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Results from AMSR-E and Version 6 TMI microwave land rainfall estimation algorithms

机译:AMSR-E和版本6 TMI微波降雨估算算法的结果

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Revised versions of previous passive microwave land rainfall algorithms are developed for the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI), the Special Sensor Microwave/Imager (SSM/I), and the new Advanced Microwave Sounding Radiometer -Earth Observing System (EOS) (AMSR-E). The relationships between rainfall rate and 85 GHz brightness temperature are re-calibrated with respect to previous algorithms using collocated TMI and TRMM Precipitation Radar (PR) data. Another new feature is a procedure to estimate the probability of convective rainfall, as convective/stratiform classification can reduce the ambiguity of possible rainfall rates for a given brightness temperature. These modifications essentially eliminate the global high bias found in studies of previous versions of the SSM/I and TMI algorithms. However, many regional and seasonal biases still exist, and these are identified. The applicability of the new features to the other microwave sensors is studied using SSM/I data. The AMSR-E algorithm is the same as the TMI, as the footprint resolutions and frequencies of these instruments are very similar. The TMI algorithm will be used in the land portion of the official Version 6 TMI instantaneous rainfall rate product, to be released in 2003, while the AMSR algorithm will be used for future AMSR-E products.
机译:经过修订的先前被动微波陆地降雨算法的版本是为热带降雨测量任务(TRMM)微波成像(TMI),特殊传感器微波/成像仪(SSM / I)以及新的高级微波探测辐射计 - 观察系统( EOS)(AMSR-E)。利用并置TMI和TRMM降水雷达(PR)数据相对于先前的算法重新校准降雨率和85GHz亮度温度之间的关系。另一个新功能是估计对流降雨概率的程序,因为对流/层状分类可以降低给定亮度温度可能降雨率的模糊性。这些修改基本上消除了先前版本的SSM / I和TMI算法的研究中发现的全球高偏见。然而,许多区域和季节性偏见仍然存在,这些偏见是确定的。使用SSM / I数据研究了新功能对另一个微波传感器的适用性。 AMSR-E算法与TMI相同,因为这些仪器的足迹分辨率和频率非常相似。 TMI算法将用于官方版本6 TMI瞬时降雨率产品的土地部分,于2003年发布,而AMSR算法将用于未来的AMSR-E产品。

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