TY - Jour A2 - Molero，Francisco Au - Zhang，Tianyu Au - Yang，Yu Au - Dong，Zeyu Au - Gui，Shu Py - 2021Da - 2021/06/03 - TI - 三种卫星降水产品的多尺度评估（TRMM在中国三峡库区的三峡库区 - 9979216 VL - 2021 AB中，本研究评估了三个卫星降水产品，即TRMM，CMORPH和PERSIANN，在中国的三峡库区以多项时间表在中国的三峡库区。评估涉及以下几个方面：降雨量，极端降水和雨天检测能力。结果表明，CMORPH和TRMM降雨量的估计是合理的，但波斯人均显示出比其他两颗卫星产品的偏差更大。Cmorph的数据精度略好于TRMM。所有三种卫星产品都可以重现降雨的日间周期，即早上的降水量比晚上更多。CMORPH估计在3小时和12小时的时间表中最接近仪表观察。在白天的夜晚，Cmorph数据的数据准确性比白天在白天更好。在每日时间尺度时，TRMM数据的质量略逊于CMORPH，而Persiann仍然不同于地面观察。每月，季节性和每年时间尺度，TRMM的性能与CMORPH相当，两者都明显优于Persiann。 The rainy-day detection ability of CMORPH and TRMM was much better than PERSIANN. The PERSIANN data tended to overestimate the light rainy days but underestimate the heavy and torrential rainy days. The CMORPH data overestimated mainly the moderate rainy days. The TRMM data overestimated the occurrence frequency of heavy rain during the winter half year (from October to the next March). Both the CMORPH and the TRMM provided good estimates of the regional average rainy days. The data accuracy of CMORPH was slightly better than TRMM, and both were far better than the PERSIANN with respect to the rainfall amount and rainy-day detection. Nevertheless, all satellite estimates showed large biases of extreme precipitation. The CMORPH estimate of the maximum 5-day precipitation was the best of all. Both the CMORPH and TRMM data overestimated the 95th percentile of precipitation, but the PERSIANN data severely underestimated it. The PERSIANN estimates of extreme precipitation amount were the best of all during the daytime, nighttime, and the whole day. The above evaluation results could facilitate the application of satellite rainfall products and provide a reference to precipitation-related studies. SN - 1687-9309 UR - https://doi.org/10.1155/2021/9979216 DO - 10.1155/2021/9979216 JF - Advances in Meteorology PB - Hindawi KW - ER -