Initial tendencies of cloud regimes in the Met Office unified model

Journal of Climate

Volumn 21, Issue 4, 2008, Pages 833-840

  Williams, Keith D ^a   Brooks, M E ^a  

^a MET OFFICE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC OPTICS; ATMOSPHERIC PRESSURE; ATMOSPHERIC TEMPERATURE; MATHEMATICAL MODELS; WEATHER FORECASTING;

HISTOGRAMS; NUMERICAL WEATHER PREDICTION; TROPICAL DEEP CONVECTION;

CLOUDS;

ATMOSPHERIC CONVECTION; CIRRUS; CLIMATE MODELING; CLIMATE PREDICTION; COMPUTER SIMULATION; CUMULUS; ERROR ANALYSIS; HISTOGRAM; OPTICAL DEPTH;

EID: 40849106829     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2007JCLI1900.1     Document Type: Article

References (27)

1. Anderberg, M. R., 1973: Cluster Analysis for Applications. Academic Press, 359 pp.
2. Barkstrom, B., and Coauthors, 1989: Earth Radiation Budget Experiment (ERBE) archival and April 1985 results. Bull. Amer. Meteor. Soc., 70, 1254-1262.
3. 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.
4. Cullen, M. J. P., 1993: The unified forecast/climate model. Meteor. Mag., 122, 81-94.
5. Forbes, R. M., and P. A. Clarke, 2003: Sensitivity of extratropical cyclone mesoscale structure to the parametrization of ice microphysical processes. Quart. J. Roy. Meteor. Soc., 129, 1123-1148.
6. Jakob, C., and G. Tselioudis, 2003: Objective identification of cloud regimes in the tropical western Pacific. Geophys. Res. Lett., 30, 2082, doi:10.1029/2003GL018367.
7. Jakob, C., G. Tselioudis, and T. Hume, 2005: The radiative, cloud, and thermo-dynamic properties of the major tropical western Pacific cloud regimes. J. Climate, 18, 1203-1215.
8. Jones, A., D. L. Roberts, and A. Slingo, 1994: A climate model study of indirect radiative forcing by anthropogenic sulphate aerosols. Nature, 370, 450-453.
9. Klein, S. A., and C. Jakob, 1999: Validation and sensitivities of frontal clouds simulated by the BCMWF model. Mon. Wea. Rev., 127, 2514-2531.
10. Klein, S. A., X. Jiang, J. Boyle, S. Malyshev, and S. Xie, 2006: Diagnosis of the summertime warm and dry bias over the U.S. Southern Great Plains in the GFDL climate model using a weather forecasting approach. Geophys. Res. Lett., 33, L18805, doi:10.1029/ 2006GL027567.
11. Klinker, E., and P. D. Sardeshmukh, 1992: The diagnosis of mechanical dissipation in the atmosphere from large-scale balance requirements. J. Atmos. Sci., 49, 608-627.
12. Liou, K.-N., 1986: Influence of cirrus clouds an weather and climate processes: A global perspective. Mon. Wea. Rev., 114, 1167-1199.
13. Liou, K.-N., and Q. Zheng, 1984: A numerical experiment on the interactions of radiation, clouds, and dynamic processes in a general circulation model. J. Atmos. Sci., 41, 1513-1536.
14. Martin, G. M., M. A. Ringer, V. D. Pope, A. Jones, C. Dearden, and T. J. Hinton, 2006: The physical properties of the atmosphere in the new Hadley Centre Global Environmental Model (HadGEM1). Part I: Model description and global climatology. J. Climate, 19, 1274-1301.
15. Phillips, T. J., and Coauthors, 2004: Evaluating parameterizations in general circulation models: Climate simulation meets weather prediction. Bull. Amer. Meteor. Soc., 85, 1903-1915.
16. Rawlins, F., S. P. Ballard, K. J. Bovis, A. M. Clayton, D. Li, G. W., Inverarity, A. C. Lorenc, and T. J. Payne, 2007: The Met Office global 4-dimensional data assimilation system. Quart. J. Roy. Meteor. Soc., 133, 347-362.
17. Ringer, M. A., and Coauthors, 2006: Global mean cloud feedbacks in idealized climate change experiments. Geophys. Res. Lett., 33, L07718, doi:10.1029/2005GL025370.
18. Rodwell, M. J., and T. N. Palmer, 2007: Using numerical weather prediction to assess climate models. Quart. J. Roy. Meteor. Soc., 133, 129-146.
19. Rossow, W. B., and R. A. Schiffer, 1999: Advances in understanding clouds from ISCCP. Bull. Amer. Meteor. Soc., 80, 2261-2287.
20. Senior, C. A., and J. F. B. Mitchell, 1993: Carbon dioxide and climate: The impact of cloud parameterization. J. Climate, 6, 393-418.
21. Soden, B. J., and I. M. Held, 2006: An assessment of climate feedbacks in coupled ocean-atmosphere models. J. Climate, 19, 3354-3360.
22. Strachan, J., 2007: Understanding and modelling the climate of the Maritime Continent. Ph.D. thesis, University of Reading.
23. WCRP, 2005: The World Climate Research Programme strategic framework 2005-2015: Coordinated Observation and Prediction of the Earth System (COPES). WCRP-123, WMO/TD 1291, 44 pp.
24. 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.
25. 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.
26. Williams, K. D., and G. Tselioudis, 2007: GCM intercomparison of global cloud regimes: Present-day evaluation and climate change response. Climate Dyn., 29, 231-250.
27. Zhang, Y., W. B. Rossow, A. A. Lacis, V. Oinas, and M. I. Mishchenko 2004: Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and input data. J. Geophys. Res., 109, D19105, doi.10.1029/2003JD004457.