气候变化领域集成服务门户(CCPortal): Evolutionary analysis of rainstorm momentum and non-stationary variating patterns in response to climatic changes across diverse terrains

CCPortal

DOI	10.1038/s41598-024-53939-8
	Evolutionary analysis of rainstorm momentum and non-stationary variating patterns in response to climatic changes across diverse terrains
	Huang, Chien-Lin; Hsu, Nien-Sheng
发表日期	2024
ISSN	2045-2322
起始页码	14
结束页码	1
卷号	14 期号:1
英文摘要	This study aims to analyze time-series measurements encompassing rainstorm events with over a century of datasets to identify rainstorm evolution and dimensional transitions in non-stationarity. Rainstorm events are identified using partial duration series (PDS) to extract changes in rainstorm characteristics, namely maximum intensity (MAXI), duration (D), total rainfall (TR), and average rainfall intensity (ARI), in response to climate change. Ensemble empirical mode decomposition is used for trend filtering and non-stationary identification to explore spatiotemporal insight patterns. Trend models for the first-second-order moments of rainstorm characteristics are used to formulate the identified mean-variance trends using combined multi-dimensional linear-parabolic regression. Best-fitting combinations of various distributions (probability density functions) and trend models for multiple characteristic series are identified based on the Akaike information criterion. We analyze the dimensional transition in rainfall non-stationarity based on sensitivity analysis using PDS to determine its natural geophysical causes. The integrated methodology was applied to the data retrieved from nine weather stations in Taiwan. Our findings reveal rainstorm characteristics of short D but high rainfall intensity or lower MAXI but high TR across multiple stations. The parabolic trend of the first-order moment (i.e., mean) of ARI, D, and TR appears at the endpoint of the mountain ranges. Areas receiving monsoons and those on the windward plain show a rising parabolic trend in the first- and second-order moments (i.e., mean-variance) characterizing MAXI, implying that the occurrence frequency and magnitude of extreme MAXI increases. Non-stationary transitions in MAXI appear for mountain ranges exposed to the monsoon co-movement effect on both windward and leeward sides. Stations in the plains and rift valleys show upgraded and downgraded transitions in the non-stationary dimensions for D, respectively.
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001163729100002
来源期刊	SCIENTIFIC REPORTS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303022
作者单位	National Taiwan University
推荐引用方式 GB/T 7714	Huang, Chien-Lin,Hsu, Nien-Sheng. Evolutionary analysis of rainstorm momentum and non-stationary variating patterns in response to climatic changes across diverse terrains[J],2024,14(1).
APA	Huang, Chien-Lin,&Hsu, Nien-Sheng.(2024).Evolutionary analysis of rainstorm momentum and non-stationary variating patterns in response to climatic changes across diverse terrains.SCIENTIFIC REPORTS,14(1).
MLA	Huang, Chien-Lin,et al."Evolutionary analysis of rainstorm momentum and non-stationary variating patterns in response to climatic changes across diverse terrains".SCIENTIFIC REPORTS 14.1(2024).