The evolution of climate sensitivity and climate feedbacks in the community atmosphere model

Journal of Climate

Volumn 25, Issue 5, 2012, Pages 1453-1469

  Gettelman, A ^a   Kay, J E ^a   Shell, K M ^b  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b OREGON STATE UNIVERSITY   (United States)

Author keywords

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

Indexed keywords

CLIMATE SENSITIVITY; CLOUD FORCING; COMMUNITY ATMOSPHERE MODEL; LAPSE RATE; MIDLATITUDES; MODEL EXPERIMENTS; NATIONAL CENTER FOR ATMOSPHERIC RESEARCHES; PARAMETERIZATIONS; PHYSICAL PARAMETERIZATION; RADIATIVE FORCINGS; SHALLOW CONVECTION; SLAB OCEAN MODELS; SMALL AREA; STORM TRACK; SURFACE ALBEDO; TROPICAL CLOUDS;

ATMOSPHERIC RADIATION; CAMS; CARBON DIOXIDE; CLIMATE CHANGE; CLOUDS; FEEDBACK; PARAMETERIZATION; TROPICS;

CLIMATE MODELS;

AIR TEMPERATURE; ALBEDO; ATMOSPHERIC MODELING; CLIMATE CHANGE; CLIMATE FEEDBACK; CLIMATE MODELING; CLOUD RADIATIVE FORCING; PARAMETERIZATION; SENSITIVITY ANALYSIS; STORM TRACK; STRATOCUMULUS; WATER VAPOR;

EID: 84858256367     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-11-00197.1     Document Type: Article

References (45)

