An investigation of extreme daily rainfall in the Mekong River Basin using a gridded precipitation dataset
An investigation of extreme daily rainfall in the Mekong River Basin using a gridded precipitation dataset
复制标题
DOI：
10.3178/hrl.7.66
复制
发表时间：
2013-01-01
影响因子：
1.1
通讯作者：
Kuraji, Koichiro
中科院分区：
文献类型：
--
作者：
Ono, Keisuke;Kazama, So;Kuraji, Koichiro
本研究的目的是评估亚洲降水高分辨率观测数据整合对水资源评价（APHRODITE）网格数据集的适用性，以建立东南亚地区空间分布的极端日雨量图。我们比较了5年回归期的极端日降雨量值，该值是根据APHRODITE数据集1987-2006年的年最大降雨量和泰国、老挝和越南185个测量站的降雨量观测数据进行频率分析估计的。结果表明，由阿芙罗狄特数据集估算的极端降水值比雨量站观测值约低33-38%。利用适当的偏置校正比和高程因子对阿芙罗狄特数据进行校正后，与雨量计观测值的日极端降雨量估算结果吻合较好。此外，我们的估计与泰国Mae Chaem流域（MCW）的降雨观测数据进行了独立验证。研究结果表明，经过适当的偏置和地形校正后，APHRODITE数据集可用于估算湄公河流域国家的极端降水。
The objective of this research was to evaluate the applicability of the Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE) gridded dataset to develop a spatially distributed extreme daily rainfall map in Southeast Asia. We compared the extreme daily rainfall values of the 5-year return period, estimated by a frequency analysis based on annual maximum rainfall during 1987-2006 from the APHRODITE dataset and rainfall observations from 185 gauges in Thailand, Laos, and Vietnam. It was found that the extreme rainfall values estimated from the APHRODITE dataset are approximately 33-38% less than those estimated from observations at rain gauge stations. When the APHRODITE data were corrected with an appropriate bias correction ratio and elevation factor and then used to estimate extreme daily rainfall, they showed a better match with the extreme daily rainfall estimations from the rain gauge observations. Moreover, our estimations were independently verified with the rainfall observations in the Mae Chaem Watershed (MCW) in Thailand. This study suggests that the APHRODITE dataset can be used to obtain an estimation of the extreme rainfall in the Mekong River countries after proper bias and orographic corrections are made.