A grid refinement study of trade wind cumuli simulated by a Lagrangian cloud microphysical model: the super‐droplet method
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- Yousuke Sato
- RIKEN Advanced Institute for Computational Science Kobe Japan
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- Shin‐ichiro Shima
- RIKEN Advanced Institute for Computational Science Kobe Japan
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- Hirofumi Tomita
- RIKEN Advanced Institute for Computational Science Kobe Japan
書誌事項
- 公開日
- 2017-09
- 資源種別
- journal article
- 権利情報
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- http://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.1002/asl.764
- 公開者
- Wiley
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説明
<jats:title>Abstract</jats:title><jats:p>The impact of spatial resolution on the simulation of trade wind cumuli was investigated. The super‐droplet method, an efficient stochastic Lagrangian cloud microphysical model, was used to reduce uncertainties due to the empirical parameterisation of cloud microphysics and numerical diffusion for advection, which is inevitable in an Eulerian cloud microphysical model. We showed for the first time that cloud cover numerically converged with a grid resolution of 12.5 m. Our grid refinement analysis elucidated a significant contribution of small cumulus clouds to total cloud cover, as such cumuli are generated by small‐scale updrafts that can be resolved only at a fine resolution.</jats:p>
収録刊行物
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- Atmospheric Science Letters
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Atmospheric Science Letters 18 (9), 359-365, 2017-09
Wiley
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詳細情報 詳細情報について
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- CRID
- 1360004229947569280
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- DOI
- 10.1002/asl.764
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- ISSN
- 1530261X
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- 資料種別
- journal article
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- データソース種別
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- Crossref
- KAKEN
- OpenAIRE
