TY - JOUR
T1 - Impacts of Precipitation Modeling on Cloud Feedback in MIROC6
AU - Hirota, N.
AU - Michibata, T.
AU - Shiogama, H.
AU - Ogura, T.
AU - Suzuki, K.
N1 - Funding Information:
We thank the anonymous reviewers for their careful reading of our manuscript and their many insightful comments and suggestions. This study was supported by the Integrated Research Program for Advancing Climate Models TOUGOU (JPMXD0717935457) and KAKENHI (19H05669, 20K04067) from the Ministry of Education, Culture, Sports, Science, and Technology, Japan and the Environment Research and Technology Development Fund S20 (JPMEERF21S12004) and JPMEERF20202R03 of the Environmental Restoration and Conservation Agency of Japan, and the JST FOREST Program (JPMJFR206Y). The Earth Simulator at JAMSTEC and NEC SX-AURORA at NIES were used to perform the model simulations, and the Grid Analysis and Display System was used to plot the figures.
Funding Information:
We thank the anonymous reviewers for their careful reading of our manuscript and their many insightful comments and suggestions. This study was supported by the Integrated Research Program for Advancing Climate Models TOUGOU (JPMXD0717935457) and KAKENHI (19H05669, 20K04067) from the Ministry of Education, Culture, Sports, Science, and Technology, Japan and the Environment Research and Technology Development Fund S20 (JPMEERF21S12004) and JPMEERF20202R03 of the Environmental Restoration and Conservation Agency of Japan, and the JST FOREST Program (JPMJFR206Y). The Earth Simulator at JAMSTEC and NEC SX‐AURORA at NIES were used to perform the model simulations, and the Grid Analysis and Display System was used to plot the figures.
Publisher Copyright:
© 2022. The Authors.
PY - 2022/3/16
Y1 - 2022/3/16
N2 - 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.
AB - 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.
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U2 - 10.1029/2021GL096523
DO - 10.1029/2021GL096523
M3 - Article
AN - SCOPUS:85126658882
SN - 0094-8276
VL - 49
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 5
M1 - e2021GL096523
ER -