IPCC. 2007. Fourth Assessment Report, Climate Change 2007. Cambridge, England: Cambridge University Press.

Jochum, Markus, Raghu Murtugudde, Raffaele Ferrari, and Paola Malanotte-Rizzoli. 2005. The impact of horizontal resolution on the tropical heat budget in an atlantic ocean model. Journal of Climate 18(6): 841-851.

Kalnay, Eugenia. 2003. Atmospheric Modeling, Data Assimilation and Predictability. Cambridge, England: Cambridge University Press.

Lorenz, E.N. 1982. Atmospheric predictability experiments with a large numerical model. Tellus 34: 505-513.

Mesinger, Fedor, Geoff DiMego, Eugenia Kalnay, et al. 2006. North American regional reanalysis. Bulletin of the American Meteorological Society 87: 343-360.

National Research Council (NRC). 2002. Abrupt Climate Change: Inevitable Surprises. Washington, D.C.: The National Academies Press.

Palmer, T.N. 2006. Predictability of weather and climate: From theory to practice. In Predictability of Weather and Climate. Tim Palmer and Renate Hagaedorn, eds. Cambridge, England: Cambridge University Press.

Platzman, George W. 1979. The ENIAC computations of 1950—Gateway to numerical weather prediction. Bulletin of the American Meteorological Society 60: 302-312.

Rojas, Maisa. 2006. Multiply nested regional climate simulation for southern South America: Sensitivity to model resolution. Monthly Weather Review 134(8): 2208-2223.

Stephens, G.L. 2005. Cloud feedbacks in the climate system: A critical review. Journal of Climate 18: 237-273.

Teweles, Sidney, Jr., Herman B. Wobus. 1954. Verification of prognostic charts. Bulletin of the American Meteorological Society 35: 455-463.

Thompson, S., B. Govindasamy, A. Mirin, K. Caldeira, C. Delire, J. Milovich, M. Wickett, and D.J. Erickson III. 2004. Quantifying the effects of CO2-fertilized vegetation on future global climate and carbon dynamics. Geophysical Research Letters 31.

Vermote, E.F., N.Z. El Saleous, and C.O. Justice. 2002. Atmospheric correction of MODIS data in the visible to middle infrared—First results. Remote Sensing Environment 83: 97-111.

Wilks, Daniel S. 2005. Statistical Methods in Atmospheric Science. New York, N.Y.: Academic Press.

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