Accurate estimates of extreme precipitation events play an important role in climate change studies and natural disaster risk assessments. This study aimed to evaluate the capability of the China Meteorological Forcing Dataset (CMFD), Asian Precipitation-Highly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), and Climate Hazards Group Infrared Precipitation with Station data (CHIRPS) to detect the spatiotemporal patterns of extreme precipitation events over the Qinghai-Tibet Plateau (QTP) in China, from 1981 to 2014. Compared to the gauge-based precipitation dataset obtained from 101 stations across the region, 12 indices of extreme precipitation were employed and classified into three categories: fixed threshold, station-related threshold, and non-threshold indices. Correlation coefficient (CC), root mean square error (RMSE), mean absolute error (MAE), and Kling-Gupta efficiency (KGE), were used to assess the accuracy of extreme precipitation estimation; indices including probability of detection (POD), false alarm ratio (FAR), and critical success index (CSI) were adopted to evaluate the ability of gridded products' to detect rain occurrences. The results indicated that all three gridded datasets showed acceptable representation of the extreme precipitation events over the QTP. CMFD and APHRODITE tended to slightly underestimate extreme precipitation indices (except for consecutive wet days), whereas CHIRPS overestimated most indices. Overall, CMFD outperformed the other datasets for capturing the spatiotemporal pattern of most extreme precipitation indices over the QTP. Although CHIRPS had lower levels of accuracy, the generated data had a higher spatial resolution, and with correction, it may be considered for small-scale studies in future research.

分析了2003-2009年基于卫星观测的降水数据CMORPH、TMPA 3B42v6、中国科学院青藏高原研究所的融合数据ITPCAS和基于地面台站的APHRODITE(2003-2007)四套降水数据集在叶尔羌河上游流域的时空分布特征,并以这四套降水数据为驱动,利用VIC分布式水文模型对叶尔羌河上游流域的降水径流进行模拟.结果表明:在空间分布上,四套降水资料在叶尔羌河上游流域的差异较大,ITPCAS的空间分布与流域冰川的分布较一致,基于冰川区即为大降水区的基本认知,初步认为ITPCAS的空间分布比较合理;其次是TMPA 3B42v6和APHRODITE;在流域的年降水量和季节分配量上,由于缺乏高海拔地区的实测降水资料,无法准确回答各套降水资料在量级上是否合理;在时间序列上,四套降水资料与流域站点降水(库鲁克栏杆站和塔什库尔干站的平均降水)存在着不同程度的差异.但从整体上看,CMORPH数据在一定程度上能够反映流域的月降水变化过程,而APH-RODITE和ITPCAS只能在个别年份对流域的降水描述较好;在径流模拟上,卫星降水数据CMOR-PH显示了作为水文模型输入数据的较大潜力;而其他降...

分析了2003-2009年基于卫星观测的降水数据CMORPH、TMPA 3B42v6、中国科学院青藏高原研究所的融合数据ITPCAS和基于地面台站的APHRODITE(2003-2007)四套降水数据集在叶尔羌河上游流域的时空分布特征,并以这四套降水数据为驱动,利用VIC分布式水文模型对叶尔羌河上游流域的降水径流进行模拟.结果表明:在空间分布上,四套降水资料在叶尔羌河上游流域的差异较大,ITPCAS的空间分布与流域冰川的分布较一致,基于冰川区即为大降水区的基本认知,初步认为ITPCAS的空间分布比较合理;其次是TMPA 3B42v6和APHRODITE;在流域的年降水量和季节分配量上,由于缺乏高海拔地区的实测降水资料,无法准确回答各套降水资料在量级上是否合理;在时间序列上,四套降水资料与流域站点降水(库鲁克栏杆站和塔什库尔干站的平均降水)存在着不同程度的差异.但从整体上看,CMORPH数据在一定程度上能够反映流域的月降水变化过程,而APH-RODITE和ITPCAS只能在个别年份对流域的降水描述较好;在径流模拟上,卫星降水数据CMOR-PH显示了作为水文模型输入数据的较大潜力;而其他降...

分析了2003-2009年基于卫星观测的降水数据CMORPH、TMPA 3B42v6、中国科学院青藏高原研究所的融合数据ITPCAS和基于地面台站的APHRODITE(2003-2007)四套降水数据集在叶尔羌河上游流域的时空分布特征,并以这四套降水数据为驱动,利用VIC分布式水文模型对叶尔羌河上游流域的降水径流进行模拟.结果表明:在空间分布上,四套降水资料在叶尔羌河上游流域的差异较大,ITPCAS的空间分布与流域冰川的分布较一致,基于冰川区即为大降水区的基本认知,初步认为ITPCAS的空间分布比较合理;其次是TMPA 3B42v6和APHRODITE;在流域的年降水量和季节分配量上,由于缺乏高海拔地区的实测降水资料,无法准确回答各套降水资料在量级上是否合理;在时间序列上,四套降水资料与流域站点降水(库鲁克栏杆站和塔什库尔干站的平均降水)存在着不同程度的差异.但从整体上看,CMORPH数据在一定程度上能够反映流域的月降水变化过程,而APH-RODITE和ITPCAS只能在个别年份对流域的降水描述较好;在径流模拟上,卫星降水数据CMOR-PH显示了作为水文模型输入数据的较大潜力;而其他降...