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Global QPF and QPE: Where do we have trouble to achieve them?

机译:全球QPF和QPE:我们在哪里很难实现它们?

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@@ 1. Introduction Today, many weather forecast centers are capable of providing quantitative precipitation forecasts (QPF) based on numerical weather prediction (NWP) models. Complementarily. global satellite precipitation retrievals provide quantitative precipitation estimations (QPE) that can be used for real-time monitoring or validation of QPF. However, how much confidence do we have in these two informational sources? How accurate are they? and how consistent is between the two? In this study, assessments of both a global QPE from a satellite precipitation product and corresponding global QPF from a global NWP model are conducted using available global land based gauge data. We devise a scale decomposition technique, coupled with seasonal and spatial classifications, to evaluate these inaccuracies. The results are then analyzed in context with various physical precipitation systems, including heavy monsoonal rains, light Mediterranean winter rains, and North American convective- and midlatitude cyclone-related precipitation.
机译:@@ 1.引言如今,许多天气预报中心都能够基于数值天气预报(NWP)模型提供定量降水预报(QPF)。相辅相成。全球卫星降水量检索可提供定量降水量估计(QPE),可用于实时监测或验证QPF。但是,我们对这两个信息来源有多少信心?它们有多精确?两者之间的一致性如何?在这项研究中,使用可用的全球陆地尺度数据对卫星降水产品的全球QPE和全球NWP模型的相应全球QPF进行了评估。我们设计了一种尺度分解技术,并结合季节和空间分类来评估这些不准确性。然后,在各种物理降水系统的背景下对结果进行分析,包括季风大雨,地中海冬季小雨以及北美对流和中纬度气旋相关的降水。

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