Selman, C., & Misra, V. (2015). Simulating diurnal variations over the southeastern United States. J. Geophys. Res. Atmos. , 120 (1), 180–198.
Bastola, S., & Misra, V. (2014). Evaluation of dynamically downscaled reanalysis precipitation data for hydrological application. Hydrol. Process. , 28 (4), 1989–2002.
Schoof, J. T., Shin, D. W., Cocke, S., LaRow, T. E., Lim, Y. - K., & O'Brien, J. J. (2009). Dynamically and statistically downscaled seasonal temperature and precipitation hindcast ensembles for the southeastern USA. Int. J. Climatol. , 29 (2), 243–257.
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).
Lim, Y. - K., Cocke, S., Shin, D. W., Schoof, J. T., LaRow, T. E., & O'Brien, J. J. (2010). Downscaling large-scale NCEP CFS to resolve fine-scale seasonal precipitation and extremes for the crop growing seasons over the southeastern United States. Clim Dyn , 35 (2-3), 449–471.
Stefanova, L., Misra, V., Chan, S., Griffin, M., O'Brien, J. J., & Smith III, T. J. (2012). A proxy for high-resolution regional reanalysis for the Southeast United States: assessment of precipitation variability in dynamically downscaled reanalyses. Clim Dyn , 38 (11-12), 2449–2466.
Li, H., & Misra, V. (2014). Thirty-two-year ocean-atmosphere coupled downscaling of global reanalysis over the Intra-American Seas. Clim Dyn , 43 (9-10), 2471–2489.
LaRow, T. (2013). An analysis of tropical cyclones impacting the Southeast United States from a regional reanalysis. Reg Environ Change , 13 (S1), 35–43.
Mirhosseini, G., Srivastava, P., & Stefanova, L. (2013). The impact of climate change on rainfall Intensity-Duration-Frequency (IDF) curves in Alabama. Reg Environ Change , 13 (S1), 25–33.
Baigorria, G. A., Jones, J. W., & O'Brien, J. J. (2008). Potential predictability of crop yield using an ensemble climate forecast by a regional circulation model. Agricultural and Forest Meteorology , 148 (8-9), 1353–1361.