Notes on the state-of-the-art numerical modeling of cloud microphysics

A. Khain*, M. Ovtchinnikov, M. Pinsky, A. Pokrovsky, H. Krugliak

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

296 Scopus citations

Abstract

Despite significant advances in cloud physics, many problems exist in the state-of-the-art microphysical cloud modeling. The progress is hampered by (1) many remaining gaps and uncertainties in our knowledge of cloud microphysics and (2) limitations of numerical approaches in representing some of known microphysical processes. In this paper, we attempt to give an assessment of several important problems of warm and ice microphysics and model limitations and identify areas where improvements are most urgently needed. Because of the complexity and broadness of the subject, the review does not offer an exhausted analysis of the field or provide solutions for all discussed problems. We are concerned with the spectral (bin) microphysical approach, which does not restrict the particle size spectra to any particular shape and, therefore, claims to reproduce formation of size spectra of cloud particles. (C) 2000 Elsevier Science B.V. All rights reserved.

Original languageAmerican English
Pages (from-to)159-224
Number of pages66
JournalAtmospheric Research
Volume55
Issue number3-4
DOIs
StatePublished - 2000

Bibliographical note

Funding Information:
The authors are grateful to Prof. I. Mazin for valuable comments and remarks. This study was partially supported by the Germany–Israel Science Foundation (grant 0407-008.08/95), and by the Israel Science Foundation founded by the Israel Academy of Sciences and Arts (grant 572/97) and the Israel Ministry of Science (grant 84291-96) and the Environmental Sciences Division of the U.S. Department of Energy (through Pacific Northwest National Laboratory Contract 144880-A-Q1 to the Cooperative Institute for Mesoscale Meteorological Studies).

Keywords

  • Cloud microphysics
  • Droplet spectrum formation
  • Numerical modeling of cloud processes
  • Precipitation formation

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