Computing and partitioning cloud feedbacks using cloud property histograms. Part II: Attribution to changes in cloud amount, altitude, and optical depth

Journal of Climate

Volumn 25, Issue 11, 2012, Pages 3736-3754

  Zelinka, Mark D ^a,b   Klein, Stephen A ^b   Hartmann, Dennis L ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

Climate models; Climate sensitivity; Cloud forcing; Cloud radiative effects; Feedback; Model comparison

Indexed keywords

CLIMATE SENSITIVITY; CLOUD ALTITUDES; CLOUD AMOUNT; CLOUD FORCING; CLOUD FRACTION; CLOUD OPTICAL DEPTH; CLOUD PROPERTIES; CLOUD TOP PRESSURE; EXTRATROPICS; HIGH LATITUDES; INTERCOMPARISONS; LONG WAVES; MODEL COMPARISON; NEGATIVE VALUES; OPTICAL DEPTH; RADIATIVE EFFECTS; SHORT WAVES;

CARBON DIOXIDE; CLIMATE MODELS; GRAPHIC METHODS;

FEEDBACK;

ALTITUDE; ATMOSPHERIC MODELING; CLOUD RADIATIVE FORCING; COMPUTER SIMULATION; ENSEMBLE FORECASTING; HISTOGRAM; LONGWAVE RADIATION; NUMERICAL MODEL; OPTICAL DEPTH; SHORTWAVE RADIATION;

EID: 84856973124     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-11-00249.1     Document Type: Article

References (63)

