Abstract:Precipitation is an essential climate variable in the hydrologic cycle. Its abnormal change would have a serious impact on the social economy, ecological development and life safety. In recent decades, many studies about extreme precipitation have been performed on spatio-temporal variation patterns under global changes; little research has been conducted on the regionality and persistence, which tend to be more destructive. This study defines extreme precipitation events by percentile method, then applies the… Show more
“…Furthermore, the joint probability estimation using the copula theory highlights the underestimation of the return period due to the ignorance of mutual dependence. Changjun Wan [9] explored the spatiotemporal aggregation characteristics of extreme precipitation over China using the local spatial autocorrelation and spatiotemporal scanning models. Integrating both models can effectively detect the accumulation of extreme events.…”
The Atmosphere Special Issue, entitled “Emerging Hydro-Climatic Patterns, Teleconnections and Extreme Events in Changing World at Different Timescales”, comprises thirteen original papers [...]
“…Furthermore, the joint probability estimation using the copula theory highlights the underestimation of the return period due to the ignorance of mutual dependence. Changjun Wan [9] explored the spatiotemporal aggregation characteristics of extreme precipitation over China using the local spatial autocorrelation and spatiotemporal scanning models. Integrating both models can effectively detect the accumulation of extreme events.…”
The Atmosphere Special Issue, entitled “Emerging Hydro-Climatic Patterns, Teleconnections and Extreme Events in Changing World at Different Timescales”, comprises thirteen original papers [...]
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