Articles from the center, those using its research, and faculty associated with the center.
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
P. Wagle, P. Raghav*, M. Kumar, and S. Gunter, Influence of water use efficiency parameterizations on flux variance similarity-based partitioning of evapotranspiration, Agricultural and Forest Meteorology, 2022
K. Salvi** and M. Kumar, Rainfall-induced hydroplaning risk over road infrastructure of the continental USA, PLoSOne, 2022
P. Raghav*, P. Wagle, M. Kumar, T. Banerjee, J. P. Neel, Vegetation index-based partitioning of evapotranspiration is deficient in grazed systems, Water Resources Research, 2022
N. Moragoda, M. Kumar, and S. Cohen, Representing the role of soil moisture on erosion resistance in sediment models: Challenges and opportunities, Earth-Science Reviews, 2022
J. Park*, M. Kumar, C. Lane, and N. Basu, Seasonality of inundation in geographically isolated wetlands across the United States, Environmental Research Letters, 2022
A. Tashie**, T. Pavelsky, and M. Kumar, A calibration-free groundwater module for improving predictions of low flows, Water Resources Research, 2022.
Xiuzhi Chen, Chang Liu, Pieter van Oel, Mesfin Mergia Mekonnen, Kelly R. Thorp, Tuo Yin, Jinyan Wang, Tahir Muhammad, Yunkai Li,
Water and carbon risks within hydropower development on national scale,Applied Energy,Volume 325,2022,
