Improving synoptic and intraseasonal variability in CFSv2 via stochastic representation of organized convection

B. B. Goswami, B. Khouider, R. Phani, P. Mukhopadhyay, A. Majda

Research output: Contribution to journalArticle

Abstract

To better represent organized convection in the Climate Forecast System version 2 (CFSv2), a stochastic multicloud model (SMCM) parameterization is adopted and a 15 year climate run is made. The last 10 years of simulations are analyzed here. While retaining an equally good mean state (if not better) as the parent model, the CFS-SMCM simulation shows significant improvement in the synoptic and intraseasonal variability. The CFS-SMCM provides a better account of convectively coupled equatorial waves and the Madden-Julian oscillation. The CFS-SMCM exhibits improvements in northward and eastward propagation of intraseasonal oscillation of convection including the MJO propagation beyond the maritime continent barrier, which is the Achilles Heel for coarse-resolution global climate models (GCMs). The distribution of precipitation events is better simulated in CFSsmcm and spreads naturally toward high-precipitation events. Deterministic GCMs tend to simulate a narrow distribution with too much drizzling precipitation and too little high-precipitation events.

Original languageEnglish (US)
Pages (from-to)1104-1113
Number of pages10
JournalGeophysical Research Letters
Volume44
Issue number2
DOIs
StatePublished - Jan 28 2017

Keywords

  • CFSv2
  • climate model
  • organized convection
  • stochastic multicloud model
  • synoptic and intraseasonal variability

ASJC Scopus subject areas

  • Geophysics
  • Earth and Planetary Sciences(all)

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