1. Betts, A. K., and Harshvardan, 1987: Thermodynamic constraint on the cloud liquidwater feedback in climatemodels. J. Geophys. Res., 92D, 8483-8485.
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:10.1029/2005GL 023851.
3. Bony, S., J.-L. Dufresne, H. Le Treut, J.-J. Morcrette, and C. Senior, 2004: On dynamic and thermodynamic components of cloud changes. Climate Dyn., 22, 71-68.
4. Bony, S., and Coauthors, 2006: How well do we understand and evaluate climate change feedback processes? J. Climate, 19, 3445-3482.
5. Cess, R. D., 1974: Radiative transfer due to atmospheric water vapor: Global considerations of the earth's energy balance. J. Quant. Spectrosc. Radiat. Transfer, 14, 861-871.
6. Cess, R. D., 1975: Global climate change:An investigation of atmospheric feedback mechanisms. Tellus, 27, 193-198.
7. Cess, R. D., and Coauthors, 1989: Interpretation of cloud-climate feedback as produced by 14 atmospheric general circulation models. Science, 245, 513-516.
8. Cess, R. D., and Coauthors, 1990: Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models. J. Geophys. Res., 95 (D10), 16 601-16 615.
9. Chang, F.-L., and J. A. Coakley, 2007: Relationships between marine stratus cloud optical depth and temperature: Inferences from AVHRR observations. J. Climate, 20, 2022-2036.
10. Colman, R., 2003: A comparison of climate feedbacks in general circulation models. Climate Dyn., 20, 865-873.
11. Colman, R., and B. McAvaney, 1997:Astudy of general circulation model climate feedbacks determined from perturbed sea surface temperature experiments. J. Geophys. Res., 102D, 19 383-19 402.
12. Colman, R., J. Fraser, and L. Rotstayn, 2001: Climate feedbacks in a general circulation model incorporating prognostic clouds. Climate Dyn., 18, 103-122.
13. Feigelson, E. M., 1978: Preliminary radiation model of a cloudy atmosphere. Part I: Structure of clouds and solar radiation. Beitr. Phys. Atmos., 51, 203-229.
14. Hall, N. M. J., B. J. Hoskins, P. J. Valdes, and C. A. Senior, 1994: Storm tracks in a high-resolution GCM with doubled carbon dioxide. Quart. J. Roy. Meteor. Soc., 120, 1209-1230.
15. Hansen, J., A. Lacis, D. Rind, G. Russell, P. Stone, I. Fung, R. Ruedy, and J. Lerner, 1984: Climate sensitivity: Analysis of feedback mechanisms. Climate Processes and Climate Sensitivity, Geophys.Monogr., Vol. 29, Amer. Geophys. Union, 130-163.
16. Harrop, B. E., and D. L. Hartmann, 2012: Testing the role of radiation in determining tropical cloud-top temperature. J. Climate, in press.
17. Hartmann, D. L., and K. Larson, 2002: An important constraint on tropical cloud - climate feedback. Geophys. Res. Lett., 29, 1951, doi:10.1029/2002GL015835.
18. Klein, S. A., and C. Jakob, 1999: Validation and sensitivities of frontal clouds simulated by the ECMWF model. Mon. Wea. Rev., 127, 2514-2531.
19. Kuang, Z., and D. L. Hartmann, 2007: Testing the fixed anvil temperature hypothesis in a cloud-resolving model. J. Climate, 20, 2051-2057.
20. Kushner, P. J., I. M. Held, and T. L. Delworth, 2001: Southern Hemisphere atmospheric circulation response to global warming. J. Climate, 14, 2238-2249.
21. Lacis, A., J. Hansen, P. Lee, T. Mitchell, and S. Lebedeff, 1981: Greenhouse effect of trace gases, 1970-1980. Geophys. Res. Lett., 8, 1035-1038.
22. Lin, W. Y., and M. H. Zhang, 2004: Evaluation of clouds and their radiative effects simulated by the NCAR Community Atmospheric Model against satellite observations. J. Climate, 17, 3302-3318.
23. Lorenz, D. J., and E. T. DeWeaver, 2007: Tropopause height and zonal wind response to global warming in the IPCC scenario integrations. J. Geophys. Res., 112, D10119, doi:10.1029/2006 JD008087.
24. Mace, G. G., E. E. Clothiaux, and T. P. Ackerman, 2001: The composite characteristics of cirrus clouds: Bulk properties revealed by one year of continuous cloud radar data. J. Climate, 14, 2185-2203.
25. Meehl, G. A., and Coauthors, 2007: Global climate projections. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds., Cambridge University Press, 747-846.
26. 2 and climate: A missing feedback? Nature, 341, 132-134.
27. Paltridge, G.W., 1980: Cloud-radiation feedback to climate. Quart. J. Roy. Meteor. Soc., 106, 895-899.
28. Ringer, M. A., and Coauthors, 2006: Global mean cloud feedbacks in idealized climate change experiments. Geophys. Res. Lett., 33, L07718, doi:10.1029/2005GL025370.
29. Roeckner, E., U. Schlese, J. Biercamp, and P. Liewe, 1987: Cloud optical depth feedback and climate modeling. Nature, 329, 138-139.
30. Santer, B. D., and Coauthors, 2003: Contributions of anthropogenic and natural forcing to recent tropopause height changes. Science, 301, 479-483.
31. Schlesinger, M. E., 1988: Negative or positive cloud optical depth feedback? Nature, 335, 303-304.
