Mark Raleigh

Mark Raleigh

Western Water Assessment
CIRES/University of Colorado Boulder
216 UCB
Boulder, CO 80309
Personal Webpage


Mark Raleigh's research focuses on the hydrology of snow-dominated mountainous catchments. Much of his prior work revolved around a central theme: the relative lack of data in mountainous areas is a problem for testing how different models represent snowpack mass, energy budgets, and snowmelt. Now as a postdoctoral researcher at CU Boulder, he is interested in research-to-operations (R2O) projects in western U.S. basins. To that end, he is working in the Upper Colorado River Basin where he is investigating vulnerabilities of existing forecasting models (e.g., representation of dust-enhanced snowmelt) as well as opportunities to improve forecasting methods through the integration of advanced data streams (e.g., emerging high resolution snow depth data). This work necessitates examination of multiple modeling alternatives, consideration of many other aspects of the hydrologic system (e.g., snow density and its physical controls), and collaboration with water forecasters and their stakeholders.

Mark is a native of Colorado, and as such has a natural love of mountains, snow, and the outdoors. At CU Boulder, he is affiliated with the CIRES Visiting Fellow Program and the Department of Geological Sciences. Prior to coming to CU Boulder, Mark was a postdoctoral researcher in the Advanced Study Program at the National Center for Atmospheric Research (NCAR). He is thrilled to have the opportunity to work on projects related to hydrology and snow in his home state.

Education and Training

2014-present, Registered Professional Engineer (PE), Civil Engineering, State of Colorado
2013, Ph.D., Civil and Environmental Engineering, University of Washington, Seattle, WA
2009, M.S. Civil and Environmental Engineering, University of Washington, Seattle, WA
2005, B.S. Civil Engineering, magna cum laude, Gonzaga University, Spokane, WA

Recent Publications

Raleigh, M.S., B. Livneh, K. Lapo, and J.D. Lundquist (2016). How does availability of meteorological forcing data impact physically-based snowpack simulations? Journal of Hydrometeorology, 17, 99-120, doi: 10.1175/JHM-D-14-0235.1.

Raleigh, M.S., J. D. Lundquist, and M.P. Clark (2015). Exploring the impact of forcing error characteristics on physically based snow simulations within a global sensitivity analysis framework. Hydrology and Earth Systems Sciences, 19, 3153-3179, doi:10.5194/hess-19-3153-2015.

Lapo, K., L. Hinkelman, M. S. Raleigh, and J.D. Lundquist (2015). Impact of errors in the surface radiation balance on simulations of snow water equivalent and snow surface temperature. Water Resources Research, 51, doi: 10.1002/2014WR016259.

Dickerson-Lange, S.E., J. A. Lutz., K. A. Martin, M. S. Raleigh, R. Gersonde, and J.D. Lundquist (2015). Evaluating observational methods to quantify snow duration under diverse forest canopies. Water Resources Research, 51, doi: 10.1002/2014WR01574.

Landry, C.C., K.A. Buck, M.S. Raleigh, and M.P. Clark (2014). Mountain system monitoring at Senator Beck Basin, San Juan Mountains, Colorado: A new integrative data source to develop and evaluate models of snow and hydrologic processes. Water Resources Research, 50, doi: 10.1002/2013WR013711.