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The impact of parametrized convection on cloud feedback

  • Mark J. Webb
  • , Adrian P. Lock
  • , Christopher S. Bretherton
  • , Sandrine Bony
  • , Jason N.S. Cole
  • , Abderrahmane Idelkadi
  • , Sarah M. Kang
  • , Tsuyoshi Koshiro
  • , Hideaki Kawai
  • , Tomoo Ogura
  • , Romain Roehrig
  • , Yechul Shin
  • , Thorsten Mauritsen
  • , Steven C. Sherwood
  • , Jessica Vial
  • , Masahiro Watanabe
  • , Matthew D. Woelfle
  • , Ming Zhao
  • Now at Met Office Hadley Centre
  • University of Washington
  • Meteorological Research Branch
  • Université Pierre et Marie Curie
  • Ulsan National Institute of Science and Technology
  • JMA Meteorological Research Institute
  • National Institute for Environmental Studies of Japan
  • Météo-France/CNRS
  • Max Planck Institute for Meteorology
  • University of New South Wales
  • University of Tokyo
  • National Oceanic and Atmospheric Administration

Research output: Contribution to journalArticlepeer-review

76 Citations (Scopus)

Abstract

We investigate the sensitivity of cloud feedbacks to the use of convective parametrizations by repeating the CMIP5/CFMIP-2 AMIP/AMIP + 4K uniform sea surface temperature perturbation experiments with 10 climate models which have had their convective parametrizations turned off. Previous studies have suggested that differences between parametrized convection schemes are a leading source of inter-model spread in cloud feedbacks. We find however that 'ConvOff' models with convection switched off have a similar overall range of cloud feedbacks compared with the standard configurations. Furthermore, applying a simple bias correction method to allow for differences in present-day global cloud radiative effects substantially reduces the differences between the cloud feedbacks with and without parametrized convection in the individual models. We conclude that, while parametrized convection influences the strength of the cloud feedbacks substantially in some models, other processes must also contribute substantially to the overall inter-model spread. The positive shortwave cloud feedbacks seen in the models in subtropical regimes associated with shallow clouds are still present in the ConvOff experiments. Inter-model spread in shortwave cloud feedback increases slightly in regimes associated with trade cumulus in the ConvOff experiments but is quite similar in the most stable subtropical regimes associated with stratocumulus clouds. Inter-model spread in longwave cloud feedbacks in strongly precipitating regions of the tropics is substantially reduced in the ConvOff experiments however, indicating a considerable local contribution from differences in the details of convective parametrizations. In both standard and ConvOff experiments, models with less mid-level cloud and less moist static energy near the top of the boundary layer tend to have more positive tropical cloud feedbacks. The role of non-convective processes in contributing to inter-model spread in cloud feedback is discussed.

Original languageEnglish
Article number20140414
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume373
Issue number2054
DOIs
Publication statusPublished - 13 Nov 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Climate
  • Cloud
  • Convection
  • Feedback
  • Parametrization

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