Publications

Keighhobad Jafarzadegan, Peyman Abbaszadeh, Hamid Moradkhani (2021), Sequential data assimilation for real-time probabilistic flood inundation mapping, Hydrol. Earth Syst. Sci., 25, 4995–5011, doi: 10.5194/hess-25-4995-2021.

Gavahi, K., P. Abbaszadeh, and H. Moradkhani (2021), DeepYield: A combined convolutional neural network with long short-term memory for crop yield forecasting, Expert Systems with Applications, doi: 10.1016/j.eswa.2021.115511

Lele, U., Goswami, S. and Mekonnen, M.M. (2021) Achieving Sustainable Healthy Food Systems: The Need for Actual Food Consumption Data for Measuring Food Insecurity and Its Consequences. Economic and Political Weekly (India) 56(7), 40-47.

Sharda, V., Mekonnen, M.M., Ray, C. and Gowda, P.H. (2021) Use of Multiple Environment Variety Trials Data to Simulate Maize Yields in the Ogallala Aquifer Region: A Two Model Approach. 57(2), 281-295.

Mohanasundaram, S., Mekonnen, M.M., Haacker, E., Ray, C., Lim, S. and Shrestha, S. (2021) An application of GRACE mission datasets for streamflow and baseflow estimation in the Conterminous United States basins. Journal of Hydrology 601, 126622.

Dávila, A., McSweeney, K., Magliocca, N.R., Rueda, X. (2021). Spatializing illicit global commodity chains. Area. DOI: 10.1111/area.12724.

Muñoz, D.F., Muñoz, P., Moftakhari, H. R., & Moradkhani, H. (2021). From local to regional compound flood mapping with deep learning and data fusion techniques. Science of The Total Environment, 782, 146927, https://doi.org/10.1016/j.scitotenv.2021.146927.

Magliocca, N.R., Torres, A., Margulies, J.D., Carter, N.H., Gore, M., Arroyo-Quiroz, I., Curtin, K.M., Easter*, T.S., Hübschle, A., Massé, F., McSweeney, K., Rege, A., Tellman, E. (2021). Comparative Analysis of Illicit Supply Network Structure and Operations: Cocaine, Wildlife, and Sand. Journal of Illicit Economies and Development, 3(1): pp. 1–24. DOI: https://doi.org/10.31389/jied.76.

Muñoz, D. F., Yin, D., Bakhtyar, R., Moftakhari, H. R., Xue, G., Mandli, K., & Ferreira, C. (2021). Inter-model comparison of Delft3D-FM and 2D HEC-RAS for Total Water Level Prediction. J. of American Water Resources Association, https://doi.org/10.1111/1752-1688.12952.

Yin, D., Muñoz, D. F., Bakhtyar, R., Xue, G., Moftakhari, H. R., Ferreira, C. and Mandli, K. (2021). Extreme water level simulation and component analysis using a compound flooding model framework in Delaware Estuary during Hurricane Isabel. J. of American Water Resources Association, https://doi.org/10.1111/1752-1688.12947.

Shao, W. and Hao, F. (2021) “Understanding American public support for COVID-19 risk mitigation: The role of political orientation, socio-demographic characteristics, personal concern, and experience.” International Journal of Public Health https://doi.org/10.3389/ijph.2021.1604037

Hao, F. and Shao, W. (2021) “What really drives the deployment of renewable energy? A global assessment of 118 countries” Energy Research and Social Science 72, 101880

Hao, F. and Shao, W. (2021) “Understanding the Effects of Individual and State-level Factors on American Public Response to COVID–19.” American Journal of Health Promotion,doi:10.1177/08901171211017286

Engstrom, J., S. Praskievicz, B. Bearden, and H. Moradkhani (2021), Decreasing water resources in Southeastern U.S. as observed by the GRACE satellites, Water Policy, doi:10.2166/wp.2021.039

VanDyke, M. S., Armstrong, C. L., & Bareford, K. J. (2021). How stakeholders adopt and share flood forecast information: A survey of Mississippi River outlook users. Journal of Extreme Events. https://doi.org/10.1142/S2345737621500111