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Tyler J. Smith

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Tyler J. Smith
Assistant Professor
230 Rowley Laboratories
Clarkson University
Box 5710, Potsdam, NY 13699-5710
Phone: 315-268-2243
E-mail: tsmith@clarkson.edu

EDUCATION
•    Ph.D. in Ecology & Environmental Sciences (May 2012), Department of Land Resources & Environmental Sciences, Montana State University, Bozeman, MT.
•    M.S. in Civil Engineering (December 2008), Department of Civil & Environmental Engineering, Montana State University, Bozeman, MT.
•    B.S. in Civil Engineering, Bio-Resources Engineering Option (May 2006), Department of Civil & Environmental Engineering, Montana State University, Bozeman, MT.

APPOINTMENTS                                                                                        
•    Assistant Professor, Department of Civil & Environmental Engineering, Clarkson University (July 2012 – present)
•    Graduate Research Assistant, Department of Land Resources & Environmental Sciences, Montana State University (January 2007 – May 2012)
•    Visiting Graduate Research Assistant, School of Civil & Environmental Engineering, University of New South Wales (June 2009 – May 2010)

RESEARCH INTERESTS
• Integrative watershed studies driven by quantitative analysis
• Use of Bayesian statistical approaches to environmental systems modeling
• Collaboration with experimentalists to improve hydrologic model realism
• Hydrologic modeling in data-scarce regions and/or regions under change

PUBLICATIONS                       
Peer-Reviewed Articles

1. Smith, T., L. Marshall, and A. Sharma (2016). Diagnostic calibration and cross-catchment transferability of a simple process-consistent hydrologic model, Hydrological Processes, doi: 10.1002/hyp.10955.
2. Tang, Y., L. Marshall, A. Sharma, and T. Smith (2016). Tools for investigating the prior distribution in Bayesian hydrology, Journal of Hydrology, doi: 10.1016/j.jhydrol.2016.04.032.
3. Smith, T., L. Marshall, and A. Sharma (2015). Modeling residual hydrologic errors with Bayesian inference, Journal of Hydrology, doi: 10.1016/j.jhydrol.2015.05.051.
4. Smith, T., L. Marshall, and A. Sharma (2014). Predicting hydrologic response through a hierarchical catchment knowledgebase: A Bayes empirical Bayes approach, Water Resources Research, 50, 1189-1204, doi: 10.1002/2013WR015079.
5. Smith, T., L. Marshall, and B. McGlynn (2014). Calibrating hydrologic models in flow-corrected time, Water Resources Research, 50, 748-753, doi: 10.1002/2013WR014635.
6. Smith, T., L. Marshall, B. McGlynn, and K. Jencso (2013). Using field data to inform and evaluate a new model of catchment hydrologic connectivity, Water Resources Research, 49, 6834-6846, doi: 10.1002/wrcr.20546.
7. Smith, T., A. Sharma, L. Marshall, R. Mehrotra, and S. Sisson (2010). Development of a formal likelihood function for improved Bayesian inference of ephemeral catchments, Water Resources Research, 46, W12551, doi: 10.1029/2010WR009514.
8. Smith, T. J. and L. A. Marshall (2010). Exploring uncertainty and model predictive performance concepts via a modular snowmelt-runoff modeling framework. Environmental Modelling & Software, 25(6), 691-701.
9. Smith, T. J. and L. A. Marshall (2009). A Conceptual Precipitation-Runoff Modeling Suite: Model Selection, Calibration and Predictive Uncertainty Assessment. In Anderssen, R. S., R. D. Braddock and L. T. H. Newham (eds) 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. July 2009, pp. 3556-3562. ISBN: 978-0-9758400-7-8. http://www.mssanz.org.au/modsim09/I8/smith_tj.pdf.
10. Smith, T. J. and L. A. Marshall (2008). Bayesian methods in hydrologic modeling: A study of recent advancements in Markov chain Monte Carlo techniques, Water Resources Research, 44, W00B05, doi: 10.1029/2007WR006705.

Articles in preparation/review
1. Marshall, L., K. Weber, T. Smith, M. Greenwood, and A. Sharma (in review). On the relationship between optimized models and hydrologic signatures towards improved catchment regionalization. Submitted to Journal of Hydrology.
2. Jayathilake, D. and T. Smith (in prep). Predicting the temporal transferability of model parameters through a hydrologic signature analysis. To be submitted to Journal of Hydrology.
3. Smith, T., L. Marshall, and B. McGlynn (in prep). An alternate view of classification - Catchments as blood types. To be submitted to Hydrological Processes.

TEACHING
Courses taught
CE 330: Water Resources Engineering I, Fall 2012, Fall 2013, Fall 2015
CE 430: Water Resources Engineering II, Spring 2014, Spring 2015, Spring 2016
CE 491: Senior Design (Water Resources), Spring 2016
CE 569: Watershed Analysis, Fall 2014, Fall 2016

tyler smith