On the influence of poleward jet shift on shortwave cloud feedback in global climate models

Journal of Advances in Modeling Earth Systems

Volumn 7, Issue 4, 2015, Pages 2044-2059

  Wall, Casey J ^a   Hartmann, Dennis L ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

cloud feedbacks

Indexed keywords

FEEDBACK;

ATMOSPHERIC WARMING; CLOUD FEEDBACKS; CLOUD MICROPHYSICS; FREEZING TEMPERATURES; GLOBAL CLIMATE MODEL; HIGH LATITUDES; SHALLOW CONVECTION; THERMODYNAMIC MECHANISM;

CLIMATE MODELS;

CLOUD COVER; CLOUD MICROPHYSICS; CONDENSATE; CONVECTION; FREEZING; GLOBAL CLIMATE; JET; SURFACE TEMPERATURE; THERMODYNAMICS; WARMING;

EID: 84959563799     PISSN: None     EISSN: 19422466     Source Type: Journal    
DOI: 10.1002/2015MS000520     Document Type: Article

References (57)

1. Anderson, J. L., et al., (2004), The new GFDL global atmosphere and land model AM2-LM2: Evaluation with prescribed SST simulations, J. Clim., 17, 4641-4673, doi: 10.1175/JCLI-3223.1.
2. Barnes, E. A., and, L. Polvani, (2013), Response of the midlatitude jets, and of their variability, to increased greenhouse Gases in the CMIP5 Models, J. Clim., 26 (18), 7117-7135, doi: 10.1175/JCLI-D-12-00536.1.
3. Bender, F. A. M., V. Ramanathan, and, G. Tselioudis, (2012), Changes in extratropical storm track cloudiness 1983-2008: Observational support for a poleward shift, Clim. Dyn., 38 (9-10), 2037-2053, doi: 10.1007/s00382-011-1065-6.
4. Betts, A. K., and, Harshvardhan, (1987), Thermodynamic constraint on the cloud liquid water feedback in climate models, J. Geophys. Res., 92, 8483-8485.
5. Blackburn, M., and, B. J. Hoskins, (2013), Context and aims of the aqua-planet experiment, J. Meteorol. Soc. Jpn., 91A, 1-15, doi: 10.2151/jmsj.2013-A01.
6. 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.
7. Bony, S., J.-L. Dufresne, H. Le Treut, J.-J. Morcrette, and, C. Senior, (2004), On dynamic and thermodynamic components of cloud changes, Clim. Dyn., 22 (2-3), 71-86, doi: 10.1007/s00382-003-0369-6.
8. Bony, S., et al., (2015), Clouds, circulation and climate sensitivity, Nat. Geosci., 8 (4), 261-268, doi: 10.1038/ngeo2398.
9. Boucher, O., et al., (2013), Clouds and aerosols, in Climate Change 2013: The Physical Science Basis, Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by, T. F. Stocker, et al., pp. 578-595, Cambridge Univ. Press, Cambridge, U. K.
10. Bretherton, C. S., and, S. Park, (2009), A new moist turbulence parameterization in the community atmosphere model, J. Clim., 22, 3422-3448, doi: 10.1175/2008JCLI2556.1.
11. Bretherton, C. S., M. Widmann, V. P. Dymnikov, J. M. Wallace, and, I. Blade, (1999), Effective number of degrees of freedom of a spatial field, J. Clim., 12 (1969), 1990-2009, doi: 10.1175/1520-0442(1999)012<1990:Tenosd>2.0.Co;2.
12. 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.
13. Brient, F., and, S. Bony, (2012), Interpretation of the positive low-cloud feedback predicted by a climate model under global warming, Clim. Dyn., 40 (9-10), 2415-2431, doi: 10.1007/s00382-011-1279-7.
14. Ceppi, P., and, D. L. Hartmann, (2015), Connections between clouds, radiation, and midlatitude dynamics: A review, Curr. Clim. Change Rep., 1 (2), 94-102, doi: 10.1007/s40641-015-0010-x.
15. Ceppi, P., Y.-T. Hwang, D. M. W. Frierson, and, D. L. Hartmann, (2012), Southern Hemisphere jet latitude biases in CMIP5 models linked to shortwave cloud forcing, Geophys. Res. Lett., 39, L19708, doi: 10.1029/2012GL053115.
16. Ceppi, P., M. D. Zelinka, and, D. L. Hartmann, (2014), The response of the Southern Hemispheric eddy-driven jet to future changes in shortwave radiation in CMIP5, Geophys. Res. Lett., 41, 3244-3250, doi: 10.1002/2014GL060043.
17. Ceppi, P., D. Hartmann, and, M. Webb, (2015), Mechanisms of the negative shortwave cloud feedback in high latitudes, J. Clim., doi: 10.1175/JCLI-D-15-0327.1, in press.
18. Cess, R., et al., (1990), Intercomparison and interpretation of cloud-climate feedback processes in nineteen atmospheric general circulation models, J. Geophys. Res., 95, 16,601-16, 615.
