Sc.D., Civil Engineering, Massachusetts Institute of Technology, 1990
My research and teaching is in the area of surface water hydrology. I focus on advancing the capability for hydrologic prediction by developing models that take advantage of new information and process understanding enabled by new technology. This includes the use of hydrologic and geographic information systems and digital elevation models that take advantage of spatially distributed information for hydrologic prediction. I have contributed to advances in terrain analysis for hydrology, terrain stability mapping and stream sediment inputs, geomorphology, stochastic and nonparametric statistical methods in hydrology, and snow hydrology. Software developed includes a terrain stability mapping ArcView extension, geographic information system software for terrain analysis and channel network extraction, and a snowmelt model.
A unified approach to hydrologic modeling: Part 2 Comparison of alternative process representations. Clark, M., Nijssen, B., Lundquist, J., Kavetski, D., Rupp, D., Gutmann, E., Wood, A., Gochis, D., Rasmussen, R., Tarboton, D., Mahat, V., Flerchinger, G., and D. Marks (2015): Water Resources Research
The Initial Design of Data Sharing Infrastructure for the Critical Zone Observatory. Zaslavsky, I., T. Whitenack, M. Williams, D. G. Tarboton, K. Schreuders, and A. Aufdenkampe (2011): Proceedings of the Environmental Information Management Conference, Santa Barbara, CA, 28-29 September, EIM'2011, pp. 145-150 Cross-CZO National
Development of a Community Hydrologic Information System. Tarboton, D. G., J. S. Horsburgh, D. R. Maidment, T. Whiteaker, I. Zaslavsky, M. Piasecki, J. Goodall, D. Valentine and T. Whitenack (2009): Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation, July 2009, p.988-994. National
A Relational Model for Environmental and Water Resources Data. Horsburgh, J. S., D. G. Tarboton, D. R. Maidment and I. Zaslavsky (2008): Water Resour. Res., 44: W05406. National
Papers and books that explicitly acknowledge a CZO grant are highlighted in PALE ORANGE.
The Essential Terrestrial Variables (ETV’s) in Support of a National Framework for Numerical Watershed Prediction (Invited). Duffy, C., Leonard, L.N., Ahalt, S., Idaszak, R., Tarboton, D., Hooper, R.P., Band, L.E. (2012): AGU Annual Fall Conference Proceedings
CZO Display File Specification. Whitenack, T., Zaslavsy, I., Tarboton, D., and Williams, M. (2011): CZO Central Data Management Project National
Development of an integrated information system for Critical Zone Observatory data . Whitenack, T , Williams, M W, Tarboton, D G, Zaslavsky, I, Durcik, M, Lucas, R G, Dow, C, Meng, X, Bills, B, Leon, M, Yang, C, Arnold, M, Aufdenkampe, A K, Schreuders, K, Alvarez, O. (2010): Fall Meeting, American Geophysical Union. December 2010. Abstract IN31B-1289 Cross-CZO National