Articles from the center, those using its research, and faculty associated with the center.
Sun, H., Zhou, B., Zhang, C., Liu, H., & Yang, B. (2020). DSCALE_mod16: A Model for Disaggregating Microwave Satellite Soil Moisture with Land Surface Evapotranspiration Products and Gridded Meteorological Data. Remote Sensing, 12(6), 980.
G.S. Nearing, B.L. Ruddell, A.R. Bennett, C. Prieto, H.V. Gupta; Debates: Does Information Theory Provide a New Paradigm for Earth Science? Hypothesis Testing; Water Resources Research (Q1; IF=2.60), February 2020 (*corresponding author).
Alipour, A. , A. Ahmadalipour, P. Abbaszadeh, and H. Moradkhani (2020), Leveraging machine learning for predicting flash flood damages in the Southeast US, Environmental Research Letter., doi:10.1088/1748-9326/ab6edd
Ligmann-Zielinska, A., Siebers, P.O., Magliocca, N.R., Parker, D.C., Grimm, V., Du, J., Cenek, M., Radchuk, V., Arbab, N.N., Li, S., Berger, U., Paudel, R., Robinson, D.T., Jankowski, P., and An, L. (2020). One size does not fit all’: a roadmap of purpose-driven mixed-method pathways for sensitivity analysis of agent-based models. Journal of Artificial Societies and Social Simulation, 23(1): 6. DOI: https://doi.org/10.18564/jasss.4201.
Gerbens-Leenes, W., Vaca-Jiménez, S. and Mekonnen, M. (2020) Burning Water, Overview of the Contribution of Arjen Hoekstra to the Water Energy Nexus. Water, 12(10), 2844
Maré, F. A., Jordaan, H. and Mekonnen, M. M. (2020) The Water Footprint of Primary Cow–Calf Production: A Revised Bottom-Up Approach Applied on Different Breeds of Beef Cattle. Water, 12(9), 2325.
Khajehei, S., A. Ahmadalipour, W. Shao, and H. Moradkhani (2020), A Place-based Assessment of Flash Flood Hazard and Vulnerability in the Contiguous United States, 10:448, Scientific Reports. doi: 10.1038/s41598-019-57349-z.
Tellman, B., Magliocca, N.R., Turner, B.L.,Verburg, P.H. (2020) Understanding the role of illicit transactions in land-change dynamics. Nature Sustainability, 3: 175-181. DOI: https://doi.org/10.1038/s41893-019-0457-1.
Mantoam, E. J., Angnes, G., Mekonnen, M. M. and Romanelli, T. L. (2020) Energy, carbon and water footprints on agricultural machinery. Biosystems Engineering, 198, 304-322.
Kim, B.F., Santo, R.E., Scatterday, A.P., Fry, J.P., Synk, C.M., Cebron, S., Mekonnen, M.M., Hoekstra, A.Y., De Pee, S., Bloem, M., Neff, R.A. and Nachman, K.E. (2020) Country-specific dietary shifts to mitigate climate and water crises, Global Environmental Change 101926.
Jafazadegan, K., V. Merwade, and H. Moradkhani (2020), Combining clustering and classification for the regionalization of environmental model parameters: Application to floodplain mapping in data-scarce regions, Environmental Modelling and Software. doi: 10.1016/j.envsoft.2019.104613.
Sanders, B.F., Schubert, J.E., Goodrich, K., Houston, D., Feldman, D.L., Basolo, V., Luke, A., Boudreau, D., Karlin, B., Cheung, W., Contreras, S., Reyes, A., Eguiarte, A., Serrano, K., Allaire, M., Moftakhari, H., AghaKouchak, A., Matthew, R.A., (2020). Collaborative Modeling with Fine Resolution Data Enhances Flood Awareness, Minimizes Differences in Flood Perception, and Produces Actionable Flood Maps. Earth’s Future 8 (1). https://doi.org/10.1029/2019EF001391.
Zarekarizi, M, H. Yan, A. Ahmadalipour, H. Moradkhani (2019), Toward an operational probabilistic drought forecasting system using the ensemble data assimilation and Bayesian multivariate modeling, AGU Monograph on Global Drought Monitoring.
Ahmadalipour, A., and H. Moradkhani (2019), A data-driven analysis of flash flood hazard, fatalities, and damages over the CONUS during 1996-2017, Journal of Hydrology, doi: 10.1016/j.jhydrol.2019.124106..
Sadeghi, S., G. Tootle, E. Elliott, V. Lakshmi, M. Therrell, and A. Kalra, 2019. Implications of the 2015–2016 El Niño on Coastal Mississippi-Alabama Streamflow and Agriculture. Hydrology, 6(4), 96; https://doi.org/10.3390/hydrology6040096.
