Hart, R. E., Maue, R. N., & Watson, M. C. (2007). Estimating Local Memory of Tropical Cyclones through MPI Anomaly Evolution.
Mon. Wea. Rev., 135(12), 3990–4005.
Hoogenboom, G., C.W. Fraisse, J.W. Jones, K.T. Ingram, J.J. O'Brien, J.G. Bellow, D. Zierden, D.E. Stooksbury, J.O. Paz, A. Garcia y Garcia, L.C. Guerra, D. Letson, N.E. Breuer, V.C. Cabrera, L.U. Hatch and C. Roncoli. (2007). Climate-Based Agricultural Risk Management Tools for Florida, Georgia and Alabama, USA. In Sivakumar M.V.K., & Hansen J. (Eds.),
Climate Prediction and Agriculture (pp. 273–278). Berlin, Heidelberg: Springer.
Kara, A. B., Metzger, E. J., & Bourassa, M. A. (2007). Ocean current and wave effects on wind stress drag coefficient over the global ocean.
Geophys. Res. Lett., 34(1).
Kennedy, A. J., Griffin, M. L., Morey, S. L., Smith, S. R., & O'Brien, J. J. (2007). Effects of El Niño-Southern Oscillation on sea level anomalies along the Gulf of Mexico coast.
J. Geophys. Res., 112(C5).
LaRow, T. E., Y.-K. Lim, D. W. Shin, S. D. Cocke, and E. Chassignet. (2007).
High resolution ensemble west Atlantic basin seasonal hurricane simulations. CAS/JSC Working Group on Numerical Experimentation.
Lim, Y. - K., D. W. Shin, T. E. LaRow, and S. Cocke. (2007).
Categorical predictability of regionalized surface temperature and precipitation over the southeast United States. CAS/JSC Working Group on Numerical Experimentation.
Lim, Y. - K., & Kim, K. - Y. (2007). ENSO Impact on the Space-Time Evolution of the Regional Asian Summer Monsoons.
J. Climate, 20(11), 2397–2415.
Lim, Y. - K., Shin, D. W., Cocke, S., LaRow, T. E., Schoof, J. T., O'Brien, J. J., et al. (2007). Dynamically and statistically downscaled seasonal simulations of maximum surface air temperature over the southeastern United States.
J. Geophys. Res., 112(D24).
Maue, R. N., & Hart, R. E. (2007). Comment on “Low frequency variability in globally integrated tropical cyclone power dissipation” by Ryan Sriver and Matthew Huber.
Geophys. Res. Lett., 34(11).
McDonald, E. M. (2007).
Designing Reliable Large-Scale Storage Arrays. Master's thesis, Florida State University, Tallahassee, FL.
Abstract: Large-scale storage arrays are always in high demand by universities, government agencies, web search engines, and research laboratories. This unvarying need for more data storage has begun to push storage array magnitudes into an unknown stratum. As storage systems continue to outgrow the terabyte class and move into the petabyte range, these colossal arrays begin to show design limitations. This thesis focuses primarily on disk drives as the building blocks of reliable large-scale storage arrays. As a feasibility baseline, the overall reliability of large-scale storage arrays should be greater than that of a single disk. However, petabyte- and exabyte-sized systems, requiring thousands to millions of disk drives, present a serious challenge in terms of reliability. Therefore, multi-level redundancy schemes must be used in order to slow these dwindling reliabilities. This work, based upon the previous research of redundant arrays of independent disks (RAID) by Patterson et al., introduces the reliability analysis of dual- and tri-level Grouped RAID (GRAID) configurations. As storage arrays rapidly increase in size, the use of multi-level redundancy is essential. Design recommendations for various large-scale storage arrays, ranging from 100 Tebibytes (TiB) to 100 Exbibytes (EiB), can be generated using the custom reliability calculator tool written in MATLAB. The analysis of these design recommendations shows that dual-level GRAID configurations are only recommended for array magnitudes up to 5 PiB. Beyond this threshold, tri-level GRAID demonstrates feasibility for storage magnitudes up to 100 EiB and beyond.