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Comparison of high-resolution TRMM-based precipitation products during tropical cyclones in the North Indian Ocean.

机译:北印度洋热带气旋中高分辨率基于TRMM的降水产物的比较。

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摘要

In order to evaluate the performance of satellite-retrieved precipitation estimation during cyclonic events, qualitative and quantitative evaluation of surface rain rate from three different data products namely TMI-2A12, TMPA-3B42, and GSMaP are carried out with respect to PR-2A25 data product. For this purpose, four recent tropical cyclones in the North Indian Ocean (NIO) during 2009-2010 are considered. Some aspects of the associated environmental wind fields are also investigated for their relationship with the tropical rainfall intensity in the individual cases. The relatively small root-mean-square error (RMSE) of TMPA-3B42 product shows better performance than the other two precipitation products during low to moderate rainfall regimes. But, the negative bias associated with all the three precipitation products show underestimation of rain rates with respect to PR derived rain rates. Furthermore, the GSMaP precipitation product shows better compliance than the TMPA-3B42 product with PR rain rate under extreme (more than 10 mm h-1) rain events. The lack of information regarding the associated uncertainties and reliability of these precipitation products suggest that substantial efforts are necessary to develop algorithms that can capture such extreme precipitation events more reliably.
机译:为了评估气旋事件期间卫星回采降水估算的性能,针对PR-2A25数据,从TMI-2A12,TMPA-3B42和GSMaP这三种不同的数据产品进行了定性和定量评估产品。为此,考虑了2009-2010年期间北印度洋(NIO)最近发生的四个热带气旋。在个别情况下,还研究了相关环境风场的某些方面与热带降雨强度的关系。 TMPA-3B42产品相对较小的均方根误差(RMSE)在中低降雨条件下显示出比其他两种降水产品更好的性能。但是,与所有三种降水产品相关的负偏差表明,相对于PR得出的降雨率,降雨率被低估了。此外,在极端(超过10 mm h -1 )降雨事件下,PRa降雨率时,GSMaP降水产品比TMPA-3B42产品具有更好的顺应性。缺乏有关这些降水产物的相关不确定性和可靠性的信息表明,需要大量的精力来开发能够更可靠地捕获此类极端降水事件的算法。

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