Center for Complex Hydrosystems Research Publications Archive

Articles from the center, those using its research, and faculty associated with the center.

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Identifying trends in interpretation and responses to hurricane and climate change communication tools   /   Publication

Cass, E., W. Shao, F. Hao, H. Moradkhani, and Y. Elissa (2023), Identifying trends in interpretation and responses to hurricane and climate change communication toolsInternational Journal of Disaster Risk Reduction, doi: 10.1016/j.ijdrr.2023.103752

Recent Advances and New Frontiers in Riverine and Coastal Flood Modeling   /   Publication

Jafarzadegan, K., H. Moradkhani, F. Pappenberger, H. Moftakhari, P. Bates, P. Abbaszadeh, R. Marsooli, C. Ferreira, H. Cloke, F. Ogden, and D. Qingyun (2023), Recent Advances and New Frontiers in Riverine and Coastal Flood ModelingReviews of Geophysics, doi:10.1007/s11625-023-01298-0

Water trading as a tool to combat economic losses in agriculture under climate change   /   Publication

Han, X., P. Deb, N. Magliocca, D. Nadolnyak, H. Moftakhari, R. Pathak, and H.Moradkhani (2023), Water trading as a tool to combat economic losses in agriculture under climate changeSustainability Science, doi:10.1007/s11625-023-01298-0

Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine   /   Publication

Hamidi, E., B. Peter, D. Munoz, H. Moftakhari, and H. Moradkhani (2023), Fast Flood Extent Monitoring with SAR Change Detection Using Google Earth EngineIEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3240097

Drought monitoring by downscaling GRACE-derived terrestrial water storage anomalies: a deep learning approach   /   Publication

Foroumandi, E., V. Nourani, J. Huang, and H.Moradkhani (2023), Drought monitoring by downscaling GRACE-derived terrestrial water storage anomalies: a deep learning approachJournal of Hydrology, doi:10.1016/j.jhydrol.2022.128838

Perspective on uncertainty quantification and reduction in compound flood modeling and forecasting   /   Publication

Abbaszadeh, P., D. Munoz, H. Moftakhari, K. Jafarzadegan, and H. Moradkhani (2022), Perspective on uncertainty quantification and reduction in compound flood modeling and forecastingiScience, doi:10.1016/j.isci.2022.105201

Compound Effects of Flood Drivers, Sea Level Rise, and Dredging Protocols on Vessel Navigability and Wetland   /   Publication

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.

Wildfires in the Arctic and tropical biomes: what is the relative role of climate?   /   Publication

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.

Multi-Level Influences on Center-Pivot Irrigation Adoption in Alabama   /   Publication

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 AlabamaFrontiers in Sustainable Food Systems.

A Multivariate Scaling System is Essential to Characterize the Tropical Cyclones’ Risk   /   Publication

Alipour, A., F. Yarveisi, H. Moftakhari, J.Y., Song, and H. Moradkhani, (2022), A Multivariate Scaling System is Essential to Characterize the Tropical Cyclones’ RiskEarth’s Future, doi: 10.1029/2021EF002635.

How does precipitation data influence the land surface data assimilation for drought monitoring   /   Publication

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.

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