論文

査読有り 本文へのリンクあり
2019年12月28日

Convergence of Convective Updraft Ensembles With Respect to the Grid Spacing of Atmospheric Models

Geophysical Research Letters
  • Kenta Sueki
  • ,
  • Tsuyoshi Yamaura
  • ,
  • Hisashi Yashiro
  • ,
  • Seiya Nishizawa
  • ,
  • Ryuji Yoshida
  • ,
  • Yoshiyuki Kajikawa
  • ,
  • Hirofumi Tomita

46
24
開始ページ
14817
終了ページ
14825
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1029/2019GL084491
出版者・発行元
AMER GEOPHYSICAL UNION

©2019. The Authors. Atmospheric deep moist convection can organize into cloud systems, which impact the Earth's climate significantly. High-resolution simulations that correctly reproduce organized cloud systems are necessary to understand the role of deep convection in the Earth's climate system. However, there remain issues regarding convergence with respect to grid spacing. To investigate the resolution necessary for a reasonable simulation of deep convection, we conducted grid-refinement experiments using state-of-the-art atmospheric models. We found that the structure of an updraft ensemble in an organized cloud system converges at progressively smaller scales as the grid spacing is reduced. The gap between two adjacent updrafts converges to a particular distance when the grid spacing becomes as small as 1/20–1/40 of the updraft radius. We also found that the converged inter-updraft distance value is not significantly different between Reynolds-averaged Navier–Stokes simulations and large eddy simulations for grid spacings in the terra incognita range.

リンク情報
DOI
https://doi.org/10.1029/2019GL084491
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000502929500001&DestApp=WOS_CPL
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85077023800&origin=inward 本文へのリンクあり
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85077023800&origin=inward
ID情報
  • DOI : 10.1029/2019GL084491
  • ISSN : 0094-8276
  • eISSN : 1944-8007
  • SCOPUS ID : 85077023800
  • Web of Science ID : WOS:000502929500001

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