32. Schneider, S. H., 1972: Cloudiness as a global climatic feedback mechanism: The effects on radiation balance and surface temperature of variations in cloudiness. J. Atmos. Sci., 29, 1413-1422.
33. Schneider, S. H., and R. E. Dickinson, 1974: Climate modeling. Rev. Geophys., 12, 447-493.
34. Schneider, S. H., W. M. Washington, and R. M. Chervin, 1978: Cloudiness as a climatic feedback mechanism: Effects on cloud amounts of prescribed global and regional surface temperature changes in the NCAR GCM. J. Atmos. Sci., 35, 2207-2221.
35. Senior, C. A., and J. F. B. Mitchell, 1993: Carbon dioxide and climate: The impact of cloud parameterization. J. Climate, 6, 393-418.
36. Soden, B. J., and I. M. Held, 2006: An assessment of climate feedbacks in coupled ocean-atmosphere models. J. Climate, 19, 3354-3360.
37. 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.
38. 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. Climate, 21, 3504-3520.
39. 2 climate problem. J. Geophys. Res., 89 (D6), 9668-9672.
40. Stephens, G. L., 1978: Radiation profiles in extended water clouds. Part II: Parameterization schemes. J. Atmos. Sci., 35, 2123-2132.
41. Taylor, K. E., and S. J. Ghan, 1992: An analysis of cloud liquid water feedback and global climate sensitivity in a general circulation model. J. Climate, 5, 907-919.
42. Tompkins, A. M., and G. C. Craig, 1999: Sensitivity of tropical convection to sea surface temperature in the absence of largescale flow. J. Climate, 12, 462-476.
43. Trenberth, K. E., and J. T. Fasullo, 2010: Simulation of present-day and twenty-first-century energy budgets of the southern oceans. J. Climate, 23, 440-454.
44. Tselioudis, G., and W. B. Rossow, 1994: Global, multiyear variations of optical thickness with temperature in low and cirrus clouds. Geophys. Res. Lett., 21, 2211-2214.
45. Tselioudis, G., W. B. Rossow, and D. Rind, 1992: Global patterns of cloud optical thickness variation with temperature. J. Climate, 5, 1484-1495.
46. Tselioudis, G., A. D. D. Genio, W. Kovari, and M.-S. Yao, 1998: Temperature dependence of low cloud optical thickness in the GISS GCM: Contributing mechanisms and climate implications. J. Climate, 11, 3268-3281.
47. Tsushima, Y., and Coauthors, 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. Climate Dyn., 27, 113-126.
48. Twomey, S., 1977: The influence of pollution on the shortwave albedo of clouds. J. Atmos. Sci., 34, 1149-1152.
49. Vavrus, S., D. Waliser, A. Schweiger, and J. Francis, 2009: Simulations of 20th and 21st century Arctic cloud amount in the global climate models assessed in the IPCC AR4. Climate Dyn., 33, 1099-1115.
50. Weaver, C. P., 2003: Efficiency of storm tracks an important climate parameter? The role of cloud radiative forcing in poleward heat transport. J. Geophys. Res., 108, 4018, doi:10.1029/ 2002JD002756.
51. Webb, M. J., 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. Climate Dyn., 17, 905-922.
52. Webb, M. J., and Coauthors, 2006: On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles. Climate Dyn., 27, 17-38.
53. Wetherald, R. T., and S. Manabe, 1980: Cloud cover and climate sensitivity. J. Atmos. Sci., 37, 1485-1510.
54. Wetherald, R. T., and S. Manabe, 1988: Cloud feedback processes in a general circulation model. J. Atmos. Sci., 45, 1397-1415.
55. Williams, K., and M. Webb, 2009: A quantitative performance assessment of cloud regimes in climate models. Climate Dyn., 33, 141-157.
56. Wu, Y., M. Ting, R. Seager, H.-P. Huang, and M. A. Cane, 2011: Changes in storm tracks and energy transports in a warmer climate simulated by the GFDL CM2.1 model. Climate Dyn., 37, 53-72, doi:10.1007/s00382-010-0776-4.
57. Wyant, M. C., C. S. Bretherton, J. T. Bacmeister, J. T. Kiehl, I.M. Held, M. Zhao, S. A. Klein, and B. J. Soden, 2006: A comparison of low-latitude cloud properties and their response to climate change in three AGCMs sorted into regimes using mid-tropospheric vertical velocity. Climate Dyn., 27, 261-279.
58. Yin, J. H., 2005: A consistent poleward shift of the storm tracks in simulations of 21st century climate. Geophys. Res. Lett., 32, L18701, doi:10.1029/2005GL023684.
59. Zelinka, M. D., and D. L. Hartmann, 2010: Why is longwave cloud feedback positive? J. Geophys. Res., 115, D16117, doi:10.1029/ 2010JD013817.
60. Zelinka, M. D., and D. L. Hartmann, 2011: The observed sensitivity of high clouds to mean surface temperature anomalies in the tropics. J. Geophys. Res., 116, D23103, doi:10.1029/2011JD016459.
61. Zelinka, M. D., and D. L. Hartmann, 2012: Climate feedbacks and their implications for poleward energy flux changes in a warming climate. J. Climate, 25, 608-624.
62. 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. Climate, 25, 3715-3735.
63. Zhang, M. H., and Coauthors, 2005: Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements. J. Geophys. Res., 110, D15S02, doi:10.1029/2004JD005021