2020年3月
Process-Tracking Scheme Based on Bulk Microphysics to Diagnose the Features of Snow Particles
SOLA
- ,
- ,
- ,
- 巻
- 16
- 号
- 0
- 開始ページ
- 51
- 終了ページ
- 56
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.2151/sola.2020-009
- 出版者・発行元
- Meteorological Society of Japan
© The Author(s) 2020. We have developed a new method of diagnosing the characteristics of ice particles using a bulk microphysics model. Our model tracked the mass compositions of different classes of ice particles, using their microphysical process of origin, such as water vapor deposition and riming. The mass composition from depositional growth was further divided into six components by the temperature and humidity ranges corresponding to the typical growth habits of ice crystals. In test simulations, the new framework successfully revealed the influences of riming and depositional growths of ice particles within clouds and on surface snowfall. The new approach enables weather prediction models to provide much more information on the characteristics of ice particles regarding crystal habits and the extent of riming.
- リンク情報
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- DOI
- https://doi.org/10.2151/sola.2020-009
- URL
- https://www.jstage.jst.go.jp/article/sola/16/0/16_2020-009/_pdf
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85084208050&origin=inward 本文へのリンクあり
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85084208050&origin=inward
- ID情報
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- DOI : 10.2151/sola.2020-009
- eISSN : 1349-6476
- SCOPUS ID : 85084208050