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Citations
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Sharp, R. J., Bourassa, M. A., O'Brien, J. J., Katsaros, K. B., & Forde, E. B. (2001). Early detection of tropical cyclones using Sea Winds-derived vorticity for the 2001 hurricane season. EOS. Trans. AGU, 82(47), Fall meet. Suppl. Abstract OS31A–0388.
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Sharp, R. J., Bourassa, M. A., & O'Brien, J. J. (2003). Comments on “Early detection of tropical cyclones using SeaWinds-derived vorticity” – Reply. Bull. Amer. Meteor. Soc., 84(10), 1417.
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Sharp, R. J., Bourassa, M. A., & O'Brien, J. J. (2002). Early Detection of Tropical Cyclones Using Seawinds-Derived Vorticity. Bull. Amer. Meteor. Soc., 83(6), 879–889.
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Shchepetkin, A. F., & O'Brien, J. J. (1996). A Physically Consistent Formulation of Lateral Friction in Shallow-Water Equation Ocean Models. Mon. Wea. Rev., 124(6), 1285–1300.
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Shin, D. W., G. A. Baigorria, Y.-K. Lim, S. Cocke, T. E. LaRow, J. J. O'Brien, and J. W. Jones. (2009). Assessing Crop Yield Simulations with Various Seasonal Climate Data. Science and Technology Infusion Climate Bulletin, .
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Shin, D. W., Bellow, J. G., Cocke, S., LaRow, T. E., & O'Brien, J. J. (2006). Seasonal dynamical downscaling for crop yield estimation. Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation.
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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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Shin, D. W., LaRow, T. E., Cocke, S., & O'Brien, J. J. (2005). The role of the CLM2 in the surface air temperature and precipitation of the FSU climate model. Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation.
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Shin, D. W., & O'Brien, J. J. (2003). A Note on Korean Monsoon Energetics. Korean Journal of Atmospheric Sciences, 6(1), 55–61.
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Shin, D. W., Baigorria, G. A., Lim, Y. - K., Cocke, S., LaRow, T. E., O'Brien, J. J., et al. (2010). Assessing Maize and Peanut Yield Simulations with Various Seasonal Climate Data in the Southeastern United States. J. Appl. Meteor. Climatol., 49(4), 592–603.
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