1998-2007年尼泊尔上空TRMM衍生雨量的校正。

Md. Nazrul Islam, Someshwar Das, H. Uyeda
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引用次数: 53

摘要

在本研究中,降雨量是根据热带降雨测量任务(TRMM)第6版(V6) 3B42数据集计算的,并参考1998-2007年尼泊尔15个地点的雨量计观测到的日降雨量进行校准。在月、季和年尺度上,TRMM估计的降雨量遵循从雨量计资料获得的历史模式的相似分布。该国南部地区降雨量很大,尤其是尼泊尔中部地区。逐日降水对比表明,TRMM推导的趋势与观测数据非常相似,但TRMM通常在许多天低估降水,个别天高估降水。TRMM与雨量计资料的相关系数约为0.71。TRMM可以测量尼泊尔约65.39%的地表降雨量。在使用回归表达式得到的校正因子后,TRMM对尼泊尔的估计雨量与观测资料的比值约为99.91%。TRMM对尼泊尔阴雨天的探测较差;对19%、72%和9%的台站能近似检测到、未检测到和过检测到。虚警率、检测概率、威胁得分和技能得分分别为0.30、0.68、0.53和0.55。最后,TRMM数据可以用于测量尼泊尔的山地降雨,但需要借助校准程序获得的调整因子来计算准确的降雨量。这项初步工作是为2013年开始使用全球降水测量(GPM)数据做准备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Calibration of TRMM derived rainfall over Nepal during 1998-2007.
In this study rainfall is calculated from Tropical Rainfall Measuring Mission (TRMM) Version 6 (V6) 3B42 datasets and calibrated with reference to the observed daily rainfall by rain-gauge collected at 15 locations over Nepal during 1998-2007. In monthly, seasonal and annual scales TRMM estimated rainfalls follow the similar distribution of historical patterns obtained from the rain-gauge data. Rainfall is large in the Southern parts of the country, especially in the Central Nepal. Day-to-day rainfall comparison shows that TRMM derived trend is very similar to the observed data but TRMM usually underestimates rainfall on many days with some exceptions of overestimation on some days. The correlation coefficient of rainfalls between TRMM and rain-gauge data is obtained about 0.71. TRMM can measure about 65.39% of surface rainfall in Nepal. After using calibration factors obtained through regression expression the TRMM estimated rainfall over Nepal becomes about 99.91% of observed data. TRMM detection of rainy days is poor over Nepal; it can approximately detect, under-detect and over-detect by 19%, 72% and 9% of stations respectively. False alarm rate, probability of detection, threat score and skill score are calculated as 0.30, 0.68, 0.53 and 0.55 respectively. Finally, TRMM data can be utilized in measuring mountainous rainfall over Nepal but exact amount of rainfall has to be calculated with the help of adjustment factors obtained through calibration procedure. This preliminary work is the preparation of utilization of Global Precipitation Measurement (GPM) data to be commencing in 2013.
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