Bio

Dr. Jason Davison is an Assistant Professor in the Department of Civil Engineering at The Catholic University of America. Previously, he was a Post-Doctoral Scientist at Aquanty Inc., where he researched Canada's water resources and the impact of global climate change. Jason received his PhD in Earth and Environmental Sciences from the University of Waterloo in 2017, and his research focused on integrated atmosphere, surface, and subsurface water flow models. He received his M.S. in Environmental Fluid Mechanics and Hydrology from Stanford University and his B.S. in Civil and Environmental Engineering from the Georgia Institute of Technology. Jason’s research interests include water cycle modeling, environmental policy, continental scale hydrology, and climate change.

For more information go to Dr. Davison's Research Page.

Representative Publications

Davison, J. H., H. Hwang, E. A. Sudicky, D.V. Mallia, and J. C. Lin, 2018, Full Coupling Between the Atmosphere, Surface and Subsurface for Integrated Hydrologic Simulation, Journal of Advances in Modeling Earth Systems. http://dx.doi.org/10.1002/2017MS001052

Miller, K. L., S. J. Berg, J. H. Davison, E. A. Sudicky, P. A. Forsyth, 2017, Efficient Uncertainty Quantification in Fully-Integrated Surface and Subsurface Hydrologic Simulations, Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2017.10.023

Davison, J.H., 2016, Incorporating Advanced Surface and Subsurface Processes in Mesoscale Climate Models. University of Waterloo, PhD Thesis. http://hdl.handle.net/10012/10904 

Fatichi S., Vivoni E.R., Mirus B., Ogden F., Gochis D., Ivanov V. Y., Downer C. W., Camporese M., Davison J. H., Ebel B., Jones N., Kim J., Kollet S., Niswonger R., Restrepo P., Rigon R., Tarboton D., 2016, An overview of current applications, challenges, and future trends in distributed process-based models in hydrology. Journal of Hydrology. http://dx.doi.org/10.1016/j.jhydrol.2016.03.026

Davison, J. H., H. Hwang, E. A. Sudicky, and J. C. Lin, 2015, Coupled Atmospheric, Land Surface, and Subsurface Modeling: Exploring Water and Energy Feedbacks in Three-Dimensions. Advances in Water Resources. http://dx.doi.org/10.1016/j.advwatres.2015.09.002

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