In the backdrop of a revolution in weather prediction by Numerical Weather Prediction (NWP) models, quantitative prediction of intensity of heavy rainfall events and associated disasters has remained a challenge. Encouraged by compelling evidence of electrical influences on cloud/rain microphysical processes, here we propose a hypothesis that modification of raindrop size distribution (RDSD) towards larger drop sizes through enhanced collision-coalescence facilitated by cloud electric fields could be one of the factors responsible for intensity errors in weather/climate models. The robustness of the hypothesis is confirmed through a series of simulations of strongly electrified (SE) rain events and weakly electrified (WE) events with a convection-permitting weather prediction model incorporating the electrically modified RDSD parameters in the model physics. Our results indicate a possible roadmap for improving hazard prediction associated with extreme rainfall events in weather prediction models and climatological dry bias of precipitation simulation in many climate models.
Direct Radiative Impacts of Stratospheric Aerosols on the Tropical Troposphere: Clouds, Precipitation, and Circulation in Convection-Resolving and Global Simulations
Columbia University（哥伦比亚大学）；NASA Goddard Institute for Space Studies（美国国家航空航天局戈达德太空研究所）；Lamont-Doherty Earth Observatory（拉蒙特-多尔蒂地球观测站）
Three-Dimensional Variational Data Assimilation with Rapid Update Cycling for Short-Range Precipitation Forecasting: A Case Study of Heavy Rainfall in Bali, Indonesia
Bandung Institute of Technology (ITB)（万隆理工学院）；Ronin Institute for Independent Scholarship（龙人独立学术研究学院）；School of Systems Science and Industrial Engineering, State University of New York (SUNY)（纽约州立大学系统科学与工业工程学院）
A Data-Driven Regional Model for Skillful Medium-Range Typhoon Prediction
Shanghai Typhoon Institute, and Key Laboratory of Numerical Modeling for Tropical Cyclone of the China Meteorological Administration（上海台风研究所，中国气象局台风数值模式重点实验室）；Department of Atmospheric and Oceanic Sciences and Institute of Atmospheric Sciences, Fudan University（复旦大学大气与海洋科学系和大气科学研究院）；Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign（伊利诺伊大学厄巴纳-香槟分校大气科学系）
