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.
Arbic, B. K., Karsten, R. H., & Garrett, C. (2009). On tidal resonance in the global ocean and the back-effect of coastal tides upon open-ocean tides.
Atmosphere-Ocean, 47(4), 239–266.
Arbic, B. K., Shriver, J. F., Hogan, P. J., Hurlburt, H. E., McClean, J. L., Metzger, E. J., et al. (2009). Estimates of bottom flows and bottom boundary layer dissipation of the oceanic general circulation from global high-resolution models.
J. Geophys. Res., 114(C2).
Arguez, A., Bourassa, M. A., & O'Brien, J. J. (2005). Detection of the MJO Signal from QuikSCAT.
J. Atmos. Oceanic Technol., 22(12), 1885–1894.
Arguez, A., O'Brien, J. J., & Smith, S. R. (2004). The Relationship Between Low-Frequency North Atlantic Sea Surface Temperatures and Surface Temperatures over Eastern North America and Europe. The CRCES-IRPC Workshop on Decadal Variability, NASA, NSF, and NOAA, Waikoloa, Hawaii, USA.
Arguez, A., O'Brien, J. J., & Smith, S. R. (2009). Air temperature impacts over Eastern North America and Europe associated with low-frequency North Atlantic SST variability.
Int. J. Climatol., 29(1), 1–10.
Arguez, A., Smith, S. R., & O'Brien, J. J. (2002).
The relationship between low-frequency North Atlantic sea surface temperatures and Eastern North American climate. COAPS Technical Report 02-6. Tallahassee, FL: Center for Ocean-Atmospheric Prediction Studies, Florida State University.
Bai, X., Cocke, S., LaRow, T. E., O'Brien, J. J., & Shin, D. W. (2006).
Paradox of SST and lower tropospheric temperature trends over the tropical Pacific ocean. Research Activities in Atmospheric and Ocean Modeling, CAS/JSC Working Group on Numerical Experimentation.
Banks, R. (2006).
Variability of Indian Ocean Surface Fluxes Using a New Objective Method. Master's thesis, Florida State University, Tallahassee, FL.
Abstract: A new objective technique is used to analyze monthly mean gridded fields of air and sea temperature, scalar and vector wind, specific humidity, sensible and latent heat flux, and wind stress over the Indian Ocean. A variational method produces a 1°x1° gridded product of surface turbulent fluxes and the variables needed to calculate these fluxes. The surface turbulent fluxes are forced to be physically consistent with the other variables. The variational method incorporates a state of the art flux model, which should reduce regional biases in heat and moisture fluxes. The time period is January 1982 to December 2003. The wind vectors are validated through comparison to monthly scatterometer winds. Empirical orthogonal function (EOF) analyses of the annual cycle emphasize significant modes of variability in the Indian Ocean. The dominant monsoon reversal and its connection with the southeast trades are linked in eigenmodes one and two of the surface fluxes. The third eigenmode of latent and sensible heat flux reveal a structure similar to the Indian Ocean Dipole (IOD) mode. The variability in surface fluxes associated with the monsoons and IOD are discussed. September-October-November composites of the surface fluxes during the 1997 positive IOD event and the 1983 negative IOD event are examined. The composites illustrate characteristics of fluxes during different IOD phases.
Banks, R. F., Bourassa, M. A., Hughes, P., O'Brien, J. J., & Smith, S. R. (2006). Variability of surface turbulent fluxes over the Indian Ocean. In
14th Conference on Interactions of the Sea and Atmosphere (cdrom).