Articles from the center, those using its research, and faculty associated with the center.
Magliocca, N.R., McSweeney, K. Sesnie, S.E., Tellman, E., Devine, J.A., Nielsen, E.A., Pearson, Z. Wrathall, D.J., Dávila, A. (2019). Modeling cocaine traffickers and counterdrug interdiction forces as a complex adaptive system. Proceedings of the National Academy of Sciences USA, 116 (16): 7784-7792. DOI: https://doi.org/10.1073/pnas.1812459116.
Wu, Q., Lane, C. R., Wang, L., Vanderhoof, M. K., Christensen, J. R., & Liu, H. (2019). Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analysis using level‐set method. JAWRA Journal of the American Water Resources Association, 55(2), 354-368.
Schelf K.E., H. Moradkhani, and U. Lall (2019), Atmospheric Circulation Patterns Associated with extreme United States Floods Identified via Machine Learning, Scientific Reports, doi:10.1038/s41598-019-43496-w.
Anderson, S., R. Ogle, G. Tootle and A. Oubeidillah, 2019. Tree-Ring Reconstructions of Streamflow for the Tennessee Valley. Hydrology, 6(2), 34; https://doi.org/10.3390/hydrology6020034.
Wei, Y., Chen, Z., Xiu, C., Yu, B., & Liu, H. (2019). Siting of Dark Sky Reserves in China Based on Multi-source Spatial Data and Multiple Criteria Evaluation Method. Chinese Geographical Science, 29(6), 949-961.
Hameed, M., H. Moradkhani, A. Ahmadalipour, H. Moftakhari, P. Abbaszadeh, A. Alipour (2019), A Review of the 21st Century Challenges in the Food-Energy-Water Security in the Middle East, Water, 11, 682; doi:10.3390/w11040682.
Ahmadi, B., A. Ahmadalipour, G. Tootle, and H. Moradkhani (2019), Remote sensing of water use efficiency and terrestrial drought recovery across the CONUS, Remote Sensing, 11, 731; doi:10.3390/rs11060731
Ahmadi, B., A. Ahmadalipour, and H. Moradkhani (2019), Hydrological Drought Persistence and Recovery in the CONUS: a Multi-stage Framework Considering Water Quantity and Quality, Water Research, 150, 97-10, doi: 10.1016/j.watres.2018.11.052.
Ahmadi, B., and H. Moradkhani (2019), Revisiting Hydrological Drought Propagation and Recovery Considering Water Quantity and Quality, Hydrological Processes, doi: 10.1002/hyp.13417.
Abbaszadeh, P., H. Moradkhani, and D.N. Daescu (2019), The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework, Water Resources Research, 55, doi: 10.1029/2018WR023629.
Anjileli, H., Moftakhari, H.R., Mazdiyasni, O., Norouzi, H., Ashraf, S., Farahmand, A., Bowler, P., Azarderakhsh, M., Huxman, T.E., AghaKouchak, A., (2019) Analyzing high frequency soil respiration using a probabilistic model in a semi‐arid, Mediterranean climate. J. Geophys. Res. Biogeosciences. 124, https://doi.org/10.1029/2018JG004640.
Ahmadalipour, A., H. Moradkhani, A. Casteletti, N. Magliocca (2019), Future drought risk in Africa: Integrating vulnerability, climate change, and population growth, Science of the Total Environment, 662, 672-686, doi: 10.1016/j.scitotenv.2019.01.278.
Abbaszadeh, P., H. Moradkhani, X. Zhan (2019), Downscaling SMAP Radiometer Soil Moisture over the CONUS Using an Ensemble Learning Method, Water Resources Research, 54. doi:10.1029/2018WR023354.
Ahmadalipour, A., H. Moradkhani, M. Kumar (2019), Mortality risk from heat-stress expected to hit poorest nations the hardest, Climatic Change, 152, 3–4, pp 569–579, doi:10.1007/s10584-018-2348-2.
M. Sohrabi, D. Tonina, R. Benjankar, M. Kumar, P. Kormos, D. Marks, and C. Luce, On the role of spatial resolution on snow estimates using a process-based snow model across a range of climatology and elevation, Hydrological Processes, 2019.
