Articles | Volume 14
02 May 2017
 | 02 May 2017

LES study of microphysical variability bias in shallow cumulus

Yefim Kogan

Related authors

Condensation–mass flux connection in warm convective clouds: theory and implications for cloud supersaturation
Yefim L. Kogan
Adv. Sci. Res., 19, 91–95,,, 2022
Short summary
LES study of precipitation/condensation dependance on cumulus clouds dynamics
Yefim L. Kogan
Adv. Sci. Res., 18, 89–92,,, 2021
Short summary

Cited articles

Albrecht, B. A., Bretherton, C. S., Johnson, D. W., Schubert, W. H., and Frisch, A. S.: The Atlantic stratocumulus transition experiment – ASTEX, B. Am. Meteorol. Soc. 76, 889–904, 1995.
Golaz, J.-C., Larson, V. E., and Cotton, W. R.: A PDF-based model for boundary layer clouds. Part I: Method and model description, J. Atmos. Sci., 59, 3540–3551, 2002.
Khairoutdinov, M. F. and Kogan, Y. L.: A large eddy simulation model with explicit microphysics: Validation against aircraft observations of a stratocumulus-topped boundary layer, J. Atmos. Sci., 56, 2115–2131, 1999.
Khairoutdinov, M. and Kogan, Y. L.: A new cloud physics parameterization for large-eddy simulation models of marine stratocumulus, Mon. Weather Rev., 128, 229–243, 2000.
Kogan, Y. L.: A Cumulus Cloud Microphysics Parameterization for Cloud-Resolving Models, J. Atmos. Sci., 70, 1423–1436, 2013.
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