Quantitative evaluation of the seasonal variations in climate model cloud regimes

Climate Dynamics

Volumn 41, Issue 9-10, 2013, Pages 2679-2696

  Tsushima, Yoko ^a   Ringer, Mark A ^a   Webb, Mark J ^a   Williams, Keith D ^a  

^a MET OFFICE   (United Kingdom)

Author keywords

Climate model; Cloud feedback; Cloud metric; Cloud radiative effect; Cloud regime; Seasonal variation

Indexed keywords

CLIMATE MODELING; CLIMATOLOGY; CLOUD RADIATIVE FORCING; ERROR ANALYSIS; NUMERICAL MODEL; QUANTITATIVE ANALYSIS; SEASONAL VARIATION; STRATOCUMULUS;

EID: 84886721481     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-012-1609-4     Document Type: Article

References (32)

1. Andrews T, Gregory JM, Webb MJ, Taylor KE (2012) Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere-ocean climate models. Geophys Res Lett. doi: 10. 1029/2012GL051607.
2. Bodas-Salcedo A, Webb MJ, Bony S, Chepfer H, Dufresne JL, Klein S, Zhang Y, Marchand R, Haynes JM, Pincus R, John VO (2011) COSP: satellite simulation software for model assessment. Bull Am Meteorol Soc 92(8): 1023-1043. doi: 10. 1175/2011BAMS2856. 1.
3. Bodas-Salcedo A, Williams KD, Field PR, Lock AP (2012) The surface downwelling solar radiation surplus over the southern ocean in the Met Office model: the role of midlatitude cyclone clouds. J Clim. doi: 10. 1175/JCLI-D-11-00702. 1.
4. Bony S, Dufresne JL, Le Treut H, Morcrette JJ, Senior CA (2004) On dynamic and thermodynamic components of cloud changes. Clim Dyn 22: 71-86. doi: 10. 1007/s00382-003-0369-6.
5. Bony S, Webb MJ, Bretherton CS, Klein SA, Siebesma AP, Tselioudis G, Zhang M (2011) CFMIP: towards a better evaluation and understanding of clouds and cloud feedbacks in CMIP5 models. CLIVAR Exch 16(2): 20-24.
6. Cess RD, Potter GL (1987) Exploratory studies of cloud radiative forcing with a general circulation model. Tellus Ser A 39: 460-473.
7. Cess RD, Zhang MH, Potter GL, Alekseev V, Barker HW, Bony S, Colman RA, Dazlich DA, Del Genio AD, Déqué M, Dix MR, Dymnikov V, Esch M, Fowler LD, Fraser JR, Galin V, Gates WL, Hack JJ, Ingram WJ, Kiehl JT, Kim Y, Le Treut H, Liang XZ, McAvaney BJ, Meleshko VP, Morcrette JJ, Randall DA, Roeckner E, Schlesinger ME, Sporyshev PV, Taylor KE, Timbal B, Volodin EM, Wang W, Wang WC, Wetherald RT (1997) Comparison of the seasonal change in cloud-radiative forcing from atmospheric general circulation models and satellite observations. J Geophys Res 102: 16593-16603.
8. Charlock T, Ramanathan V (1985) The Albedo field and cloud radiative forcing in a general circulation model with internally generated cloud optics. J Atmos Sci 42: 1408-1429.
9. Gleckler PJ, Taylor KE, Doutriaux C (2008) Performance metrics for climate models. J Geophys Res 113: D06104. doi: 10. 1029/2007JD008972.
10. Harrison EF, Minnis P, Barkstrom BR, Ramanathan V, Cess RD, Gibson GG (1990) Seasonal variation of cloud radiative forcing derived from the earth radiation budget experiment. J Geophys Res 95: 18687-18703.
11. Jiang JH, et al. (2012) Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA "A-Train" satellite observations. J Geophys Res. doi: 10. 1029/2011JD017237 (in press).
12. Klein SA, Jakob C (1999) Validation and sensitivities of frontal clouds simulated by the ECMWF model. Mon Weather Rev 127(10): 2514-2531.
13. Meehl GA, Stocker TF, Collins WD, Friedlingstein P, Gaye AT, Gregory JM, Kitoh A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao ZC (2007) Global climate projections,. Cambridge University Press, Cambridge. Climate Change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change.
14. Norris JR, Weaver CP (2001) Improved techniques for evaluating GCM cloudiness applied to the NCAR CCM3. J Clim 14: 2540-2550.
