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Cited by 297

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

The super‐droplet method for the numerical simulation of clouds and precipitation: a particle‐based and probabilistic microphysics model coupled with a non‐hydrostatic model

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Shima, S., Kusano, K., Kawano, A., Sugiyama, T., Kawahara, S.·2009·Quarterly Journal of the Royal Meteorological Society
DOI 10.1002/qj.441
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Abstract

A novel, particle‐based, probabilistic approach for the simulation of cloud microphysics is proposed, which is named the super‐droplet method (SDM). This method enables the accurate simulation of cloud microphysics with a less demanding cost in computation. SDM is applied to a warm‐cloud system, which incorporates sedimentation, condensation/evaporation and stochastic coalescence. The methodology to couple super‐droplets and a non‐hydrostatic model is also developed. It is confirmed that the result of our Monte Carlo scheme for the stochastic coalescence of super‐droplets agrees fairly well with the solutions of the stochastic coalescence equation. The behaviour of the model is evaluated using a simple test problem, that of a shallow maritime cumulus formation initiated by a warm bubble. Possible extensions of SDM are briefly discussed. A theoretical analysis suggests that the computational cost of SDM becomes lower than the spectral (bin) method when the number of attributes—the variables that identify the state of each super‐droplet—becomes larger than some critical value, which we estimate to be in the range$2\sim4$. Copyright © 2009 Royal Meteorological Society

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Metadata

Authors
Shima, S., Kusano, K., Kawano, A., Sugiyama, T., & Kawahara, S.
Venue
Quarterly Journal of the Royal Meteorological Society
Publisher
Wiley
Published
2009-06-19
Volume
135
Issue
642
Pages
1307-1320
ISSN
  • 0035-9009 (ISSN-L)
  • 1477-870X
DOI
10.1002/qj.441
OpenAlex
W2021808904
Cited by
297
References
23
FWCI
3.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The super‐droplet method for the numerical simulation of clouds and precipitation: a particle‐based and probabilistic microphysics model coupled with a non‐hydrostatic model. https://app.cochat.ai/papers/10.1002/qj.441
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Shima, S., Kusano, K., Kawano, A., Sugiyama, T., & Kawahara, S. (2009). The super‐droplet method for the numerical simulation of clouds and precipitation: a particle‐based and probabilistic microphysics model coupled with a non‐hydrostatic model. Quarterly Journal of the Royal Meteorological Society. https://doi.org/10.1002/qj.441

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.