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Intercomparison of the Relationship between Precipitation and Elevation among Gridded Precipitation Datasetsover the Asian Summer Monsoon Region

机译:亚洲夏季风区域网格降水数据集之间降水与海拔高度关系的比对

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The authors conducted an intercomparison of the elevation dependency of precipitation over the Asian summer monsoon region among 16 gridded precipitation datasets that consisted of rain-gauge-based (GAUs), satellite-based (SATs), and gauge-satellite combination datasets (MRGs). The elevation dependencies of the mean terrestrial precipitation in the gridded precipitation datasets were qualitatively consistent. The SATs were generally less than the GAUs at low and middle altitudes, but comparable at high altitudes. The scatter of the differences among the GAUs was smaller than that of the SATs. The elevation dependency of the mean intensity of the heavy terrestrial precipitation, defined as the 95th percentile of daily precipitation, was similar to that of the mean precipitation. The scatter of the differences in the elevation dependency among the SATs was greater than that among the GAUs. These results imply that differences in spatial interpolation methods have little impact on the differences among GAUs but that differences in the rainfall retrieval algorithm have a large impact on the quantitative differences among SATs.
机译:作者对亚洲夏季风区域降水的海拔依赖性进行了比较,其中包括16个网格降水数据集,包括基于雨量计(GAU),基于卫星的(SAT)和轨距组合卫星数据集(MRG)。 。网格化降水数据集中平均地面降水的海拔依赖性在质量上是一致的。在低海拔和中海拔时,SAT通常比GAU少,但在高海拔时则可比。 GAU之间差异的分散程度小于SAT。地面强降水的平均强度对海拔的依赖性(定义为每日降水的第95个百分位数)与平均降水的强度相关。 SAT之间的仰角依赖性差异比GAU之间的差异更大。这些结果表明,空间插值方法的差异对GAU之间的差异影响很小,而降雨检索算法的差异对SAT之间的数量差异影响很大。

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