷达估计的降雨分数,因为未能检测到小雨区域。在热带和亚热带海洋上,GSMaP_AMSU的降雨分数更接近于使用微波成像仪(MW I)所获得的降雨量,与热带降雨测量任务降水雷达(PR)数据的差异不大,而NOAA_AMSU的降雨分数远小于使用MWI或PR数据获得的数据。在PR观测到零星浅雨的南太平洋汇聚区边缘,而NOAA_AMSU未能检测到零星雨,GSMaP_AMSU通过考虑散射指数来检测零星雨,这是亮度温度(Tb )在89至150 GHz之间。尽管散射指数的设计是基于在这些频率下Tb响应于降水引起的散射而降低,并随频率而迅速增加,但存在发射和散射机制。此外,散射指数还响应于低浓度的云状液态水的小雨中的发射。结果,可以利用散射指数来检测小雨像素,以利用雨滴的发射特征。

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