层状降水VPR校正的误差统计

A. Bellon, Gyuwon Lee, I. Zawadzki
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引用次数: 100

摘要

摘要通过模拟雷达在不同距离和高度上近距离采样高分辨率三维反射率测量结果,评估了由于忽略反射率垂直剖面(VPR)和距离效应而导致的地表降水估计误差。使用两个基本程序(a)“近范围”或“内部”VPR和(b)依赖于强度的“气候”VPR生成了33个主要层状降水事件的未校正和校正的累积,其中有一个可识别的融化层超过250小时。对于不同的亮带高度和验证区域,从5分钟到2小时的累积,得出了均方根误差结构作为高度和距离的函数。然而,沿着最低默认高度的误差是最相关的。根据亮带的高度对结果进行分层是理解亮带随距离的影响所必需的。最大误差(>100%)在ra…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Error Statistics of VPR Corrections in Stratiform Precipitation
Abstract Errors in surface rainfall estimates that are caused by ignoring the vertical profile of reflectivity (VPR) and range effects have been assessed by simulating how fine-resolution 3D reflectivity measurements at close ranges are sampled by the radar at various ranges and heights. Uncorrected and corrected accumulations from 33 events of mainly stratiform precipitation, with a recognizable melting layer for over 250 h, have been generated using two basic procedures: (a) the “near range” or “inner” VPR and (b) the intensity-dependent “climatological” VPR. The root-mean-square (rms) error structure has been derived as a function of height and range, for accumulations ranging from 5 min to 2 h, for various brightband heights and verification areas. However, it is the errors along the lowest default height that are most relevant. The stratification of the results by the height of the bright band is essential to understand the influence of the bright band with range. The largest errors (>100% at near ra...
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