15. Pincus R, Batstone CP, Hofmann RJP, Taylor KE, PJ Glecker (2008) Evaluating the present-day simulation of clouds, precipitation, and radiation in climate models. J Geophys Res 113. doi: 10. 1029/2007jd009334.
16. Pincus R, Platnick S, Ackerman SA, Hemler RS, Patrick Hofmann RJ (2012) Reconciling simulated and observed views of clouds: MODIS, ISCCP, and the limits of instrument simulators. J Climate 25: 4699-4720. doi: 10. 1175/JCLI-D-11-00267. 1.
17. Randall D, Wood R, Bony S, Colman R, Fichefet T, Fyfe J, Kattsov V, Pitman A, Shukla J, Srinivasan J, Stouffer R, Sumi A, Taylor K (2007) Climate models and their evaluation, Cambridge University Press, Cambridge. Climate Change 2007: the physical science basis. Contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change.
18. Rossow WB, Schiffer RA (1999) Advances in understanding clouds from ISCCP. Bull Amer Meteor Soc 80: 2261-2288.
19. Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106(D7): 7183-7192. doi: 10. 1029/2000JD900719.
20. Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Amer Meteor Soc 93. doi: 10. 1175/BAMS-D-11-00094. 1.
21. Trenberth KE, Fasullo JT (2010) Simulation of present-day and twenty-first-century energy budgets of the Southern Oceans. J Clim 23: 440-454. doi: 10. 1175/2009JCLI3152. 1.
22. Tselioudis G, Zhang Y, Rossow WB (2000) Cloud and radiation variations associated with northern midlatitude low and high sea level pressure regimes. J Clim 13(2): 312-327.
23. Tsushima Y, Abe-Ouchi A, Manabe S (2005) Radiative damping of annual variation in global mean surface temperature: comparison between observed and simulated feedback. Clim Dyn 24: 591-597.
24. Webb M, Senior C, Bony S, Morcrette JJ (2001) Combining ERBE and ISCCP data to assess clouds in the Hadley Centre, ECMWF and LMD atmospheric climate models. Clim Dyn 17: 905-922.
25. Williams KD, Tselioudis G (2007) GCM intercomparison of global cloud regimes: present-day evaluation and climate change response. Clim Dyn 29: 231-250. doi: 10. 1007/s00382-007-0232-2.
26. Williams KD, Webb MJ (2009) A quantitative performance assessment of cloud regimes in climate models. Clim Dyn 33(1): 141-157.
27. Williams KD, Ringer MA, Senior CA, Webb MJ, McAvaney BJ, Andronova N, Bony S, Dufresne JL, Emori S, Gudgel R, Knutson T, Li B, Lo K, Musat I, Wegner J, Slingo A, Mitchell JFB (2006) Evaluation of a component of the cloud response to climate change in an intercomparison of climate models. Clim Dyn 26: 145-165. doi: 10. 1007/s00382-005-0067-7.
28. Williams KD, Bodas-Salcedo A, Dquee M, Fermepin S, Medeiros B, Watanabe M, Jakob C, Klein SA, Senior CA, Williamson DL (2012) The transpose-AMIP II experiment and its application to the understanding of Southern Ocean cloud biases in climate models. J Clim. doi: 10. 1175/JCLI-D-12-00429. 1.
29. Zelinka, MD, Hartmann DL (2010) Why is longwave cloud feedback positive? J Geophys Res 115: D16117. doi: 10. 1029/2010JD013817.
30. Zelinka MD, Klein SA, Hartmann DL (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.
31. Zhang MH, Lin WY, Klein SA, Bacmeister JT, Bony S, Cederwall RT, Del Genio AD, Hack JJ, Loeb NG, Lohmann U, Minnis P, Musat I, Pincus R, Stier P, Suarez MJ, Webb MJ, Wu JB, Xie SC, Yao M-S, Zhang JH (2005) Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements. J Geophys Res 110. doi: 10. 1029/2004JD005021.
32. Zhang Y, Rossow WB, Lacis AA (1995) Calculation of surface and top of atmosphere radiative fluxes from physical quantities based on ISCCP datasets 1. Method and sensitivity to input data uncertainties. J Geophys Res 100: 1149-1165.