Yonas K. Demissie, Ph.D.

Affiliations: 
2008 University of Illinois, Urbana-Champaign, Urbana-Champaign, IL 
Area:
Civil Engineering, Environmental Engineering, Computer Science
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Cross-listing: Envirotree

Parents

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Albert J. Valocchi grad student 2008 UIUC
 (Data-driven models to enhance physically-based groundwater model predictions.)
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Publications

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Moges E, Demissie Y, Li H. (2020) Uncertainty propagation in coupled hydrological models using winding stairs and null-space Monte Carlo methods Journal of Hydrology. 589: 125341
Yigzaw W, Li H, Fang X, et al. (2019) A Multilayer Reservoir Thermal Stratification Module for Earth System Models Journal of Advances in Modeling Earth Systems. 11: 3265-3283
Mortuza R, Moges E, Demissie Y, et al. (2019) Historical and future drought in Bangladesh using copula-based bivariate regional frequency analysis Theoretical and Applied Climatology. 135: 855-871
Yigzaw W, Li H, Demissie Y, et al. (2018) A New Global Storage‐Area‐Depth Data Set for Modeling Reservoirs in Land Surface and Earth System Models Water Resources Research. 54
Wan W, Zhao J, Li H, et al. (2018) A Holistic View of Water Management Impacts on Future Droughts: A Global Multimodel Analysis Journal of Geophysical Research. 123: 5947-5972
Ye S, Li HY, Leung LR, et al. (2017) Understanding Flood Seasonality and Its Temporal Shifts within the Contiguous United States Journal of Hydrometeorology. 18: 1997-2009
Demissie Y, Yan E, Wu M. (2017) Hydrologic and water quality impacts of biofuel feedstock production in the Ohio River Basin Gcb Bioenergy. 9: 1736-1750
Moges E, Demissie Y, Li H. (2016) Hierarchical mixture of experts and diagnostic modeling approach to reduce hydrologic model structural uncertainty Water Resources Research. 52: 2551-2570
Demissie Y, Valocchi A, Cai X, et al. (2015) Parameter Estimation for Groundwater Models under Uncertain Irrigation Data. Ground Water. 53: 614-25
Li S, Xiong L, Li HY, et al. (2015) Attributing runoff changes to climate variability and human activities: uncertainty analysis using four monthly water balance models Stochastic Environmental Research and Risk Assessment
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