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Bastola, S., & Misra, V. (2014). Evaluation of dynamically downscaled reanalysis precipitation data for hydrological application. Hydrol. Process., 28(4), 1989–2002.
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DiNapoli, S. M., & Misra, V. (2012). Reconstructing the 20th century high-resolution climate of the southeastern United States. J. Geophys. Res., 117(D19).
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Ewert, F., Rötter, R. P., Bindi, M., Webber, H., Trnka, M., Kersebaum, K. C., et al. (2015). Crop modelling for integrated assessment of risk to food production from climate change. Environmental Modelling & Software, 72, 287–303.
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Golbahar, M., Srivastava, P., & Stefanova, L. (2013). The impact of climate change on rainfall Intensity-Duration-Frequency (IDF) curves in Alabama. Regional Environmental Change, 13(S1), S25–S33.
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Hoffmann, H., Zhao, G., van Bussel, L., Enders, A., Specka, X., Sosa, C., et al. (2015). Variability of effects of spatial climate data aggregation on regional yield simulation by crop models. Clim. Res., 65, 53–69.
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Infanti, J. M., Kirtman, B. P., Aumen, N. G., Stamm, J., & Polsky, C. (2019). Assessment of uncertainty in multimodel means of downscaled South Florida precipitation for projected (20192099) climate. Int J Climatol, 40(5), 2764–2777.
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Kirtman, B. P., Misra, V., Burgman, R. J., Infanti, J., & Obeysekera, J. (2017). Florida climate variability and prediction. In E. P. Chassignet, J. W. Jones, V. Misra, & J. Obeysekera (Eds.), Florida's climate: Changes, variations, & impacts (pp. 511–532). Gainesville, FL: Florida Climate Institute.
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LaRow, T. (2013). An analysis of tropical cyclones impacting the Southeast United States from a regional reanalysis. Reg Environ Change, 13(S1), 35–43.
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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.
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Miller, A. J., Collins, M., Gualdi, S., Jensen, T. G., Misra, V., Pezzi, L. P., et al. (2017). Coupled ocean-atmosphere modeling and predictions. j mar res, 75(3), 361–402.
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Misra, V., Mishra, A., & Li, H. (2016). The Sensitivity of the Regional Coupled Ocean-Atmosphere Simulations over the Intra-Americas Seas to the prescribed bathymetry. Dynamics of Atmospheres and Oceans, 76, 29–51.
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Obeysekera, J., Graham, W., Sukop, M. C., Asefa, T., Wang, D., Ghebremichael, K., et al. (2017). Implications of climate change on Florida's water resources. In E. P. Chassignet, J. W. Jones, V. Misra, & J. Obeysekera (Eds.), Florida's climate: Changes, variations, & impacts (pp. 83–124). Gainesville, FL: Florida Climate Institute.
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Rypkema, D. C., Horvitz, C. C., & Tuljapurkar, S. (2019). How climate affects extreme events and hence ecological population models. Ecology, 100(6), e02684.
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Sachindra,, Ahmed,, Rashid, M. M., Shahid,, & Perera,. (2018). Statistical downscaling of precipitation using machine learning techniques. Atmospheric Research, 212, 240–258.
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Selman, C., & Misra, V. (2015). Simulating diurnal variations over the southeastern United States: Simulation of SEUS Diurnal Variations. J. Geophys. Res. Atmos., 120(1), 180–198.
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Shin, D. W., & Cocke, S. (2013). Alternative ways to evaluate a seasonal dynamical downscaling system. J. Geophys. Res. Atmos., 118(24), 13,443–13,448.
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Teegavarapu, R. S. V., & Goly, A. (2018). Optimal Selection of Predictor Variables in Statistical Downscaling Models of Precipitation. Water Resour Manage, 32(6), 1969–1992.
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van Bussel, L. G. J., Ewert, F., Zhao, G., Hoffmann, H., Enders, A., Wallach, D., et al. (2016). Spatial sampling of weather data for regional crop yield simulations. Agricultural and Forest Meteorology, 220, 101–115.
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van Hooidonk, R., Maynard, J. A., Liu, Y., & Lee, S. - K. (2015). Downscaled projections of Caribbean coral bleaching that can inform conservation planning. Glob Change Biol, .
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Verdin, A., Rajagopalan, B., Kleiber, W., Podestá, G., & Bert, F. (2018). A conditional stochastic weather generator for seasonal to multi-decadal simulations. Journal of Hydrology, 556, 835–846.
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