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Uncertainty Assessment of the ERA-20C Reanalysis Based on the Monthly In Situ Precipitation Analysis of the Global Precipitation Climatology Centre

机译:基于全球降水沉淀中心的月度原位降水分析的ERA-20C再分析的不确定性评估

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The uncertainty of the precipitation parameter in the ECMWF twentieth-century (ERA-20C) centennial reanalysis is assessed by means of a comparison with the GPCC in situ product Full Data Monthly Version 7 (FDM-V7). For the spatial and temporal validation of ERA-20C, global temporal scores were calculated on monthly, seasonal, and annual time scales. These include contingency table scores, correlations, and differences in the trend, along with time series analyses. Not surprisingly, the regions with the strongest deviations correspond to regions with data scarcity, such as mountainous regions with their upwind and downwind effects, and monsoon regions. They all show a strong systematic bias (ERA-20C minus FDM-V7) and significant breaks in the time series. The mean annual global bias is about 37 mm, and the median is about 8 mm yr(-1). Among the largest mean annual biases are, for example, 3361 mm in the southern Andes, 2603 mm in the Western Ghats, and 2682 mm in Papua New Guinea. However, if there is high station density, the precipitation distribution is correctly reproduced, even in orographically demanding regions such as the Alps.
机译:通过与原位产品全数据每月版本7(FDM-V7)的GPCC的比较来评估ECMWF二十世纪(ERA-20C)百年重新分析中降水参数的不确定性。对于ERA-20C的空间和时间验证,全球时间评分每月,季节性和年度时间尺度计算。这些包括应急表评分,相关性和趋势的差异以及时间序列分析。毫不奇怪,具有最强偏差的区域对应于具有数据稀缺的区域,例如具有挤压和向下效应的山区和季风区。它们都显示出强大的系统偏差(ERA-20C减去FDM-V7),并在时间序列中显着突破。平均年度全球偏置约为37毫米,中位数约为8毫米(-1)。在最大的平均年度偏差中,例如,南部的南部3361毫米,西止仓2603毫米,巴布亚新几内亚2682毫米。然而,如果存在高站密度,即使在诸如阿尔卑斯山的地形要求的地区,也能正确再现沉淀分布。

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