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.
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., 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).
Banks, R. F., O'Brien, J. J., & Smith, S. R. (2005). Spatial and temporal variability of precipitation runs in the Southeast U.S. and their potential impact on agriculture. In
15th AMS Conference on Applied Climatology, AMS, Savannah, GA, USA.
Basu, S. K., & Meyers, S. D. (1997).
CEOF analysis of TOPEX and model sea level variations in the Arabian Sea. COAPS Technical Report 97-5. Tallahassee, FL: Center for Ocean-Atmospheric Prediction Studies, Florida State University.
Bellow, J. G. (2005). Climate Forecasts for Thermal Units Prediction: Chilling Accumulation and Winter Crop Development in Alabama, Florida and Georgia. In
American Society of Agronomy meeting, Nov. 6-10, Salt Lake City, Utah, USA.