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Shin, D. W., & Cocke, S. (2013). Alternative ways to evaluate a seasonal dynamical downscaling system. J. Geophys. Res. Atmos., 118(24), 13,443–13,448.
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Verzone, K. V., Bourassa, M. A., Cocke, S. D., & LaRow, T. E. (2001). Double ensemble estimates of precipitation in the southeastern United States for extreme ENSO events. In Symposium on Climate Variability, the Oceans and Societal Impacts (pp. 167–168).
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Cocke, S. D., & LaRow, T. E. (1999). ), Seasonal Predictions of ENSO Impacts using a Nested Regional Spectral Model (H. Ritchie, Ed.). CAS/JSC Working Group on Numerical Experimentation, Research Activities in Atmospheric and Oceanic Modeling.
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LaRow, T. E., & Cocke, S. D. (1999). Simulation of the 1997/98 and 1991/92 ENSO event using a Coupled Ocean-Atmosphere Regional Spectral Model (H. Ritchie, Ed.). Research Activities in Atmospheric and Oceanic Modelling.
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Verzone, K. V., Bourassa, M. A., Bachiochi, D., Cocke, S. D., LaRow, T. E., & O'Brien, J. J. (2000). Double Ensemble Estimates of Precipitation in the Southeastern United States for Extreme ENSO Events (H. Ritchie, Ed.).
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Cocke, S., Christidis, Z., LaRow, T., & Shin, D. W. (2002). Performance of a Coupled Ocean-Amosphere Model on the IBM SP4. In Proceedings from the Tenth Workshop on the Use of Parallel Computers, ECMWF, in Meteorology, Reading, U.K..
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LaRow, T. E., Cocke, S., & Shin, D. W. (2003). Multi-convection as a multi-model proxy for seasonal climate studies. CLIVAR Exchanges, 28.
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Shin, D. W., Cocke, S., LaRow, T. E., & O'Brien, J. J. (2004). Seasonal climate signatures in the FSU climate model coupled to the CLM2. In Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation.
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AjayaMohan, R. S., Jagtap, S., LaRow, T. E., Cocke, S., O'Brien, J. J., Jones, J., et al. (2004). Using climate models to generate crop yield forecasts in southeast USA. In Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation.
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LaRow, T. E., & Cocke, S. (2004, Spring). Methods for Multi¬Model Proxies for Climate Studies. CLIVAR Exchanges Newsletter.
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