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首页> 外文期刊>International journal of applied mechanics >Precipitation Characteristic Analysis of the Zhoushan Archipelago: From the View of MSWEP and Rainfall Merging
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Precipitation Characteristic Analysis of the Zhoushan Archipelago: From the View of MSWEP and Rainfall Merging

机译:舟山群岛的降水特征分析:从MSWEP和降雨结合的看法

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Based on the long series of gauge rainfall data from 1979 to 2015, the performance of Multi-Source Weighted-Ensemble Precipitation (MSWEP) precipitation dataset in the Zhoushan Archipelago and its surrounding sea area in Southeast China was evaluated from a variety of perspectives, and then the Cressman scheme was used to merge MSWEP with surface gauge measurements. It was found that at the spatial scale of 0.1 degrees x 0.1 degrees, MSWEP correctly detected most of the daily rainfall events in the study area. The surface precipitation was generally underestimated, with a relative deviation no more than 10%, but there was a fairly high miss reporting on heavy precipitation. The performance of MSWEP is also obviously characterized with seasonal fluctuation. Compared with the gauge records interpolation results, the accuracy statistics of rainfall dataset generated by merging MSWEP with gauge observations is improved to a certain degree. Especially its comprehensive identification ability of the dry and wet state for daily precipitation has been obviously raised. In addition, the merged data has the mixed characteristics of rain gauge observations and MSWEP in spatial structure. This paper has deepened the understanding of the performance of MSWEP in islands and sea areas, and also strengthened the understanding of the marginal effect of merging gauge data with MSWEP, even other global precipitation datasets.
机译:基于1979年至2015年的长系列降雨数据,从各种角度评估了舟山群岛的多源加权集合降水(MSWEP)降水数据集及其东南部的周围海域的性能。然后,Cressman方案用于将MSWEM与表面仪测量合并。发现,在0.1度×0.1度的空间等级,MSWEP正确检测到研究区域中的大部分日落事件。表面沉淀通常低估,相对偏差不超过10%,但有一个相当高的错过报告报告的重新降水。 MSWEP的性能也明显表征了季节性波动。与仪表记录的插值结果相比,通过将MSWEP与仪表观测合并的降雨数据集的准确性统计改善于一定程度。特别是其对日沉淀的干燥和湿润状态的综合识别能力已经显而易见。此外,合并数据具有雨量仪观测和空间结构中的MSWEP的混合特性。本文深化了对岛屿和海域MSWEP表现的理解,并加强了对MSWEP合并仪表数据的边际效果的理解,甚至是其他全球降水数据集。

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