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The impact of parametrized convection on cloud feedback

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...

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Autores principales: Webb, Mark J., Lock, Adrian P., Bretherton, Christopher S., Bony, Sandrine, Cole, Jason N. S., Idelkadi, Abderrahmane, Kang, Sarah M., Koshiro, Tsuyoshi, Kawai, Hideaki, Ogura, Tomoo, Roehrig, Romain, Shin, Yechul, Mauritsen, Thorsten, Sherwood, Steven C., Vial, Jessica, Watanabe, Masahiro, Woelfle, Matthew D., Zhao, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608036/
https://www.ncbi.nlm.nih.gov/pubmed/26438278
http://dx.doi.org/10.1098/rsta.2014.0414
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author Webb, Mark J.
Lock, Adrian P.
Bretherton, Christopher S.
Bony, Sandrine
Cole, Jason N. S.
Idelkadi, Abderrahmane
Kang, Sarah M.
Koshiro, Tsuyoshi
Kawai, Hideaki
Ogura, Tomoo
Roehrig, Romain
Shin, Yechul
Mauritsen, Thorsten
Sherwood, Steven C.
Vial, Jessica
Watanabe, Masahiro
Woelfle, Matthew D.
Zhao, Ming
author_facet Webb, Mark J.
Lock, Adrian P.
Bretherton, Christopher S.
Bony, Sandrine
Cole, Jason N. S.
Idelkadi, Abderrahmane
Kang, Sarah M.
Koshiro, Tsuyoshi
Kawai, Hideaki
Ogura, Tomoo
Roehrig, Romain
Shin, Yechul
Mauritsen, Thorsten
Sherwood, Steven C.
Vial, Jessica
Watanabe, Masahiro
Woelfle, Matthew D.
Zhao, Ming
author_sort Webb, Mark J.
collection PubMed
description 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.
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spelling pubmed-46080362015-11-13 The impact of parametrized convection on cloud feedback Webb, Mark J. Lock, Adrian P. Bretherton, Christopher S. Bony, Sandrine Cole, Jason N. S. Idelkadi, Abderrahmane Kang, Sarah M. Koshiro, Tsuyoshi Kawai, Hideaki Ogura, Tomoo Roehrig, Romain Shin, Yechul Mauritsen, Thorsten Sherwood, Steven C. Vial, Jessica Watanabe, Masahiro Woelfle, Matthew D. Zhao, Ming Philos Trans A Math Phys Eng Sci Articles 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. The Royal Society Publishing 2015-11-13 /pmc/articles/PMC4608036/ /pubmed/26438278 http://dx.doi.org/10.1098/rsta.2014.0414 Text en © 2015 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
Webb, Mark J.
Lock, Adrian P.
Bretherton, Christopher S.
Bony, Sandrine
Cole, Jason N. S.
Idelkadi, Abderrahmane
Kang, Sarah M.
Koshiro, Tsuyoshi
Kawai, Hideaki
Ogura, Tomoo
Roehrig, Romain
Shin, Yechul
Mauritsen, Thorsten
Sherwood, Steven C.
Vial, Jessica
Watanabe, Masahiro
Woelfle, Matthew D.
Zhao, Ming
The impact of parametrized convection on cloud feedback
title The impact of parametrized convection on cloud feedback
title_full The impact of parametrized convection on cloud feedback
title_fullStr The impact of parametrized convection on cloud feedback
title_full_unstemmed The impact of parametrized convection on cloud feedback
title_short The impact of parametrized convection on cloud feedback
title_sort impact of parametrized convection on cloud feedback
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4608036/
https://www.ncbi.nlm.nih.gov/pubmed/26438278
http://dx.doi.org/10.1098/rsta.2014.0414
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