Publication Date:
2023-06-01
Description:
As one of the hotspots for natural disaster studies on Earth, Qinghai-Tibet Plateau (QTP) is highly vulnerable to destructive rainstorm hazard and related natural disasters, which seriously threaten people’s lives and properties, environment, ecosystems and its downstream regions. Short-duration heavy precipitation at sub-daily scales is an important trigger for flash flood, landslide, debris flows and other disasters in QTP. However, it is a typical ungauged high mountain region, observed data for sub-daily precipitation is extremely limited. Although there have been several satellite products for sub-daily precipitation in QTP, their quality has large bias, leaving a large data gap for supporting rainstorm-related natural disaster studies in the region.The objective of this study is two-fold. We develop a new strategy to quantify the “temporal structure” of precipitation at sub-daily scales, as a basis of temporal downscaling. Then we use the new strategy to fill the data gap of sub-daily precipitation in QTP based on daily precipitation and geographical information. Findings show that the temporal structure of precipitation at sub-daily scales can be well described by a logarithmic function, and its uncertainty can be quantified by coefficient of variance and coefficient of skewness, whose values are estimated by a logarithmic and a linear function, respectively. The six parameters in the above three functions are found to be closely related to geographical conditions, which allows a 1-km parameters dataset to be created. The parameters dataset has the potential for wide applications in estimating sub-daily precipitation and supporting natural disasters studies in QTP.
Language:
English
Type:
info:eu-repo/semantics/conferenceObject
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