19. Colman, R., (2003), A comparison of climate feedbacks in general circulation models, Clim. Dyn., 20, 865-873.
20. Dee, D. P., et al., (2011), The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. R. Meteorol. Soc., 137, 553-597, doi: 10.1002/qj.828.
21. Fitzpatrick, M. F., and, S. G. Warren, (2007), The relative importance of clouds and sea ice for the solar energy budget of the Southern Ocean, J. Clim., 20 (6), 941-954, doi: 10.1175/JCLI4040.1.
22. Gettelman, A., X. Liu, S. J. Ghan, H. Morrison, S. Park, A. J. Conley, S. A. Klein, J. Boyle, D. L. Mitchell, and, J.-L. F. Li, (2010), Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model, J. Geophys. Res., 115, D18216, doi: 10.1029/2009JD013797.
23. Gettelman, A., J. E. Kay, and, K. M. Shell, (2012), The evolution of climate sensitivity and climate feedbacks in the community atmosphere model, J. Clim., 25 (5), 1453-1469, doi: 10.1175/JCLI-D-11-00197.1.
24. Gordon, N. D., and, S. A. Klein, (2014), Low-cloud optical depth feedback in climate models, J. Geophys. Res. Atmos., 119, 6052-6065, doi: 10.1002/2013JD021052.
25. Grise, K. M., and, L. M. Polvani, (2014), Southern Hemisphere cloud-dynamics biases in CMIP5 models and their implications for climate projections, J. Clim., 27 (15), 6074-6092, doi: 10.1175/JCLI-D-14-00113.1.
26. Grise, K. M., L. M. Polvani, G. Tselioudis, Y. Wu, and, M. D. Zelinka, (2013), The ozone hole indirect effect: Cloud-radiative anomalies accompanying the poleward shift of the eddy-driven jet in the Southern Hemisphere, Geophys. Res. Lett., 40, 3688-3692, doi: 10.1002/grl.50675.
27. Haynes, J. M., C. Jakob, W. B. Rossow, G. Tselioudis, and, J. Brown, (2011), Major characteristics of southern ocean cloud regimes and their effects on the energy budget, J. Clim., 24 (19), 5061-5080, doi: 10.1175/2011JCLI4052.1.
28. Held, I. M., and, B. J. Soden, (2006), Robust responses of the hydrological cycle to global warming, J. Clim., 19 (21), 5686-5699, doi: 10.1175/JCLI3990.1.
29. Hwang, Y.-T., and, D. M. W. Frierson, (2013), Link between the double-Intertropical Convergence Zone problem and cloud biases over the Southern Ocean, Proc. Natl. Acad. Sci. U. S. A., 110 (13), 4935-4940, doi: 10.1073/pnas.1213302110.
30. Kay, J. E., B. Medeiros, Y. T. Hwang, A. Gettelman, J. Perket, and, M. G. Flanner, (2014), Processes controlling Southern Ocean shortwave climate feedbacks in CESM, Geophys. Res. Lett., 5, 616-622, doi: 10.1002/2013GL058315.
31. Li, Y., D. W. J. Thompson, G. L. Stephens, and, S. Bony, (2014), A global survey of the instantaneous linkages between cloud vertical structure and large-scale climate, J. Geophys. Res. Atmos., 119, 3770-3792, doi: 10.1002/2013JD020669.
32. Liu, Y., J. R. Key, Z. Liu, and, X. Wang, and, S. J. Vavrus, (2012), A cloudier Arctic expected with diminishing sea ice, Geophys. Res. Lett., 39, L05705, doi: 10.1029/2012GL051251.
33. Loeb, N. G., S. Kato, W. Su, T. Wong, F. G. Rose, D, R. Doelling, J, R. Norris, and, X. Huang, (2012), Advances in understanding top-of-atmosphere radiation variability from satellite observations, Surv. Geophys., 33, 359-385, doi: 10.1007/s10712-012-9175-1.
34. McCoy, D. T., D. L. Hartmann, and, D. P. Grosvenor, (2014), Observed Southern Ocean cloud properties and shortwave reflection Part 2: Phase changes and low cloud feedback, J. Clim., 27, 8858-8868, doi: 10.1175/JCLI-D-14-00288.1.
35. McCoy, D. T., D. L. Hartmann, M. D. Zelinka, P. Ceppi, and, D. P. Grosvenor, (2015), Mixed-phase cloud physics and Southern Ocean cloud feedback in climate models, J. Geophys. Res. Atmos., 120, 9539-9554, doi: 10.1002/2015JD023603.
36. Medeiros, B., B. Stevens, I. M. Held, M. Zhao, D. L. Williamson, J. G. Olson, and, C. S. Bretherton, (2008), Aquaplanets, climate sensitivity, and low clouds, J. Clim., 21, 4974-4991, doi: 10.1175/2008JCLI1995.1.
37. Medeiros, B., B. Stevens, and, S. Bony, (2014), Using aquaplanets to understand the robust responses of comprehensive climate models to forcing, Clim. Dyn., 1957-1977, doi: 10.1007/s00382-014-2138-0.
