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A global assessment of the timing of extreme rainfall from TRMM and GPM for improving hydrologic design

机译:全球对TRMM和GPM极端降雨时间的评估,以改善水文设计

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The tropical rainfall measuring mission (TRMM) has revolutionized the measurement of precipitation worldwide. However, TRMM significantly underestimates rainfall in deep convection systems, being therefore of little help for the analysis of extreme precipitation depths. This work evaluates the ability of both TRMM and the recently launched global precipitation measurement (GPM) mission to help in the identification of the timing of severe rainfall events. We compare the date of occurrence of the most severe daily rainfall recorded each year by a global rain gauge network with the ones estimated by TRMM. The match rate between the two is found to approach 50%, indicating significant consistency between the two data sources. This figure rises to 60% for GPM, indicating the potential for this new mission to improve the accuracy associated with TRMM. Further efforts are needed in improving the GPM conversion algorithms in order to reduce the bias affecting the estimation of intense depths. The results however show that the timing estimated from GPM can provide a solid basis for an extensive characterization of the spatio-temporal distribution of extreme rainfall in poorly gauged regions of the world.
机译:热带降雨测量任务(TRMM)彻底改变了全球的降水测量方法。但是,TRMM大大低估了深对流系统中的降雨,因此对极端降水深度的分析几乎没有帮助。这项工作评估了TRMM和最近启动的全球降水量测量(GPM)任务的能力,以帮助确定严重降雨事件的发生时间。我们将全球雨量计网络每年记录的最严重的每日降雨的发生日期与TRMM估计的发生日期进行比较。发现两者之间的匹配率接近50%,表明两个数据源之间的显着一致性。对于GPM,这个数字上升到60%,表明这项新任务有可能提高与TRMM相关的准确性。为了减少影响强烈深度估计的偏差,需要进一步改进GPM转换算法。然而,结果表明,根据GPM估算的时间可以为广泛表征世界上贫瘠地区的极端降雨的时空分布提供坚实的基础。

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