Publications

Ahmadalipour, A., and H. Moradkhani (2018) Multi-dimensional assessment of drought vulnerability across Africa: 1960-2100. Science of the Total Environment. 664:520-535. doi: 10.1016/j.scitotenv.2018.07.023.

Cohen, S., S. Praskievicz, D.R. Maidment, (2018), Featured Collection Introduction: National Water Model. Journal of the American Water Resources Association, 54 (4), 767–769. https://doi.org/10.1111/1752-1688.12664

Alfieri, L., S. Cohen, J. Galantowicz, G.J. Schumann, M.A. Trigg, E. Zsoter, C. Prudhomme, A. Kruczkiewicz, E.C. de Perez, A. Flamig,  R. Rudari, H. Wu, F.R. Adler, R.G. Brakenridge, A. Kettner, A. Weerts, P. Matgenu, S. Islam, T. de Groeve, P. Salamon, (2018). A global network for operational flood risk reduction. Environmental Science & Policy, 84, 149-158. https://doi.org/10.1016/j.envsci.2018.03.014  

VanDyke, M. S., & King, A. J. (2018). Using the CAUSE model to understand public communication about water risks: Perspectives from Texas groundwater district officials on drought and availability.Risk Analysis, 38, 1378-1389. doi: 10.1111/risa.12950,  Honorable Mention, ComSHER Division (AEJMC) Article of the Year 2019 Competition

Pathiraja, S., Anghileri, D., Burlando, P., Sharma, A., Marshall, L., and Moradkhani, H. (2018): Time-varying parameter models for catchments with land use change: the importance of model structure, Hydrol. Earth Syst. Sci., 22, 2903-2919, doi: 10.5194/hess-22-2903-2018.

Ahmadalipour, A., and H. Moradkhani (2018), Escalating heat-stress mortality risk due to global warming in the Middle East and North Africa (MENA), Environment International, 117, 215–225

Kettner, A. J., S. Cohen, I. Overeem, B.M. Fekete, G. R. Brakenridge, and J. P. Syvitski (2018). Estimating Change in Flooding for the 21st Century Under a Conservative RCP Forcing: A Global Hydrological Modeling Assessment. Global Flood Hazard: Applications in Modeling, Mapping, and Forecasting, 157-167.

Jacquot, M., Dorgan, K., Mortazavi, B., Kleinhuizen, A., Clemo, W. (2018). Macrobenthic community structure and influence on denitrification capacity in soft sediments (Mobile Bay, Alabama, USA). Marine Ecology Progress Series, 605, 17-35.

Moradkhani H., Nearing G., Abbaszadeh P., Pathiraja S. (2018), Fundamentals of Data Assimilation and Theoretical Advances. In: Duan et al. (eds), Handbook of Hydrometeorological Ensemble Forecasting. Springer, Berlin, Heidelberg, doi: 10.1007/978-3-642-40457-3_30-1.

Pathiraja, S., D. Anghileri, P. Burlando, A. Sharma, L. Marshall, and H. Moradkhani (2018), Insights on the impact of systematic model errors on data assimilation performance in changing catchments, Advances in Water Resources, 113,202-222.

Walls, M., Magliocca, N.R., and McConnell, V. (2018). Modeling coastal land and housing markets: Understanding the competing influences of amenities and storm risks. Ocean and Coastal Management, 157: 95-110. DOI: https://doi.org/10.1016/j.ocecoaman.2018.01.021.

Sarge, M. A., Daggett, S., & VanDyke, M. S.(2018). Using theory to inform water conservation in business communities: Formative  research from a chamber initiative. Applied Environmental Education & Communication, 17, 198-214. doi: 10.1080

Munasinghe, D., S. Cohen, Y.F. Huang, Y.P. Tsang, J. Zhang, and Z. Fang, (2018), Intercomparison of Satellite Remote Sensing-Based Flood Inundation Mapping Techniques, Journal of the American Water Resources Association, 54 (4): 834–846. https://doi.org/10.1111/1752-1688.12626

*Domangue, R., Mortazavi, B. (2018). Nitrate reduction pathways in the presence of excess nitrogen in a shallow eutrophic estuary. Environmental Pollution, 238, 599-606.

Johansen, R., Beck, R., Nowosad, J., Nietch, C., Xu, M., Shu, S., Yang, B., Liu, H., Emery, E., Reif, M. and Harwood, J., 2018. Evaluating the portability of satellite derived chlorophyll-a algorithms for temperate inland lakes using airborne hyperspectral imagery and dense surface observations. Harmful Algae, 76, pp.35-46.