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Investigating the Spatiotemporal Complexity of Rainfall from a Chaotic Perspective: Case Study in the Jinsha River Basin, China

AbstractInvestigating the complexity of rainfall systems is an important way to understand the impacts of climate change. Based on daily rainfall recorded over the past 50 years from 24 meteorological stations in the Jinsha River Basin (JRB), the phase space analysis, power spectrum, correlation dim...

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Bibliographic Details
Published in:Journal of hydrologic engineering 2024-08, Vol.29 (4)
Main Authors: Yu, Siyi, Wang, Wensheng, Liang, Hanxu, Zhang, Dan
Format: Article
Language:English
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Summary:AbstractInvestigating the complexity of rainfall systems is an important way to understand the impacts of climate change. Based on daily rainfall recorded over the past 50 years from 24 meteorological stations in the Jinsha River Basin (JRB), the phase space analysis, power spectrum, correlation dimension method, and 0–1 test algorithm were used to develop a comprehensive analysis of the spatiotemporal complexity of rainfall at various time scales (daily, monthly, and seasonal). According to spatial patterns of rainfall complexity obtained from the spatial interpolation of asymptotic growth rates (K), the JRB was divided into two subregions by the 29°N line, and the influence of topography and climate on the complexity of regional rainfall was further investigated by correlation analysis. The results show that the rainfall dynamics of the JRB are chaotic, with a relatively strong state at daily and monthly scales, and a weak state at seasonal scale. Spatially, the daily rainfall complexity displays relatively small differences among 24 meteorological stations, while the monthly and seasonal rainfall complexity is ranked as lower reaches > source area > middle reaches. Additionally, monthly rainfall complexity has a significant positive and negative correlation (p
ISSN:1084-0699
1943-5584
DOI:10.1061/JHYEFF.HEENG-6038