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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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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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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, .
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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., Rypkema DC, Horvitz, C. C., Horvitz CC, Tuljapurkar, S., & 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 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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