Articles from the center, those using its research, and faculty associated with the center.
Moftakhari, H. R., Schubert, J., AghaKouchak, A., Matthew, R. A., & Sanders, B. F. (2019). Linking Statistical and Hydrodynamic Modeling for Compound Flood Hazard Assessment in Tidal Channels and Estuaries. Advances in Water Resources 128, 28-38, https://doi.org/10.1016/j.advwatres.2019.04.009.
Sun, H., Cai, C., Liu, H., & Yang, B. (2019). Microwave and Meteorological Fusion: A method of Spatial Downscaling of Remotely Sensed Soil Moisture. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(4), 1107-1119.
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.
