Revisiting the impact of stochastic multicloud model on the MJO using low-resolution ECHAM6.3 atmosphere model

  • Libin Ma
  • , Karsten Peters
  • , Bin Wang
  • , Juan Li

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Based on the preceding work, the influence of the stochastic multicloud model (SMCM) on the Madden-Julian oscillation (MJO) in the state-of-the-art ECHAM6.3 atmospheric general circulation model (AGCM) is further evaluated. The evaluation presented here is based on six recently proposed dynamics-oriented diagnostic metrics. Lag-longitude correlation maps of surface precipitation in the eastern Indian Ocean and West Pacific Ocean confirm the previously discovered improved representation of the MJO in the modified ECHAM6.3 model compared with the standard configuration. In fact, the modified ECHAM6.3 outperforms the default ECHAM6.3 in five of the six MJO-related diagnostics evaluated here. In detail, the modified ECHAM6.3 (1) successfully models the eastward propagation of boundary layer moisture convergence (BLMC); (2) captures the rearward-tilted structure of equivalent potential temperature (EPT) in the lower troposphere and forward-tilted structure of EPT in the upper troposphere; (3) exhibits the rearward-tilted structure of equatorial diabatic heating in the lower troposphere; (4) adequately simulates the MJO-related horizontal circulation at 850 and 200 hPa and the 300 hPa diabatic heating structure. These evaluations confirm the crucial role of convective-parameterization formulation on GCMsimulated MJO dynamics and support the further application and exploration of the SMCM concept in fullcomplexity GCMs.

Original languageEnglish
Pages (from-to)977-993
Number of pages17
JournalJournal of the Meteorological Society of Japan
Volume97
Issue number5
DOIs
StatePublished - 2019
Externally publishedYes

Funding

We thank Dr. Thorsten Mauritsen from Max Planck Institute for Meteorology on the suggestion of tuning the TOA imbalance. This work is supported by the National Key R&D Program of China (Grant No. 2018YFC1505803). This study is also sponsored by the Nanjing University of Information Science and Technology through funding the joint China-US Atmosphere-Ocean Research Center at the University of Hawaii at Manoa, and the Startup Foundation for Introducing Talent of NUIST (No. 2018r064). KP acknowledges funding by the Deutscher Wetterdienst (DWD) within the Hans-Ertel-Zentrum for Weather Research (HErZ). This is IPRC publication number 1385 and the ESMC publication number 260.

Keywords

  • Dynamics-oriented diagnosis
  • ECHAM6.3 atmospheric model
  • Eastward propagation of madden-julian oscillation
  • Madden-Julian oscillation
  • Stochastic multicloud model

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