Impacts of Precipitation Modeling on Cloud Feedback in MIROC6

N. Hirota, T. Michibata, H. Shiogama, T. Ogura, K. Suzuki

Research output: Contribution to journalArticlepeer-review

Abstract

Uncertainties in cloud feedback remain stubbornly significant in global climate models, disrupting the credibility of climate projections. This study examined the impacts of the prognostic treatment of precipitation on cloud feedback using the Model for Interdisciplinary Research on Climate version 6 (MIROC6). In a prognostic precipitation scheme, precipitating hydrometers are explicitly predicted, allowing a more sophisticated representation of their microphysical and radiative effects than that of traditional diagnostic schemes. The introduction of the prognostic scheme in MIROC6 increases cloud feedback associated with the elevated altitude of clouds in warming climates. Moreover, the equilibrium climate sensitivity increases by about 20%. Because associated high-level clouds are better represented in the prognostic scheme, climate projections with larger altitude feedback are considered more credible. Additional analyses of Coupled Model Intercomparison Project models suggests that their altitude cloud feedback would be higher if their underestimation of high-level clouds were mitigated.

Original languageEnglish
Article numbere2021GL096523
JournalGeophysical Research Letters
Volume49
Issue number5
DOIs
Publication statusPublished - Mar 16 2022

ASJC Scopus subject areas

  • Geophysics
  • Earth and Planetary Sciences(all)

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