38. Morrison, H., and, A. Gettelman, (2008), A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model, Version 3 (CAM3). Part I: Description and numerical tests, J. Clim., 21 (15), 3642-3659, doi: 10.1175/2008JCLI2105.1.
39. Morrison, H., G. De Boer, G. Feingold, J. Harrington, M. D. Shupe, and, K. Sulia, (2011), Resilience of persistent Arctic mixed-phase clouds, Nat. Geosci., 5 (1), 11-17, doi: 10.1038/ngeo1332.
40. Neale, R. B., and, B. J. Hoskins, (2000), A standard test for AGCMs including their physical parametrizations: I: The proposal, Atmos. Sci. Lett., 1 (2), 101-107, doi: 10.1006/asle.2000.0019.
41. Neale, R. B., et al., (2010a), Description of the NCAR Community Atmosphere Model (CAM 5.0), NCAR Tech. Note NCAR/TN-486-STR, 268 pp. [Available at http://www.cesm.ucar.edu/models/cesm1.0/cam/docs/description/cam5-desc.pdf.]
42. Neale, R. B., et al., (2010b), Description of the NCAR Community Atmosphere Model (CAM 4.0), NCAR Tech. Note NCAR/TN-485-STR, 212 pp. [Available at http://www.cesm.ucar.edu/models/ccsm4.0/cam/docs/description/cam4-desc.pdf.]
43. Park, S., and, C. S. Bretherton, (2009), The University of Washington shallow convection and moist turbulence schemes and their impact on climate simulations with the community atmosphere model, J. Clim., 22 (12), 3449-3469, doi: 10.1175/2008JCLI2557.1.
44. Rotstayn, L. D., (1997), A physically based scheme for the treatment of stratiform clouds and precipitation in large-scale models. I: Description and evaluation of the microphysical processes, Q. J. R. Meteorol. Soc., 123 (541), 1227-1282, doi: 10.1002/qj.49712354106.
45. Rotstayn, L. D., B. F. Ryan, and, J. J. Katzfey, (2000), A scheme for calculation of the liquid fraction in mixed-phase stratiform clouds in large-scale models, Mon. Weather Rev., 128 (4), 1070-1088, doi: 10.1175/1520-0493(2000)128<1070:ASFCOT>2.0.CO;2.
46. Senior, C. A., and, J. F. B. Mitchell, (1993), Carbon dioxide and cli-mate: The impact of cloud parameterization, J. Clim., 6, 393-418.
47. Sherwood, S. C., S. Bony, and, J.-L. Dufresne, (2014), Spread in model climate sensitivity traced to atmospheric convective mixing, Nature, 505 (7481), 37-42, doi: 10.1038/nature12829.
48. Soden, B. J., A. J. Broccoli, and, R. S. Hemler, (2004), On the use of cloud forcing to estimate cloud feedback, J. Clim., 17, 3661-3665, doi: 10.1175/1520-0442(2004)017<3661:OTUOCF>2.0.CO;2.
49. 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 (14), 3504-3520, doi: 10.1175/2007JCLI2110.1.
50. Tao, L., Y. Hu, and, J. Liu, (2015), Anthropogenic forcing on the Hadley circulation in CMIP5 simulations, Clim. Dyn., doi: 10.1007/s00382-015-2772-1.
51. Taylor, K. E., R. J. Stouffer, and, G. A. Meehl, (2012), An overview of CMIP5 and the experiment design, Bull. Am. Meteorol. Soc., 93 (4), 485-498, doi: 10.1175/BAMS-D-11-00094.1.
52. Tselioudis, G., and, W. B. Rossow, (2006), Climate feedback implied by observed radiation and precipitation changes with midlatitude storm strength and frequency, Geophys. Res. Lett., 33, L02704, doi: 10.1029/2005GL024513.
53. Tsushima, Y., et al., (2006), Importance of the mixed-phase cloud distribution in the control climate for assessing the response of clouds to carbon dioxide increase: A multi-model study, Clim. Dyn., 27 (2-3), 113-126, doi: 10.1007/s00382-006-0127-7.
54. Vial, J., Dufresne, J. L., and, S. Bony, (2013), On the interpretation of inter-model spread in CMIP5 climate sensitivity estimates, Clim. Dyn., 41, 3339-3362, doi: 10.1007/s00382-013-1725-9.
55. Voigt, A., and, T. A. Shaw, (2015), Circulation response to warming shaped by radiative changes of clouds and water vapour, Nat. Geosci., 8, 102-106, doi: 10.1038/ngeo2345.
56. Zelinka, M. D., S. A. Klein, and, D. L. Hartmann, (2012a), Computing and partitioning cloud feedbacks using cloud property histograms. Part I: Cloud Radiative Kernels, J. Clim., 25 (11), 3715-3735, doi: 10.1175/JCLI-D-11-00248.1.
57. Zelinka, M. D., S. A. Klein, and, D. L. Hartmann, (2012b), Computing and partitioning cloud feedbacks using cloud property histograms. Part II: Attribution to changes in cloud amount, altitude, and optical depth, J. Clim., 25 (11), 3736-3754, doi: 10.1175/JCLI-D-11-00249.1.