The relationship between interannual and long-term cloud feedbacks

Geophysical Research Letters

Volumn 42, Issue 23, 2015, Pages 10463-10469

  Zhou, Chen ^a,b   Zelinka, Mark D ^a   Dessler, Andrew E ^b   Klein, Stephen A ^a  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

climate change and variability; cloud feedback; low cloud cover

Indexed keywords

CLIMATE CHANGE; FEEDBACK; GLOBAL WARMING; SURFACE WATERS;

CLIMATE FLUCTUATIONS; CLOUD FEEDBACKS; COUPLED MODEL INTERCOMPARISON PROJECT; GLOBAL SURFACE WARMING; LOW CLOUD COVER; SEA SURFACES; SURFACE WARMING; VERTICAL PROFILE;

CLIMATE MODELS;

CLIMATE CHANGE; CLIMATE MODELING; CLIMATE VARIATION; CLOUD COVER; COMPUTER SIMULATION; GLOBAL WARMING;

EID: 84953637951     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2015GL066698     Document Type: Article

References (31)

1. Andrews, T., J. M. Gregory, and, M. J. Webb, (2015), The dependence of radiative forcing and feedback on evolving patterns of surface temperature change in climate models, J. Clim., 28, 1630-1648, doi: 10.1175/JCLI-D-14-00545.1.
2. Bony, S., and, J. L. Dufresne, (2005), Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models, Geophys. Res. Lett., 32, L20806, doi: 10.1029/2005GL023851.
3. Bretherton, C. S., P. N. Blossey, and, C. R. Jones, (2013), Mechanisms of marine low cloud sensitivity to idealized climate perturbations: A single-LES exploration extending the CGILS cases, J. Adv. Model. Earth Syst., 5, 316-337, doi: 10.1002/jame.20019.
4. Caldwell, P. M., C. S. Bretherton, M. D. Zelinka, S. A. Klein, B. D. Santer, and, B. M. Sanderson, (2014), Statistical significance of climate sensitivity predictors obtained by data mining, Geophys. Res. Lett., 41, 1803-1808, doi: 10.1002/2014GL059205.
5. Colman, R. A., and, S. B. Power, (2010), Atmospheric radiative feedbacks associated with transient climate change and climate variability, Clim. Dyn., 34, 919-933, doi: 10.1007/s00382-009-0541-8.
6. Dalton, M. M., and, K. M. Shell, (2013), Comparison of short-term and long-term radiative feedbacks and variability in 20th century global climate model simulations, J. Clim., 26, 10,051-10,070, doi: 10.1175/JCLI-D-12-00564.1.
7. Dessler, A. E., (2010), A determination of the cloud feedback from climate variations over the past decade, Science, 330, 1523-1527, doi: 10.1126/science.1192546.
8. Dessler, A. E., (2013), Observations of climate feedbacks over 2000-2010 and comparisons to climate models, J. Clim., 26, 333-342, doi: 10.1175/JCLI-D-11-00640.1.
9. Dufresne, J. L., and, S. Bony, (2008), An assessment of the primary sources of spread of global warming estimates from coupled atmosphere-ocean models, J. Clim., 21, 5135-5144, doi: 10.1175/2008JCLI2239.1.
10. Huang, Y., (2013), On the longwave climate feedbacks, J. Clim., 26, 7603-7610, doi: 10.1175/JCLI-D-13-00025.1.
11. Klein, S. A., and, D. L. Hartmann, (1993), The seasonal cycle of low stratiform clouds, J. Clim., 6, 1587-1606, doi: 10.1175/1520-0442(1993)006<1587:TSCOLS>2.0.CO;2.
12. Klein, S. A., and, C. Jakob, (1999), Validation and sensitivities of frontal clouds simulated by the ECMWF model, Mon. Weather Rev., 127, 2514-2531, doi: 10.1175/1520-0493(1999)127<2514:VASOFC>2.0.CO;2.
13. Mansbach, D. K., and, J. R. Norris, (2007), Low-level cloud variability over the equatorial cold tongue in observations and models, J. Clim., 20, 1555-1570, doi: 10.1175/JCLI4073.1.
14. Myers, T. A., and, J. R. Norris, (2015), On the relationships between subtropical clouds and meteorology in observations and CMIP3 and CMIP5 models, J. Clim., 28, 2945-2967, doi: 10.1175/JCLI-D-14-00475.1.
