Examination of the mixed layer deepening process during convection using LES

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Yign Noh
  • Gahyun Goh
  • Siegfried Raasch

External Research Organisations

  • Yonsei University

Details

Original languageEnglish
Pages (from-to)2189-2195
Number of pages7
JournalJournal of physical oceanography
Volume40
Issue number9
Publication statusPublished - Sept 2010

Abstract

Analysis of large-eddy simulation data of the ocean mixed layer under convection reveals that the contribution from wind stress decreases with time as a result of inertial oscillation in the extratropical ocean and that it leads to a rapid increase of the bulk and gradient Richardson number at the mixed layer depth. The criteria for the mixed layer deepening in the widely used mixed layer models, such as the Niiler-Kraus (NK) model, the Price-Weller-Pinkel (PWP) model, and the K-profile parameterization (KPP) model, are examined in view of these results, and its implication on the model predictability is discussed.

Keywords

    Convection, Large eddy simulations, Mixed layer

ASJC Scopus subject areas

Cite this

Examination of the mixed layer deepening process during convection using LES. / Noh, Yign; Goh, Gahyun; Raasch, Siegfried.
In: Journal of physical oceanography, Vol. 40, No. 9, 09.2010, p. 2189-2195.

Research output: Contribution to journalArticleResearchpeer review

Noh Y, Goh G, Raasch S. Examination of the mixed layer deepening process during convection using LES. Journal of physical oceanography. 2010 Sept;40(9):2189-2195. doi: 10.1175/2010JPO4277.1
Noh, Yign ; Goh, Gahyun ; Raasch, Siegfried. / Examination of the mixed layer deepening process during convection using LES. In: Journal of physical oceanography. 2010 ; Vol. 40, No. 9. pp. 2189-2195.
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N1 - This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD, Basic Research Promotion Fund; KRF-2007-C00788) and by the National Research Foundation of Korea Grant funded by the Korean Government (MEST; NRF-2009-C1AAA001-0093068). Supercomputing was supported by KISTI (KSC-2008- S01-0009).

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