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From China’s Heavy Precipitation in 2020 to a “Glocal” Hydrometeorological Solution for Flood Risk Prediction
Advances in Atmospheric Sciences ( IF 5.8 ) Pub Date : 2020-12-23 , DOI: 10.1007/s00376-020-0260-y Huan Wu , Xiaomeng Li , Guy J.-P. Schumann , Lorenzo Alfieri , Yun Chen , Hui Xu , Zhifang Wu , Hong Lu , Yamin Hu , Qiang Zhu , Zhijun Huang , Weitian Chen , Ying Hu
Advances in Atmospheric Sciences ( IF 5.8 ) Pub Date : 2020-12-23 , DOI: 10.1007/s00376-020-0260-y Huan Wu , Xiaomeng Li , Guy J.-P. Schumann , Lorenzo Alfieri , Yun Chen , Hui Xu , Zhifang Wu , Hong Lu , Yamin Hu , Qiang Zhu , Zhijun Huang , Weitian Chen , Ying Hu
The prolonged mei-yu/baiu system with anomalous precipitation in the year 2020 has swollen many rivers and lakes, caused flash flooding, urban flooding and landslides, and consistently wreaked havoc across large swathes of China, particularly in the Yangtze River basin. Significant precipitation and flooding anomalies have already been seen in magnitude and extension so far this year, which have been exerting much higher pressure on emergency responses in flood control and mitigation than in other years, even though a rainy season with multiple ongoing serious flood events in different provinces is not that uncommon in China. Instead of delving into the causes of the uniqueness of this year’s extreme precipitation-flooding situation, which certainly warrants in-depth exploration, in this article we provide a short view toward a more general hydrometeorological solution to this annual nationwide problem. A "glocal" (global to local) hydrometeorological solution for floods (GHS-F) is considered to be critical for better preparedness, mitigation, and management of different types of significant precipitation-caused flooding, which happen extensively almost every year in many countries such as China, India and the United States. Such a GHS-F model is necessary from both scientific and operational perspectives, with the strength in providing spatially consistent flood definitions and spatially distributed flood risk classification considering the heterogeneity in vulnerability and resilience across the entire domain. Priorities in the development of such a GHS-F are suggested, emphasizing the user’s requirements and needs according to practical experiences with various flood response agencies.
更新日期：2020-12-23
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