15. Noda, A. T., and, M. Satoh, (2014), Intermodel variances of subtropical stratocumulus environments simulated in CMIP5 models, Geophys. Res. Lett., 41, 7754-7761, doi: 10.1002/2014GL061812.
16. Qu, X., A. Hall, S. A. Klein, and, P. M. Caldwell, (2014), On the spread of changes in marine low cloud cover in climate model simulations of the 21st century, Clim. Dyn., 42, 2603-2626, doi: 10.1007/s00382-013-1945-z.
17. Qu, X., A. Hall, S. A. Klein, and, A. M. DeAngelis, (2015), Positive tropical marine low-cloud cover feedback inferred from cloud-controlling factors, Geophys. Res. Lett., 42, 7767-7775, doi: 10.1002/2015GL065627.
18. Shell, K. M., J. T. Kiehl, and, C. A. Shields, (2008), Using the radiative kernel technique to calculate climate feedbacks in NCAR's community atmospheric model, J. Clim., 21, 2269-2282, doi: 10.1175/2007JCLI2044.1.
19. Sherwood, S. C., S. Bony, and, J. Dufresne, (2014), Spread in model climate sensitivity traced to atmospheric convective mixing, Nature, 505, 37-42, doi: 10.1038/nature12829.
20. Soden, B. J., and, G. A. Vecchi, (2011), The vertical distribution of cloud feedback in coupled ocean-atmosphere models, Geophys. Res. Lett., 38, L12704, doi: 10.1029/2011GL047632.
21. Soden, B. J., I. M. Held, R. Colman, K. M. Shell, J. T. Kiehl, and, C. A. Shields, (2008), Quantifying climate feedbacks using radiative kernels, J. Clim., 21, 3504-3520, doi: 10.1175/2007JCLI2110.1.
22. Su, H., J. H. Jiang, C. Zhai, T. J. Shen, J. D. Neelin, G. L. Stephens, and, Y. L. Yung, (2014), Weakening and strengthening structures in the Hadley Circulation change under global warming and implications for cloud response and climate sensitivity, J. Geophys. Res. Atmos., 119, 5787-5805, doi: 10.1002/2014JD021642.
23. Taylor, K. E., R. J. Stouffer, and, G. A. Meehl, (2012), An overview of CMIP5 and the experiment design, Bull. Am. Meteorol. Soc., 93, 485-498, doi: 10.1175/BAMS-D-11-00094.1.
24. Webb, M., C. Senior, S. Bony, and, J. J. Morcrette, (2001), Combining ERBE and ISCCP data to assess clouds in the Hadley Centre, ECMWF and LMD atmospheric climate models, Clim. Dyn., 17, 905-922, doi: 10.1007/s003820100157.
25. Webb, M. J., et al., (2006), On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles, Clim. Dyn., 27, 17-38, doi: 10.1007/s00382-006-0111-2.
26. Wood, R., and, C. S. Bretherton, (2006), On the relationship between stratiform low cloud cover and lower-tropospheric stability, J. Clim., 19, 6425-6432, doi: 10.1175/JCLI3988.1.
27. Zelinka, M. D., S. A. Klein, and, D. L. Hartmann, (2012), Computing and partitioning cloud feedbacks using cloud property histograms. Part I: Cloud radiative kernels, J. Clim., 25, 3715-3735, doi: 10.1175/JCLI-D-11-00248.1.1.
28. Zelinka, M. D., S. A. Klein, K. E. Taylor, T. Andrews, M. J. Webb, J. M. Gregory, and, P. M. Forster, (2013), Contributions of different cloud types to feedbacks and rapid adjustments in CMIP5, J. Clim., 26, 5007-5027, doi: 10.1175/JCLI-D-12-00555.1.
29. Zhai, C., J. H. Jiang, and, H. Su, (2015), Long-term cloud change imprinted in seasonal cloud variation: More evidence of high climate sensitivity, Geophys. Res. Lett., 42, 8729-8737, doi: 10.1002/2015GL065911.
30. Zhou, C., M. D. Zelinka, A. E. Dessler, and, P. Yang, (2013), An analysis of the short-term cloud feedback using MODIS data, J. Clim., 26, 4803-4815, doi: 10.1175/JCLI-D-12-00547.1.
31. Zhou, C., A. E. Dessler, M. D. Zelinka, P. Yang, and, T. Wang, (2014), Cirrus feedback on interannual climate fluctuations, Geophys. Res. Lett., 41, 9166-9173, doi: 10.1002/2014GL062095.