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Tropical intraseasonal variability in the MRI-20km60L AGCM

  • Ping Liu
  • , Yoshiyuki Kajikawa
  • , Bin Wang
  • , Akio Kitoh
  • , Tetsuzo Yasunari
  • , Tim Li
  • , H. Annamalai
  • , Xiouhua Fu
  • , Kazuyoshi Kikuchi
  • , Ryo Mizuta
  • , Kavirajan Rajendran
  • , Duane E. Waliser
  • , Daehyun Kim
  • University of Hawai'i at Mānoa
  • Japan Meteorological Agency
  • Japan Agency for Marine-Earth Science and Technology
  • CSIR - Fourth Paradigm Institute
  • Jet Propulsion Laboratory, California Institute of Technology
  • Seoul National University

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

This study documents the detailed characteristics of the tropical intraseasonal variability (TISV) in the MRI-20km60L AGCM that uses a variant of the Arakawa-Schubert cumulus parameterization. Mean states, power spectra, propagation features, leading EOF modes, horizontal and vertical structures, and seasonality associated with the TISV are analyzed. Results show that the model reproduces the mean states in winds realistically and in convection comparable to that of the observations. However, the simulated TISV is less realistic. It shows low amplitudes in convection and low-level winds in the 30-60-day band. Filtered anomalies have standing structures. Power spectra and lag correlation of the signals do not propagate dominantly either in the eastward direction during boreal winter or in the northward direction during boreal summer. A combined EOF (CEOF) analysis shows that winds and convection have a loose coupling that cannot sustain the simulated TISV as realistically as that observed. In the composited mature phase of the simulated MJO, the low-level convergence does not lead convection clearly so that the moisture anomalies do not tilt westward in the vertical, indicating that the low-level convergence does not favor the eastward propagation. The less realistic TISV suggests that the representation of cumulus convection needs to be improved in this model.

Original languageEnglish
Pages (from-to)2006-2022
Number of pages17
JournalJournal of Climate
Volume22
Issue number8
DOIs
StatePublished - 2009

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