Impacts of uncertain cloud-related parameters on Pacific Walker circulation simulation in GAMIL2

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Abstract

To investigate the impacts of uncertain parameters on simulated Pacific Walker circulation (PWC), a large number of perturbed parameter simulations are conducted using GAMIL2 (the Grid-point Atmospheric Model of IAP/LASG, version 2), and three different PWC indices are selected. The results show that the influences of some parameters on PWC are dependent on the selected index–a finding supported by the inconsistent responses of different indexes to these parameters. Among the nine parameters, the RH threshold for deep convection (RHCRIT) is the most sensitive in simulating PWC. Increased RHCRIT weakens deep convective heating and stratiform cooling, and strengthens shallow convective heating. Further analysis reveals that uncertain parameters affect the simulated PWC through changing the diabatic heating and vertical motion.

Original languageEnglish
Pages (from-to)7-14
Number of pages8
JournalAtmospheric and Oceanic Science Letters
Volume11
Issue number1
DOIs
StatePublished - Jan 2 2018
Externally publishedYes

Funding

This work was jointly funded by the National Key Research Project [grant number 2016YFB0200805], the National Natural Science Foundation of China [grant number 41622503], [grant number 41475043], [grant number 41405073], and [grant number 91530323], Open Fund of Key Laboratory of Data Analysis and Applications, SOA [grant number LDAA-2014-03], and the National Key Basic Research Program of China [grant number 2015CB954101]. The authors acknowledge ZHANG Tao and XU Haoyu of Tsinghua University for their help with the model configuration.

Keywords

  • GAMIL2, diabatic heating
  • Pacific
  • Walker circulation
  • cloud-related parameters
  • uncertainty

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