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Analysis of extreme daily rainfall in southeast Asia with a gridded daily rainfall data set

机译:利用网格化的日降水量数据集分析东南亚的极端日降水量

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The objective of this study is to estimate the daily extreme precipitation distribution in an Asian monsoon region considering orographic precipitation in mountainous areas. For this purpose, the APHRODITE data set and precipitation observations from 150 raingauges throughout Thailand were used as the main input. First, a bias-correction for underestimated precipitation in the APHRODITE data set was conducted based on the raingauge data. Secondly, a frequency analysis for estimating the extreme precipitation for different return periods was performed based on the bias-corrected APHRODITE data set and the raingauge data. For taking orographic precipitation effect into account, a regression relationship between the calculated extreme precipitation, elevation and latitude was developed using 150 raingauge data. Our results show that when orographic rainfall was incorporated, the extreme rainfall distribution was improved to show the characteristic of rainfall in mountainous areas.
机译:这项研究的目的是在考虑山区地形降水的情况下,估计亚洲季风区的每日极端降水分布。为此,APHRODITE数据集和来自泰国150个雨量计的降水观测被用作主要输入。首先,根据雨量计数据对APHRODITE数据集中的降水量偏低进行了偏差校正。其次,基于偏差校正的APHRODITE数据集和雨量计数据,进行了频率分析,以估算不同返回时段的极端降水。为了考虑地形降水效应,使用150个雨量计数据建立了计算的极端降水,海拔和纬度之间的回归关系。我们的结果表明,当结合地形降雨时,极端降雨分布得到改善,以显示山区降雨的特征。

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