Articles from the center, those using its research, and faculty associated with the center.
Zhang, B., S. Wang, H. Moradkhani, L. Slater, and J. Liu (2022), A Vine Copula-Based Ensemble Projection of Precipitation Intensity–Duration–Frequency Curves at Sub-Daily to Multi-Day Time Scales ,Water Resource Research, doi: 10.1029/2022WR032658
Abbaszadeh, P., D. Munoz, H. Moftakhari, K. Jafarzadegan, and H. Moradkhani (2022), Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting, iScience, doi:10.1016/j.isci.2022.105201
Muñoz DF, H. Moftakhari, M. Kumar, and H. Moradkhani (2022), Compound Effects of Flood Drivers, Sea Level Rise, and Dredging Protocols on Vessel Navigability and Wetland Inundation Dynamics, Frontiers in Marine Science, 9:906376. doi: 10.3389/fmars.2022.906376.
Engstrom, J., P. Abbaszadeh, D. Keellings, P. Deb, and H. Moradkhani, (2022), Wildfires in the Arctic and tropical biomes: what is the relative role of climate?, Natural Hazards, doi: 10.1007/s11069-022-05452-2.
Price, A., R. Pathak, G. Guthrie, M. Kumar, H. Moftakhari, H. Moradkhani, D. Nadolnyak, and N. Magliocca (2022), Multi-Level Influences on Center-Pivot Irrigation Adoption in Alabama, Frontiers in Sustainable Food Systems.
Alipour, A., F. Yarveisi, H. Moftakhari, J.Y., Song, and H. Moradkhani, (2022), A Multivariate Scaling System is Essential to Characterize the Tropical Cyclones’ Risk, Earth’s Future, doi: 10.1029/2021EF002635.
Deb, P., P. Abbaszadeh, and H. Moradkhani, (2022), An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimation, Agricultural and Forest Meteorology, doi:10.1016/j.agrformet.2022.108982
Alipour, A., K., Jafarzadegan, and H. Moradkhani, (2022), Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping, Environmental Modeling and Software, doi:10.1016/j.envsoft.2022.105398.
Gavahi, K., P. Abbaszadeh, and H. Moradkhani, (2022), How does precipitation data influence the land surface data assimilation for drought monitoring?, Science of the Total Environment, doi:10.1016/j.scitotenv.2022.154916.
Jafarzadegan, K., D. Muñoz, H. Moftakhari, J. Gutenson, G. Savant, H. Moradkhani, (2022), Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers, Nat. Hazards Earth Syst. Sci., doi:10.5194/nhess-22-1419-2022.
Deb, P., H. Moradkhani, X. Han, P. Abbaszadeh, L. Xu (2022), Assessing Irrigation Mitigation Impacts on Crop Yields with and Integrated Modeling Framework, Journal of Hydrology, doi:10.1016/j.jhydrol.2022.127760.
Song, J., P. Abbaszadeh, P. Deb, and H. Moradkhani (2022), Unraveling the relationship between tropical storms and agricultural drought, Earth’s Future, doi: 10.1029/2021EF002417.
Abbaszadeh, P., K. Gavahi, A. Alipour, P. Deb, H. Moradkhani (2022), Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction, Agricultural and Forest Meteorology, 314, 108773, doi:10.1016/j.agrformet.2021.108773.
Karimiziarani, M., Jafarzadegan, K., Abbaszadeh, P., Shao, W., H. Moradkhani (2022), Hazard Risk Awareness and Disaster Management: Extracting the Information Content of Twitter Data, Sustainable Cities and Society, doi:10.1016/j.scs.2021.103577.
Alborzi, A., Zhao, Y., Nazemi, A., Mirchi, A., Mallakpour, I., Moftakhari, H. R., Ashraf, S., , Izadi, R., AghaKouchak, A. (2022). The tale of three floods: From extreme events and cascades of highs to anthropogenic floods. Weather and Climate Extremes, 100495, https://doi.org/10.1016/j.wace.2022.100495