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.
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.
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.
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.
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 , .
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.
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 .
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.
Shin, D. W., & O'Brien, J. J. (2003). A Note on Korean Monsoon Energetics. Korean Journal of Atmospheric Sciences , 6 (1), 55–61.
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.