Water Resources Research · 2021 · 19 citations · 56 references
Natural ResourcesEarth SciencesHydrologyFlood HydrologyHydrometeorologyWeather ForecastingExtreme PrecipitationFlood ForecastingHydrologic AnalysisHydrologic ExtremesExtreme Flood EventsExtreme RainfallExtreme Rainfall EventsHistorical Flood AnalysisHistorical Flood DataHistorical FloodsMountain Flood HydrologyRegional Flood Climatology
Abstract Characterizing the upper tail of flood peak distributions remains a challenge due to the elusive nature of extreme floods. China has experienced some of the most extreme floods on Earth and is therefore an important setting for extreme flood research. Here, we examine the upper tail of flood peaks over China based on a comprehensive flood dataset that integrates systematic observations from 1759 stream gaging stations and 14,779 historical flood surveys. Floods with large upper tail ratios (i.e., flood peak discharge normalized by sample 10‐yr flood) cluster spatially in the windward regions of mountainous terrain with basin mean annual rainfall of around 550 mm. Large upper tail ratio floods are associated with a mixture of rainfall generation processes. These processes are characterized by anomalous moisture transport (e.g., zonal water vapor pathways) and/or synoptic configurations (e.g., blocking), with respect to flood‐producing storms for annual flood peaks. Downscaling simulations with the Weather Research and Forecasting model for the 1939, 1963, and 2016 floods over the North China Plain region highlight the role of interactions between complex terrain and large‐scale environment in defining the world envelope curve of flood peaks. The upper‐tail floods demonstrate a combination of ingredients producing extreme rainfall. Our results provide important insights to extreme floods in China and a frame of reference for assessing the largest floods on Earth.
56
A Description of the Advanced Research WRF Model Version 4
C. Skamarock, B. Klemp, Jimy Dudhia et al. · 2019 · 2.3K citations · Full text
Natural Sciences, Computer Science, Numerical Weather Prediction +5
Statistics of extremes in hydrology
Richard W. Katz, M. B. Parlange, Philippe Naveau · Advances in Water Resources · 2002 · 1.7K citations · Full text
Orographic effects on precipitating clouds
Robert A. Houze · Reviews of Geophysics · 2011 · 951 citations · Full text
Global trends in tropical cyclone risk
Pascal Peduzzi, Bruno Chatenoux, Hy Dao et al. · Nature Climate Change · 2012 · 788 citations