On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles
dc.contributor.author | Bony, S. | en_US |
dc.contributor.author | Musat, I. | en_US |
dc.contributor.author | Li, B. | en_US |
dc.contributor.author | Webb, M. J. | en_US |
dc.contributor.author | Senior, C. A. | en_US |
dc.contributor.author | Sexton, D. M. H. | en_US |
dc.contributor.author | Ingram, W. J. | en_US |
dc.contributor.author | Williams, K. D. | en_US |
dc.contributor.author | Ringer, M. A. | en_US |
dc.contributor.author | McAvaney, B. J. | en_US |
dc.contributor.author | Colman, R. | en_US |
dc.contributor.author | Soden, B. J. | en_US |
dc.contributor.author | Gudgel, R. | en_US |
dc.contributor.author | Knutson, T. | en_US |
dc.contributor.author | Emori, S. | en_US |
dc.contributor.author | Ogura, T. | en_US |
dc.contributor.author | Tsushima, Yoko | en_US |
dc.contributor.author | Andronova, Natalia | en_US |
dc.contributor.author | Taylor, K. E. | en_US |
dc.date.accessioned | 2006-09-11T16:33:34Z | |
dc.date.available | 2006-09-11T16:33:34Z | |
dc.date.issued | 2006-02-04 | en_US |
dc.identifier.citation | Webb, M. J.; Senior, C. A.; Sexton, D. M. H.; Ingram, W. J.; Williams, K. D.; Ringer, M. A.; McAvaney, B. J.; Colman, R.; Soden, B. J.; Gudgel, R.; Knutson, T.; Emori, S.; Ogura, T.; Tsushima, Y.; Andronova, N.; Li, B.; Musat, I.; Bony, S.; Taylor, K. E.; (2006). "On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles." Climate Dynamics (): 1-22. <http://hdl.handle.net/2027.42/45863> | en_US |
dc.identifier.issn | 0930-7575 | en_US |
dc.identifier.issn | 1432-0894 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45863 | |
dc.description.abstract | Global and local feedback analysis techniques have been applied to two ensembles of mixed layer equilibrium CO 2 doubling climate change experiments, from the CFMIP (Cloud Feedback Model Intercomparison Project) and QUMP (Quantifying Uncertainty in Model Predictions) projects. Neither of these new ensembles shows evidence of a statistically significant change in the ensemble mean or variance in global mean climate sensitivity when compared with the results from the mixed layer models quoted in the Third Assessment Report of the IPCC. Global mean feedback analysis of these two ensembles confirms the large contribution made by inter-model differences in cloud feedbacks to those in climate sensitivity in earlier studies; net cloud feedbacks are responsible for 66% of the inter-model variance in the total feedback in the CFMIP ensemble and 85% in the QUMP ensemble. The ensemble mean global feedback components are all statistically indistinguishable between the two ensembles, except for the clear-sky shortwave feedback which is stronger in the CFMIP ensemble. While ensemble variances of the shortwave cloud feedback and both clear-sky feedback terms are larger in CFMIP, there is considerable overlap in the cloud feedback ranges; QUMP spans 80% or more of the CFMIP ranges in longwave and shortwave cloud feedback. We introduce a local cloud feedback classification system which distinguishes different types of cloud feedbacks on the basis of the relative strengths of their longwave and shortwave components, and interpret these in terms of responses of different cloud types diagnosed by the International Satellite Cloud Climatology Project simulator. In the CFMIP ensemble, areas where low-top cloud changes constitute the largest cloud response are responsible for 59% of the contribution from cloud feedback to the variance in the total feedback. A similar figure is found for the QUMP ensemble. Areas of positive low cloud feedback (associated with reductions in low level cloud amount) contribute most to this figure in the CFMIP ensemble, while areas of negative cloud feedback (associated with increases in low level cloud amount and optical thickness) contribute most in QUMP. Classes associated with high-top cloud feedbacks are responsible for 33 and 20% of the cloud feedback contribution in CFMIP and QUMP, respectively, while classes where no particular cloud type stands out are responsible for 8 and 21%. | en_US |
dc.format.extent | 2050639 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag | en_US |
dc.title | On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Atmospheric, Oceanic and Space Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI, USA, | en_US |
dc.contributor.affiliationother | Hadley Centre for Climate Prediction and Research, Met Office, FitzRoy Road, Exeter, EX1 3PB, UK, | en_US |
dc.contributor.affiliationother | Hadley Centre for Climate Prediction and Research, Met Office, FitzRoy Road, Exeter, EX1 3PB, UK, | en_US |
dc.contributor.affiliationother | Bureau of Meteorology Research Centre (BMRC), Melbourne, Australia, | en_US |
dc.contributor.affiliationother | Hadley Centre for Climate Prediction and Research, Met Office, FitzRoy Road, Exeter, EX1 3PB, UK, | en_US |
dc.contributor.affiliationother | Hadley Centre for Climate Prediction and Research, Met Office, FitzRoy Road, Exeter, EX1 3PB, UK, | en_US |
dc.contributor.affiliationother | Hadley Centre for Climate Prediction and Research, Met Office, FitzRoy Road, Exeter, EX1 3PB, UK, | en_US |
dc.contributor.affiliationother | Frontier Research Center for Global Change (FRCGC), Japan Agency for Marine–Earth Science and Technology, Kanagawa, Japan, | en_US |
dc.contributor.affiliationother | Geophysical Fluid Dynamics Laboratory (GFDL), Princeton, NJ, USA, | en_US |
dc.contributor.affiliationother | National Institute for Environmental Studies (NIES), Tsukuba, Japan, | en_US |
dc.contributor.affiliationother | National Institute for Environmental Studies (NIES), Tsukuba, Japan, | en_US |
dc.contributor.affiliationother | Geophysical Fluid Dynamics Laboratory (GFDL), Princeton, NJ, USA, | en_US |
dc.contributor.affiliationother | Rosenstiel School for Marine and Atmospheric Science, University of Miami, Miami, FL, USA, | en_US |
dc.contributor.affiliationother | Bureau of Meteorology Research Centre (BMRC), Melbourne, Australia, | en_US |
dc.contributor.affiliationother | Hadley Centre for Climate Prediction and Research, Met Office, FitzRoy Road, Exeter, EX1 3PB, UK, | en_US |
dc.contributor.affiliationother | Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign (UIUC), Urbana, IL, USA, | en_US |
dc.contributor.affiliationother | Institut Pierre Simon Laplace (IPSL), Paris, France, | en_US |
dc.contributor.affiliationother | Institut Pierre Simon Laplace (IPSL), Paris, France, | en_US |
dc.contributor.affiliationother | Program for Climate Model Diagnosis and Intercomparison (PCMDI), Livermore, CA, USA, | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45863/1/382_2006_Article_111.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/s00382-006-0111-2 | en_US |
dc.identifier.source | Climate Dynamics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.