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COMPARISON OF GAGE VS MULTI-SENSOR (RADAR plus GAGE)PRECIPITATION ESTIMATES FOR MIDWESTERN UNITED STATESCOUNTIES

机译:美国中西部各州Gage VS多传感器(雷达加Gage)估计估计的比较

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An intercomparison of gage and radar-based precipitation estimates wasundertaken for the Midwestern United States. Multi-sensor precipitation estimates(MPE) based on the Stage III/IV algorithm developed by the Office of Hydrology / NWSRiver Forecast Centers, National Weather Service quality-controlled cooperative gage(QC_Coop) data, and gage data from three high density networks in Illinois fromFebruary 2002 through August 2005 were examined.Most differences in county-averaged monthly precipitation estimated byQC_Coop and MPE in nine Midwestern states were within +/- 25%, averaging 6%. Thedifference between gage and MPE monthly values decreased somewhat through the 41-month period of study. Data from three regional gage networks indicated that on a dailybasis, averaged MPE and gage network data agreed to within about +/- 25%. Daily MPEvalues were often lower than the gage values for large precipitation amounts. Whenexamining multiple gages within single MPE grid points, it was found that for very lowdaily precipitation amounts, MPE grid amounts were generally greater than gage, and forhigh daily precipitation amounts, MPE amounts were lower than gage amounts.
机译:量规和基于雷达的降水估计之间的比较是 为美国中西部承担。多传感器降水估算 (MPE)基于水文办公室/ NWS开发的Stage III / IV算法 河流预报中心,国家气象服务质量控制合作社 (QC_Coop)数据和来自伊利诺伊州三个高密度网络的量具数据 研究了2002年2月至2005年8月。 估计的县平均月降水量的最大差异 中西部9个州的QC_Coop和MPE均在+/- 25%之内,平均为6%。这 在41- 一个月的学习时间。来自三个区域测量网络的数据表明,每天 在此基础上,MPE和量具网络的平均数据在大约+/- 25%之内。每日MPE 对于大降水量,该值通常低于量规值。什么时候 检查单个MPE网格点内的多个量具,发现对于 每日降水量,MPE网格的数量通常大于量具,并且对于 每天的降水量较高,MPE的量低于量具的量。

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