Mudiar, DipjyotiHazra, AnupamPawar, S.D.Karumuri, Rama KrishnaKonwar, MahenMukherjee, SubrataSrivastava, Manoj K.Goswami, B.N.Williams, Earle2025-01-272025-01-272022948276https://dl.bhu.ac.in/ir/handle/123456789/14388In the backdrop of a significant improvement in weather prediction with Numerical Weather Prediction models, quantitative prediction of the intensity of heavy rainfall events and associated disasters has remained a challenge. Encouraged by the recent emergence of compelling observational evidence for a significant electrical influence on cloud/rain microphysical processes (Mudiar, Pawar, Gopalakrishnana et�al.,�2021, https://doi.org/10.1029/2021gl093577), here we propose a hypothesis that the modification of the raindrop size distribution (RDSD) towards larger drop sizes facilitated by cloud electric fields could be one factor responsible for realistic rainfall intensity in weather/climate models. The robustness of the proposed hypothesis is confirmed through a series of simulations of strongly electrified rain events with the Weather Research and Forecasting 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. � 2021. American Geophysical Union. All Rights Reserved.electrical forceslightningnumerical weather predictionraindrop size distributionraingushArticlehttps://doi.org/10.1029/2021GL096276