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Using a Multiphysics Ensemble for Exploring Diversity in Cloud–Shortwave Feedback in GCMs

Authors :
Masahiro Watanabe
Hideo Shiogama
James D. Annan
Julia C. Hargreaves
Youichi Kamae
Tokuta Yokohata
Seita Emori
Tomoo Ogura
Masahide Kimoto
Masakazu Yoshimori
Source :
Journal of Climate. 25:5416-5431
Publication Year :
2012
Publisher :
American Meteorological Society, 2012.

Abstract

This study proposes a systematic approach to investigate cloud-radiative feedbacks to climate change induced by an increase of CO2 concentrations in global climate models (GCMs). Based on two versions of the Model for Interdisciplinary Research on Climate (MIROC), which have opposite signs for cloud–shortwave feedback (ΔSWcld) and hence different equilibrium climate sensitivities (ECSs), hybrid models are constructed by replacing one or more parameterization schemes for cumulus convection, cloud, and turbulence between them. An ensemble of climate change simulations using a suite of eight models, called a multiphysics ensemble (MPE), is generated. The MPE provides a range of ECS as wide as the Coupled Model Intercomparison Project phase 3 (CMIP3) multimodel ensemble and reveals a different magnitude and sign of ΔSWcld over the tropics, which is crucial for determining ECS. It is found that no single process controls ΔSWcld, but that the coupling of two processes does. Namely, changing the cloud and turbulence schemes greatly alters the mean and the response of low clouds, whereas replacing the convection and cloud schemes affects low and middle clouds over the convective region. For each of the circulation regimes, ΔSWcld and cloud changes in the MPE have a nonlinear, but systematic, relationship with the mean cloud amount, which can be constrained from satellite estimates. The analysis suggests a positive feedback over the subsidence regime and a near-neutral or weak negative ΔSWcld over the convective regime in these model configurations, which, however, may not be carried into other models.

Details

ISSN :
15200442 and 08948755
Volume :
25
Database :
OpenAIRE
Journal :
Journal of Climate
Accession number :
edsair.doi...........e5b1d04d2ba328038b3559bc336f252a
Full Text :
https://doi.org/10.1175/jcli-d-11-00564.1