Extreme Precipitation and Floods: Monitoring, Modelling, and Forecasting

Flooding is one of the leading natural hazards [1]. Floods often cause enormous casualties and substantial property damage on a global scale every year. Extreme precipitation alongwith increasing urbanization is the main culprit of most floods. Under climate change, increases in extreme precipitation are projected for the United States and other countries. Understanding themechanisms of extreme precipitation and its hydrometeorological connection with flooding, especially under the circumstances of global climate change, is essential for flood prevention and mitigation. Extreme precipitation and flood monitoring are traditionally obtained from in situ observations. However, remote sensing provides us with various hydrological and meteorological retrievals at a range of temporal and spatial resolutions. Remotely sensed data alone and their integration with modelling techniques are expected to enhance flood monitoring and modelling capability to aid in decision-making. There is an urgent need for improved monitoring, modelling, and forecasting techniques in extreme precipitation to develop more effective flood protection measures and management

A simple topography-driven and calibration-free runoff generation module

This study was supported by National Natural Science Foundation of China (41801036), National Key R&D Program of China (2017YFE0100700), the Key Program of National Natural Science Foundation of China (no. 41730646), and Key Laboratory for Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (KLMHESP-17-02). The authors acknowledge three anonymous reviewers for their very constructive comments and suggestions that substantially improved the quality of this paper.Peer reviewedPublisher PD