Shortwave cloud radiative forcing on major stratus cloud regions in AMIP-type simulations of CMIP3 and CMIP5 models

Advances in Atmospheric Sciences

Volumn 30, Issue 3, 2013, Pages 884-907

  Zhang, Yi ^a,b   Li, Jian ^c  

^a INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c NATIONAL CLIMATE CENTER   (China)

Author keywords

CMIP; IPCC; shortwave cloud radiative forcing; stratus clouds

Indexed keywords

EID: 84876423455     PISSN: 02561530     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00376-013-2153-9     Document Type: Article

References (41)

1. Bachiochi, D. R., and T. N. Krishnamurti, 2000: Enhanced low-level stratus in the FSU coupled ocean-atmosphere model. Mon. Wea. Rev., 128, 3083-3103.
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., 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.
4. Bretherton, C. S., and Coauthors, 2004: The epic 2001 stratocumulus study. Bull. Amer. Meteor. Soc., 85, 967-977.
5. Cess, R. D., and Coauthors, 1990: Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models. J. Geophys. Res., 95, 16601-16615.
6. Collins, W. D., and Coauthors, 2004: Description of the NCAR community atmosphere model (CAM 3. 0).
7. Colman, R., 2003: A comparison of climate feedbacks in general circulation models. Climate Dyn., 20, 865-873.
8. Dong, L., L. Li, W. Huang, Y. Wang, and B. Wang, 2012: Preliminary evaluation of cloud fraction simulations by GAMIL2 using COSP. Atmos. Oceanic Sci. Lett., 5, 258-263.
9. Eitzen, Z. A., K.-M. Xu, and T. Wong, 2011: An estimate of low-cloud feedbacks from variations of cloud radiative and physical properties with sea surface temperature on interannual time scales. J. Climate, 24, 1106-1121.
10. Gent, P., S. Yeager, R. Neale, S. Levis, and D. Bailey, 2010: Improvements in a half degree atmosphere/land version of the CCSM. Climate Dyn., 34, 819-833.
11. Ichikawa, H., H. Masunaga, Y. Tsushima, and H. Kanzawa, 2011: Reproducibility by climate models of cloud radiative forcing associated with tropical convection. J. Climate, 25, 1247-1262.
12. IPCC, 2007: Cilmate models and their evaluation. Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. S. Solomon, et al., Eds., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 589-662.
13. Kay, J. E., and Coauthors, 2012: Exposing global cloud biases in the community atmosphere model (CAM) using satellite observations and their corresponding instrument simulators. J. Climate, 25, 5190-5207.
14. Klein, S. A., and D. L. Hartmann, 1993: The seasonal cycle of low stratiform clouds. J. Climate, 6, 1587-1606.
15. Li, Y., and H. Gu, 2006: Relationship between middle stratiform clouds and large scale circulation over eastern China. Geophys. Res. Lett., 33, L09706, doi: 10. 1029/2005gl025615.
16. Li, J., R. Yu, T. Zhou, and B. Wang, 2005: Why is there an early spring cooling shift downstream of the Tibetan Plateau? J. Climate, 18, 4660-4668.
17. Li, X., X. Guo, and J. Zhu, 2008: Climatic features of cloud water distribution and cycle over China. Adv. Atmos. Sci., 25(3), 437-446.
18. Nam, C. C. W., and J. Quaas, 2012: Evaluation of clouds and precipitation in the ECHAM5 general circulation model using CALIPSO and CloudSat satellite data. J. Climate, 25, 4975-4992.
19. Norris, J. R., and S. F. Iacobellis, 2005: North Pacific cloud feedbacks inferred from synoptic-scale dynamic and thermodynamic relationships. J. Climate, 18, 4862-4878.
20. Phillips, T. J., 1996: Documentation of the AMIP models on the world wide web. Bull. Amer. Meteor. Soc., 77, 1191-1196.
21. Pope, V., and Coauthors, 2007: The met office Hadley Centre climate modelling capability: The competing requirements for improved resolution, complexity and dealing with uncertainty. Philopphical Transactions of the Royal Society A, 365, 2635-2657.
22. Qian, Y., C. N. Long, H. Wang, J. M. Comstock, S. A. McFarlane, and S. Xie, 2012: Evaluation of cloud fraction and its radiative effect simulated by IPCC AR4 global models against ARM surface observations. Atmos. Chem. Phys., 12, 1785-1810.
23. Richter, I., and C. R. Mechoso, 2006: Orographic influences on subtropical stratocumulus. J. Atmos. Sci., 63, 2585-2601.
24. Senior, C. A., and J. F. B. Mitchell, 1993: Carbon dioxide and climate. The impact of cloud parameterization. J. Climate, 6, 393-418.
25. 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. Climate, 21, 2269-2282.
26. Smith, R. N. B., 1990: A scheme for predicting layer clouds and their water content in a general circulation model. Quart. J. Roy. Meteor. Soc., 116, 435-460.
27. Stephens, G. L., 2005: Cloud feedbacks in the climate system: A critical review. J. Climate, 18, 237-273.
28. Stowasser, M., and K. Hamilton, 2006: Relationship between shortwave cloud radiative forcing and local meteorological variables compared in observations and several global climate models. J. Climate, 19, 4344-4359.
29. Weaver, C. P., and V. Ramanathan, 1997: Relationships between large-scale vertical velocity, static stability, and cloud radiative forcing over Northern Hemisphere extratropical Oceans. J. Climate, 10, 2871-2887.
30. Williams, K. D., M. A. Ringer, and C. A. Senior, 2003: Evaluating the cloud response to climate change and current climate variability. Climate Dyn., 20, 705-721.
31. Wood, R., 2012: Stratocumulus clouds. Mon. Wea. Rev, 140, 2373-2423.
32. Wood, R., and C. S. Bretherton, 2006: On the relationship between stratiform low cloud cover and lowertropospheric stability. J. Climate, 19, 6425-6432.
33. Wu, T., and Coauthors, 2008: The Beijing climate center atmospheric general circulation model: Description and its performance for the present-day climate. Climate Dyn., 34, 149-150.
34. Wyant, M., and Coauthors, 2006: A comparison of lowlatitude cloud properties and their response to climate change in three AGCMs sorted into regimes using mid-tropospheric vertical velocity. Climate Dyn., 27, 261-279.
35. Yu, R., Y. Yu, and M. Zhang, 2001: Comparing cloud radiative properties between the eastern China and the Indian monsoon region. Adv. Atmos. Sci., 18, 1090-1102.
36. Yu, R., B. Wang, and T. Zhou, 2004: Climate effects of the deep continental stratus clouds generated by the Tibetan Plateau. J. Climate, 17, 2702-2713.
37. Yuan, J., D. L. Hartmann, and R. Wood, 2008: Dynamic effects on the tropical cloud radiative forcing and radiation budget. J. Climate, 21, 2337-2351.
38. Yue, Q., B. H. Kahn, E. J. Fetzer, and J. O. Teixeira, 2011: Relationship between marine boundary layer clouds and lower tropospheric stability observed by AIRS, CloudSat, and CALIOP. J. Geophys. Res., 116, D18212, doi: 10. 1029/2011jd016136.
39. 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.
40. Zhang, M., C. S. Bretherton, M. Webb, and P. Siebesma, 2010: CFMIP-GCSS intercomparison of large eddy models and single column models (CGILS). GEWEX News, 20(2), 1-16.
41. Zuidema, P., and D. L. Hartmann, 1995: Satellite determination of stratus cloud, microphysical properties. J. Climate, 8, 1638-1657.