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Bastola, S., Misra, V., & Li, H. (2013). Seasonal hydrological forecasts for watersheds over the Southeastern United States for boreal summer and fall seasons. Earth Interact., 17, 25.
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Bell, R. J., Gray, S. L., & Jones, O. P. (2017). North Atlantic storm driving of extreme wave heights in the North Sea. J. Geophys. Res. Oceans, 122(4), 3253–3268.
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Clarke, A. J. (2014). El Nino Physics and El Nino Predictability. Annu. Rev. Marine. Sci., 6(1), 79–99.
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Dietze, M. C., Fox, A., Beck-Johnson, L. M., Betancourt, J. L., Hooten, M. B., Jarnevich, C. S., et al. (2018). Iterative near-term ecological forecasting: Needs, opportunities, and challenges. Proc Natl Acad Sci USA, 115(7), 1424–1432.
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Elliott, J., Glotter, M., Ruane, A. C., Boote, K. J., Hatfield, J. L., Jones, J. W., et al. (2018). Characterizing agricultural impacts of recent large-scale US droughts and changing technology and management. Agricultural Systems, 159, 275–281.
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Elsner, J. B., & Widen, H. M. (2013). Predicting Spring Tornado Activity in the Central Great Plains By March 1st. Mon. Wea. Rev., 142(1), 259–267.
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Fournier-Level, A., Perry, E. O., Wang, J. A., Braun, P. T., Migneault, A., Cooper, M. D., et al. (2016). Predicting the evolutionary dynamics of seasonal adaptation to novel climates in_Arabidopsis thaliana_. Proc Natl Acad Sci USA, 113(20), E2812–E2821.
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Hong, S. - Y., Park, H., Cheong, H. - B., Kim, J. - E. E., Koo, M. - S., Jang, J., et al. (2013). The Global/Regional Integrated Model system (GRIMs). Asia-Pacific J Atmos Sci, 49(2), 219–243.
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Infanti, J. M., & Kirtman, B. P. (2016). North American rainfall and temperature prediction response to the diversity of ENSO. Clim Dyn, 46(9-10), 3007–3023.
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Infanti, J. M., & Kirtman, B. P. (2019). A comparison of CCSM4 high-resolution and low-resolution predictions for south Florida and southeast United States drought. Clim Dyn, 52(11), 6877–6892.
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Kirtman, B. P., Misra, V., Anandhi, A., Palko, D., & Infanti, J. (2017). Future climate change scenarios for Florida. In E. P. Chassignet, J. W. Jones, V. Misra, & J. Obeysekera (Eds.), Florida's climate: Changes, variations, & impacts (pp. 533–555). Gainesville, FL: Florida Climate Institute.
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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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Kren,, Cucurull,, & Wang,. (2018). Impact of UAS Global Hawk Dropsonde Data on Tropical and Extratropical Cyclone Forecasts in 2016. Wea. Forecasting, 33(5), 1121–1141.
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Onyejekwe, O., Holman, B., & Kachouie, N. N. (2017). Multivariate models for predicting glacier termini. Environ Earth Sci, 76(23).
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Roncoli, C., Jost, C., Kirshen, P., Sanon, M., Ingram, K. T., Woodin, M., et al. (2009). From accessing to assessing forecasts: an end-to-end study of participatory climate forecast dissemination in Burkina Faso (West Africa). Climatic Change, , 433–460.
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Tian, D., Martinez, C. J., & Graham, W. D. (2014). Seasonal Prediction of Regional Reference Evapotranspiration Based on Climate Forecast System Version 2. J. Hydrometeor, 15(3), 1166–1188.
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Wallach, D., Hwang, C., Correll, M. J., Jones, J. W., Boote, K., Hoogenboom, G., et al. (2018). A dynamic model with QTL covariables for predicting flowering time of common bean (Phaseolus vulgaris) genotypes. European Journal of Agronomy, 101, 200–209.
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Wallach, D., Thorburn, P., Asseng, S., Challinor, A. J., Ewert, F., Jones, J. W., et al. (2016). Estimating model prediction error: Should you treat predictions as fixed or random? Environmental Modelling & Software, 84, 529–539.
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Woli, P., Jones, J. W., Ingram, K. T., & Hoogenboom, G. (2014). Predicting Crop Yields with the Agricultural Reference Index for Drought. J Agro Crop Sci, 200(3), 163–171.
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Xu, X., Chassignet, E. P., & Wang, F. (2019). On the variability of the Atlantic meridional overturning circulation transports in coupled CMIP5 simulations. Clim Dyn, 52(11), 6511–6531.
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