{"DOI":"10.5194/gmd-15-771-2022","abstract":"
Cloud and precipitation processes remain among the largest sources\nof uncertainties in weather and climate modelling, and considerable attention\nhas been paid to improving the representation of the cloud and precipitation\nprocesses in numerical models in the last several decades. In this study, we\ndevelop a weighted ensemble (named EN) scheme by employing several widely\nused autoconversion (ATC) schemes to represent the ATC from cloud water to\nrainwater. One unique feature of the EN approach is that the ATC rate is a\nweighted mean value based on the calculations from several ATC schemes\nwithin a microphysics scheme with a negligible increase in computation cost.\nThe EN scheme is compared with the several commonly used ATC schemes by\nperforming real case simulations. In terms of accumulated rainfall and\nextreme hourly rainfall rate, the EN scheme provides better simulations than by using the single Berry\u2013Reinhardt scheme, which was originally used in\nthe Thompson scheme. It is worth emphasizing, in the present study, that we only\npay attention to the ATC process from cloud water into rainwater with the\npurpose of improving the modelling of the extreme rainfall events over southern\nChina. Actually, any (source and sink) term in a cloud microphysics scheme can\nbe treated with the same approach. The ensemble method proposed herein\nappears to have important implications for developing cloud microphysics\nschemes in numerical models, especially for the models with variable grid\nresolution, which would be expected to improve the representation of cloud\nmicrophysical processes in the weather and climate models.
","author":[{"family":"Yin"},{"family":"Liang"},{"family":"Wang"},{"family":"Xue"}],"id":"unknown","issued":{"date-parts":[[2022]]},"language":"en","page-first":"771","publisher":"Copernicus Publications","title":"Representation of the autoconversion from cloud to rain using a weighted ensemble approach: a case study using WRF v4.1.3","type":"article-journal","volume":"15"}