利用2000-2012年青藏高原附近地区251个台站的降水观测资料评估了CMORPH、PERSIANN、TRMM3B41RT、TRMM3B42RT和TRMM3B42V7等5种卫星反演降水资料在青藏高原地区的差异性和一致性。结果表明,5种卫星反演降水资料均能较好地表征降水量在青藏高原地区从东南向西北递减和夏季降水多、冬季降水少的特征。通过分析相对误差和空间相关系数表明,5种卫星资料在夏季的反演效果最好、冬季最差,白天好于夜间。相对于其他4种资料,TRMM3B42V7资料与观测值之间的差异最小,除了冬季一段较短时间内空间相关系数较低外,一年之中大部分时段空间相关系数都在0. 5以上。CMORPH仅次于TRMM3B42V7,在青藏高原地区的适用性也较好;对不同等级降水频数的反演效果表明,CMORPH和TRMM3B42V7反演的小雨降水频数与台站观测值基本一致,高估了大雨和暴雨的降水频数,而TRMM3B42V7对中雨降水频数的反演较为合理。
The differences and consistencies of five products of satellite retrieved precipitation,which are CMORPH(Climate Prediction Center Morphing Technique),PERSIANN(Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Network),TRMM(Tropical Rainfall Measuring Mission) precipitation product 3B42 version 7 and its real-time version 3B41RT,3B42RT,are validated by the gauge data over the Tibetan Plateau.The gauge data are observed from 2000 to 2012 at 251 stations over the Qinghai-Xizang Plateau.The results indicate that all these five satellite derived precipitation products can well capture the features of the distribution of rainfall amounts.The rainfall amounts decrease from the southeast to the northwest,and there are the most rainfall amounts in summer,the least in winter.By analyzing the relative bias and the spatial correlation coefficient,it is shown that the five satellite derived precipitation product perform the best in summer but the worst in winter,and they are better in the daytime than at night as well.Compared with the gauge data,TRMM3B42RTV7 has the best consistency and the least deviation among the 5 satellite precipitation products.The spatial correlation coefficients between TRMM3B42V7 and gauge data are over 0.5 in most periods in a year except in winter.CMORPH also shows good performance but with relatively weak ability compared to 3B42RTV7.By studying frequency of different grades of precipitation from CMORPH and TRMM3B42V7,the results indicate that both satellite precipitation products have good agreement with the gauge observed light rain frequency,but overestimated the frequency of the heavy and torrential rain.The TRMM3B42V7 data shows higher accuracy in the moderate rain frequency compared to CMORPH dataset.
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