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An Assessment of Climate Feedbacks in Coupled Ocean–Atmosphere Models
Abstract
The climate feedbacks in coupled ocean–atmosphere models are compared using a coordinated set of twenty-first-century climate change experiments. Water vapor is found to provide the largest positive feedback in all models and its strength is consistent with that expected from constant relative humidity changes in the water vapor mixing ratio. The feedbacks from clouds and surface albedo are also found to be positive in all models, while the only stabilizing (negative) feedback comes from the temperature response. Large intermodel differences in the lapse rate feedback are observed and shown to be associated with differing regional patterns of surface warming. Consistent with previous studies, it is found that the vertical changes in temperature and water vapor are tightly coupled in all models and, importantly, demonstrate that intermodel differences in the sum of lapse rate and water vapor feedbacks are small. In contrast, intermodel differences in cloud feedback are found to provide the largest source of uncertainty in current predictions of climate sensitivity.
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Cites
Radiative forcing of climate change
Haigh, J. D. (2002) · Weather · doi:10.1256/004316502320517362 · Cited by 1,404
Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models
Bony, S., & Dufresne, J. (2005) · Geophysical Research Letters · doi:10.1029/2005gl023851 · Cited by 1,302
Water Vapor Feedback and Global Warming
Held, I. M., & Soden, B. J. (2000) · Annual Review of Energy and the Environment · doi:10.1146/annurev.energy.25.1.441 · Cited by 1,266
Self-citationCess, R. D., Potter, G. L., Blanchet, J. P., Boer, G. J., Del Genio, A. D., Déqué, M., Dymnikov, V., Galin, V., Gates, W. L., Ghan, S. J., et al. (1990) · Journal of Geophysical Research: Atmospheres · doi:10.1029/jd095id10p16601 · Cited by 891
The New GFDL Global Atmosphere and Land Model AM2–LM2: Evaluation with Prescribed SST Simulations
(2004) · Journal of Climate · doi:10.1175/jcli-3223.1 · Cited by 854
Cloud Feedback Processes in a General Circulation Model
Wetherald, R. T., & Manabe, S. (1988) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(1988)045<1397:cfpiag>2.0.co;2 · Cited by 628
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., et al. (2006) · Climate Dynamics · doi:10.1007/s00382-006-0111-2 · Cited by 378
Self-citationA comparison of climate feedbacks in general circulation models
Colman, R. (2003) · Climate Dynamics · doi:10.1007/s00382-003-0310-z · Cited by 344
Amplification of Surface Temperature Trends and Variability in the Tropical Atmosphere
Santer, B. D., Wigley, T. M. L., Mears, C., Wentz, F. J., Klein, S. A., Seidel, D. J., Taylor, K. E., Thorne, P. W., Wehner, M. F., Gleckler, P. J., et al. (2005) · Science · doi:10.1126/science.1114867 · Cited by 331
Cloud feedback in atmospheric general circulation models: An update
CESS, R. D., Zhang, M., Ingram, W., et al. (1996) · Journal of Geophysical Research Atmospheres · doi:10.1029/96jd00822 · Cited by 314
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Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50171 · Cited by 6,385
Robust Responses of the Hydrological Cycle to Global Warming
Held, I. M., & Soden, B. J. (2006) · Journal of Climate · doi:10.1175/jcli3990.1 · Cited by 4,959
Self-citationChallenges in combining projections from multiple climate models.
