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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2015
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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. |
format | Online Article Text |
id | pubmed-4608036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Royal Society Publishing |
record_format | MEDLINE/PubMed |
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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