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Fine-scale precipitation structure of a cold front and the problem of the representativeness error

机译:冷锋的微尺度降水结构及代表性误差问题

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The proper knowledge of spatial precipitation structure is important as muchas that of microphysics processes for reliable quantitative precipitationforecasts. This study considers some aspects of how precipitation isorganized on meso- and fine-scales, within a cold front line and howmoisture transport is driven by these structures. Also, a spectral spacevision of the representativeness error is proposed, which highlightsuncertainties arising on the scales lying between resolutions of differentnetworks. This approach is used to explain an improper simulation ofhumidity and precipitation fields in models whose resolution is coarser thanthe scales being considered.
机译:对空间降水结构的正确了解与对可靠的定量降水预报的微观物理学过程一样重要。这项研究考虑了在冷锋线内降水如何在中细尺度上组织以及水分运移是由这些结构驱动的某些方面。此外,提出了代表性误差的光谱空间视觉,其突出了在不同网络的分辨率之间的尺度上产生的不确定性。该方法用于解释分辨率比所考虑尺度更大的模型中对湿度和降水场的不正确模拟。

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