New Critical Length for the Onset of Self‐Aggregation of Moist Convection
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- Tomoro Yanase
- RIKEN Center for Computational Science Kobe Japan
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- Seiya Nishizawa
- RIKEN Center for Computational Science Kobe Japan
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- Hiroaki Miura
- RIKEN Center for Computational Science Kobe Japan
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- Tetsuya Takemi
- Disaster Prevention Research Institute Kyoto University Kyoto Japan
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- Hirofumi Tomita
- RIKEN Center for Computational Science Kobe Japan
書誌事項
- 公開日
- 2020-08-13
- 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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- 10.1029/2020gl088763
- 公開者
- American Geophysical Union (AGU)
この論文をさがす
説明
<jats:title>Abstract</jats:title><jats:p>Convective self‐aggregation (CSA) in an idealized modeling framework is key to understanding the role of clouds. To investigate the existence of characteristic length of CSA onset, we conducted systematic cloud‐resolving simulations, with a scope covering the horizontal domain size and resolution. In the high‐resolution simulation, CSA can occur with a square domain larger than ~500 km. Based on the competition between two near‐surface horizontal divergent flows, we discuss the characteristic length existence. While the flow induced by radiative cooling in the subsidence region acts as positive feedback for moisture perturbation and scales with the domain size, the other flow induced by evaporative cooling of falling rain in the convective region acts as negative feedback and does not scale. The study suggests characteristic length existence for the organization of moist convection, even in real‐world conditions.</jats:p>
収録刊行物
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- Geophysical Research Letters
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Geophysical Research Letters 47 (16), 2020-08-13
American Geophysical Union (AGU)
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詳細情報 詳細情報について
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- CRID
- 1360853567796982016
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- ISSN
- 19448007
- 00948276
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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