1. Bitz, C., K. Shell, P. Gent, D. Bailey, G. Danabasoglu, K. Armour, M. Holland, and J. Kiehl, 2012: Climate sensitivity of the Community Climate System Model version 4. J. Climate, in press.
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. Bony, S., and J.-L. Dufresne, H. Le Treut, J.-J. Morcrette, and C. Senior, 2004: On dynamic and thermodynamic components of cloud changes. Climate Dyn., 22, 71-86, doi:10.1007/s00382-003-0369-6.
4. Bony, S., and Coauthors, 2006: How well do we understand and evaluate climate change feedback processes? J. Climate, 19, 3445-3482.
5. Bretherton, C. S., and S. Park, 2009: A new moist turbulence parameterization in the Community Atmosphere Model. J. Climate, 22, 3422-3448.
6. Cess, R. D., and Coauthors, 1990: Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models. J. Geophys. Res., 95, 16 601-16 615.
7. Cess, R. D., and Coauthors, 1996: Cloud feedback in atmospheric general circulation models: An update. J. Geophys. Res., 101 (D8), 12 791-12 794.
8. Collins, W. D., and Coauthors, 2004: Description of the NCAR Community Atmosphere Model (CAM 3.0). NCAR Tech. Note NCAR/TN-4641STR, 226 pp.
9. Cess, R. D., and Coauthors, 2006: The formulation and atmospheric simulation of the Community Atmosphere Model Version 3 (CAM3). J. Climate, 19, 2122-2161.
10. Colman, R., 2003: A comparison of climate feedbacks in general circulation models. Climate Dyn., 20, 865-873.
11. 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.
12. Easter, R. C., and Coauthors, 2004: MIRAGE: Model description and evaluation of aerosols and trace gases. J. Geophys. Res., 109, D20210, doi:10.1029/2004JD004571.
13. Gettelman, A., and Coauthors, 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.
14. Gregory, J.M., and Coauthors, 2004:Anew method for diagnosing radiative forcing and climate sensitivity. Geophys. Res. Lett., 31, L03205, doi:10.1029/2003GL018747.
15. Held, I. M., and B. J. Soden, 2000: Water vapor feedback and global warming. Annu. Rev. Energy Environ., 25, 441-475.
16. Hurrell, J. W., J. J. Hack, D. Shea, J. M. Caron, and J. Rosinski, 2008: A new sea surface temperature and sea ice boundary dataset for the Community Atmosphere Model. J. Climate, 21, 5145-5153.
17. Iacono, M. J., J. S. Delamere, E. J. Mlawer, M. W. Shephard, S. A. Clough, and W. D. Collins, 2008: Radiative forcing by longlived greenhouse gases: Calculations with the AER radiative transfer models. J. Geophys. Res., 113, D13103, doi:10.1029/2008JD009944.
18. Kiehl, K. T., C. A. Shields, J. J. Hack, and W. D. Collins, 2006: The climate sensitivity of the Community Climate System Model version 3 (CCSM3). J. Climate, 19, 2584-2596.
19. Klein, S. A., and D. L. Hartmann, 1993: The seasonal cycle of low stratiform clouds. J. Climate, 6, 1587-1606.
20. Liu, X., and Coauthors, 2011: Toward a minimal representation of aerosol direct and indirect effects: Model description and evaluation. Geosci. Model Dev. Discuss., 4, 3485-3598.
21. Medeiros, B., and B. Stevens, 2011: Revealing differences in GCM representations of low clouds. Climate Dyn., 36, 385-399, doi:10.1007/s00382-009-0694-5.
22. Medeiros, B., and 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. Climate, 21, 4974-4991.
23. 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. Climate, 21, 3642-3659.
24. Neale, R. B., J. H. Richter, and M. Jochum, 2008: The impact of convection on ENSO: From a delayed oscillator to a series of events. J. Climate, 21, 5904-5924.
25. Neale, R. B., and Coauthors, 2010: Description of the NCAR Community Atmosphere Model (CAM5.0). NCAR Tech. Note NCAR/TN-486-STR, 268 pp.
26. 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. Climate, 22, 3449-3469.
27. Ramanathan, V., R. D. Cess, E. F. Harrison, P. Minnis, B. R. Barkstrom, E. Ahmad, andD.Hartmann, 1989: Cloud-radiative forcing and climate: Results from the Earth Radiation Budget Experiment. Science, 243, 57-63.
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. Santer, B. D., and Coauthors, 2005: Amplification of surface temperature trends and variability in the tropical atmosphere. Science, 309, 1551-1556, doi:10.1126/science.1114867.
30. Schneider, S., 1972: Cloudiness as a global climatic feedback mechanism: The effects on radiation balance and surface temperatures of variations in cloudiness. J. Atmos. Sci., 29, 1413-1422.
31. Seidel, D. J., Q. Fu, W. J. Randel, and T. Reichler, 2008: Widening of the tropical belt in a changing climate. Nat. Geosci., 1, 21-24, doi:10.1038/ngeo.2007.38.
32. Senior, C.A., and J. F.B.Mitchell, 1993:Carbon dioxide and climate: The impact of cloud parameterization. J. Climate, 6, 393-418.
33. Shell, K. M., J. T. Kiehl, and C. A. Shields, 2008: Using the radiative kernel technique to calculate climate feedbacks in NCAR's Community Atmosphere Model. J. Climate, 21, 2269-2282.
34. Slingo, A. A., 1989: A GCM parameterization for the shortwave radiative properties of clouds. J. Atmos. Sci., 46, 1419-1427.
35. Soden, B. J., and I. M. Held, 2006: An assessment of climate feedbacks in coupled ocean-atmosphere models. J. Climate, 19, 3354-3360.
36. Slingo, A. A, D. D. Turner, B. M. Lesht, and L. M. Miloshevich, 2004: An analysis of satellite, radiosonde, and lidar observations of upper tropospheric water vapor from the Atmospheric Radiation Measurement Program. J. Geophys. Res., 109, D04105, doi:10.1029/2003JD003828.
37. Slingo, A. A, 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.
38. Solomon, S., D. Qin, M. Manning, M. Marquis, K. Averyt, M.M. B. Tignor, H. L. Miller Jr., and Z. Chen, Eds., 2007: Climate Change 2007: The Physical Science Basis. Cambridge University Press, 996 pp.
39. Son, S.-W., and Coauthors, 2009: The impact of stratospheric ozone recovery on tropopause height trends. J. Climate, 22, 429-445.
40. Stephens, G. L., 2005: Cloud feedbacks in the climate system: A critical review. J. Climate, 18, 237-273.
41. 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.
42. Webb, M. J., and Coauthors, 2006: On the contribution of local feedback mechanism to the range of climate sensitivity in two GCMensembles. Climate Dyn., 27, 17-38, doi:10.1007/s00382-006-0111-2.
43. Wetherald, R. T., and S. Manabe, 1988: Cloud feedback processes in a general circulation model. J. Atmos. Sci., 45, 1397-1415.
44. Williams, K. D., and M. J. Webb, 2009:Aquantitative performance assessment of cloud regimes in climate models. Climate Dyn., 33, 141-157, doi:10.1007/s00382-008-0443-1.
45. Zhang, M. H., J. J. Hack, and J. T. Kiehl, 1994: Diagnostic study of climate feedback processes in atmospheric general circulation models. J. Geophys. Res., 99 (D3), 5525-5537.