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|Krishnamurti, T. N., Stefanova, L., &, M., V. (2013). Tropical Meteorology: An Introduction. Springer.|
|Cammarano, D., Basso, B., Stefanova, L., & Grace, P. (2012). Adapting wheat sowing dates to projected climate change in the Australian subtropics: analysis of crop water use and yield. Crop Pasture Sci., 63(10), 974.|
Conlon, K. C., Kintziger, K. W., Jagger, M., Stefanova, L., Uejio, C. K., & Konrad, C. (2016). Working with Climate Projections to Estimate Disease Burden: Perspectives from Public Health. Int J Environ Res Public Health, 13(8).
Abstract: There is interest among agencies and public health practitioners in the United States (USA) to estimate the future burden of climate-related health outcomes. Calculating disease burden projections can be especially daunting, given the complexities of climate modeling and the multiple pathways by which climate influences public health. Interdisciplinary coordination between public health practitioners and climate scientists is necessary for scientifically derived estimates. We describe a unique partnership of state and regional climate scientists and public health practitioners assembled by the Florida Building Resilience Against Climate Effects (BRACE) program. We provide a background on climate modeling and projections that has been developed specifically for public health practitioners, describe methodologies for combining climate and health data to project disease burden, and demonstrate three examples of this process used in Florida.
Keywords: *Climate Change/statistics & numerical data; Florida; Forecasting; Humans; Models, Theoretical; Public Health/*trends; United States; adaptation; attributable fraction; climate modeling; project disease burden; public health
|Ramírez-Rodrigues, M. A., Alderman, P. D., Stefanova, L., Cossani, C. M., Flores, D., & Asseng, S. (2016). The value of seasonal forecasts for irrigated, supplementary irrigated, and rainfed wheat cropping systems in northwest Mexico. Agricultural Systems, 147, 76–86.|
|Cammarano, D., Zierden, D., Stefanova, L., Asseng, S., O'Brien, J. J., & Jones, J. W. (2016). Using historical climate observations to understand future climate change crop yield impacts in the Southeastern US. Climatic Change, 134(1-2), 311–326.|
|Selman, C., Misra, V., Stefanova, L., Dinapoli, S., & Smith III, T. J. (2013). On the twenty-first-century wet season projections over the Southeastern United States. Reg Environ Change, 13(S1), 153–164.|
|Cammarano, D., Stefanova, L., Ortiz, B. V., Ramirez-Rodrigues, M., Asseng, S., Misra, V., et al. (2013). Evaluating the fidelity of downscaled climate data on simulated wheat and maize production in the southeastern US. Reg Environ Change, 13(S1), 101–110.|
|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.|
|Stefanova, L., & Krishnamurti, T. N. (2011). Kinetic energy exchanges between the time scales of ENSO and the Pacific decadal oscillation. Meteorol Atmos Phys, 114(3-4), 95–105.|
|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.|