Knutti, R., Furrer, R., Tebaldi, C., Cermak, J., & Meehl, G. A. (2010) · Journal of Climate · doi:10.1175/2009jcli3361.1 · Cited by 1,270
An Assessment of Earth's Climate Sensitivity Using Multiple Lines of Evidence
Sherwood, S. C., Webb, M. J., Annan, J. D., Armour, K. C., Forster, P. M., Hargreaves, J. C., Hegerl, G., Klein, S. A., Marvel, K. D., Rohling, E. J., et al. (2020) · Reviews of Geophysics · doi:10.1029/2019rg000678 · Cited by 1,254
Spread in model climate sensitivity traced to atmospheric convective mixing
Sherwood, S. C., Bony, S., & Dufresne, J.-L. (2014) · Nature · doi:10.1038/nature12829 · Cited by 762
The equilibrium sensitivity of the Earth's temperature to radiation changes
Knutti, R., & Hegerl, G. C. (2008) · Nature Geoscience · doi:10.1038/ngeo337 · Cited by 490
Hardwick Jones, R., Westra, S., & Sharma, A. (2010) · Geophysical Research Letters · doi:10.1029/2010gl045081 · Cited by 431
Increase in extreme precipitation events under anthropogenic warming in India
Mukherjee, S., Aadhar, S., Stone, D., & Mishra, V. (2018) · Weather and Climate Extremes · doi:10.1016/j.wace.2018.03.005 · Cited by 435
Coupled ocean-atmosphere interaction at oceanic mesoscales.
Chelton, D., & Xie, S.-P. (2010) · Oceanography · doi:10.5670/oceanog.2010.05 · Cited by 416
Geoffroy, O., Saint-Martin, D., Olivié, D. J. L., Voldoire, A., Bellon, G., & Tytéca, S. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00195.1 · Cited by 381
Schneider, T., Lan, S., Stuart, A., & Teixeira, J. (2017) · Geophysical Research Letters · doi:10.1002/2017gl076101 · Cited by 391
The role of cloud phase in Earth's radiation budget
Matus, A. V., & L'Ecuyer, T. S. (2017) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2016jd025951 · Cited by 359
How reliable are climate models?
Räisänen, J. (2007) · Tellus A: Dynamic Meteorology and Oceanography · doi:10.3402/tellusa.v59i1.14859 · Cited by 356
Feedbacks of Terrestrial Ecosystems to Climate Change
Field, C. B., Lobell, D. B., Peters, H. A., & Chiariello, N. R. (2007) · Annual Review of Environment and Resources · doi:10.1146/annurev.energy.32.053006.141119 · Cited by 317
Murphy, J. M., Booth, B. B. B., Collins, M., Harris, G. R., Sexton, D. M. H., & Webb, M. J. (2007) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2007.2077 · Cited by 316
Zelinka, M. D., Klein, S. A., & Hartmann, D. L. (2012) · Journal of Climate · doi:10.1175/jcli-d-11-00249.1 · Cited by 287
Climate Sensitivity of the Community Climate System Model, Version 4
Bitz, C. M., Shell, K. M., Gent, P. R., Bailey, D. A., Danabasoglu, G., Armour, K. C., Holland, M. M., & Kiehl, J. T. (2012) · Journal of Climate · doi:10.1175/jcli-d-11-00290.1 · Cited by 265
Low simulated radiation limit for runaway greenhouse climates
Goldblatt, C., Robinson, T. D., Zahnle, K. J., & Crisp, D. (2013) · Nature Geoscience · doi:10.1038/ngeo1892 · Cited by 183
Global warming due to increasing absorbed solar radiation
Trenberth, K. E., & Fasullo, J. T. (2009) · Geophysical Research Letters · doi:10.1029/2009gl037527 · Cited by 182
Geobiological constraints on Earth system sensitivity to CO2 during the Cretaceous and Cenozoic
ROYER, D. L., PAGANI, M., & BEERLING, D. J. (2012) · Geobiology · doi:10.1111/j.1472-4669.2012.00320.x · Cited by 95
Extreme precipitation response to climate perturbations in an atmospheric mesoscale model
Attema, J. J., Loriaux, J. M., & Lenderink, G. (2014) · Environmental Research Letters · doi:10.1088/1748-9326/9/1/014003 · Cited by 75
Impacts of stratospheric sulfate geoengineering on tropospheric ozone
Xia, L., Nowack, P. J., Tilmes, S., & Robock, A. (2017) · Atmospheric Chemistry and Physics · doi:10.5194/acp-17-11913-2017 · Cited by 72
Metadata
- Authors
- Soden, B. J., & Held, I. M.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2006-07-15
- Volume
- 19
- Issue
- 14
- Pages
- 3354-3360
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2035221792
- Cited by
- 1,082
- References
- 18
- FWCI
- 44.72
- Type
- journal article
- Language
- en
- Open access
- closed
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