Articles | Volume 14
https://doi.org/10.5194/asr-14-103-2017
https://doi.org/10.5194/asr-14-103-2017
02 May 2017
 | 02 May 2017

LES study of microphysical variability bias in shallow cumulus

Yefim Kogan

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Latest update: 18 Jul 2024
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Short summary
Exact description of cloud microphysical processes is essential for providing accurate weather forecasts. The paper evaluates errors of different methods to account for variability of cloud microphysical parameters, such as cloud water. rain water, and cloud drop concentration. It is found that neglecting cloud variability results in a substantial underestimate of rain development in the short run. Nevertheless the total effect on rain development in the long run may be uncertain due to the fac