Jeffrey Deems

Research Scientist II


PhD, Colorado State University, 2007


Snow properties; snow hydrology; snow depth mapping; climate change impacts on snow and water resources; LIDAR remote sensing; avalanche formation; hydrologic modeling

  • Integrated Hydrologic Response to Extreme Deposition of the Snow Cover of the Colorado River Basin


Science Liaison, Operation Ice Bridge

Member, NASA Snow Working Group-Remote Sensing, Steering Committee

Member, American Geophysical Union

Member, American Avalanche Association



Painter, T. H., D. F. Berisford, J. W. Boardman, K. J. Bormann, J. S. Deems, F. Gehrke, A. Hedrick, M. Joyce, R. Laidlaw, D. Marks, C. Mattmann, B. McGurk, P. Ramirez, M. Richardson, S. M Skiles, F. C. Seidel, and A. Winstral. 2016. The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo. Remote Sensing of the Environment 184: 139-152. doi:10.1016/j.rse.2016.06.018.


Deems, J. S., P. J. Gadomski, D. Vellone, R. Evanczyk, A. L. LeWinter, K. W. Birkeland, and D. C. Finnegan. 2015. Mapping start zone snow depth with a ground-based lidar to assist avalanche control and forecasting. Cold Regions Science and Technology 120: 197-204, doi:10.1015/j.coldregions.2015.09.002.

Livneh, B., J. S. Deems, B. Buma, J. J. Barsugli, D. Schneider, N. P. Molotch, K. Wolter, and C. A. Wessman. 2015. Catchment response to bark beetle outbreak and dust-on-snow in the Colorado Rocky Mountains. Journal of Hydrology 523: 196-210, doi:10.1016/j.jhydrol.2015.01.039.


Tedesco, M., C. Derksen, J. S. Deems, and J. L. Foster. 2014. Remote sensing of snow depth and snow water equivalent. In Remote Sensing of the Cryosphere, ed. M. Tedesco. Chichester, United Kingdom: John Wiley & Sons, Ltd., doi:10.1002/9781118368909.ch5.

Livneh, B., J. S. Deems, D. Schneider, J. J. Barsugli, and M. P. Molotch. 2014. Filling in the gaps: Inferring spatially distributed precipitation from gauge observations over complex terrain. Water Resources Research 50(11): 8,589-8,610, doi:10.1002/2014WR015442.


Bryant, A. C., T. H. Painter, J. S. Deems, and S. M. Bender. 2013. Impact of dust radiative forcing in snow on accuracy of operational runoff prediction in the Upper Colorado River Basin. Geophysical Research Letters 40(15): 3,945-3,949, doi:10.1002/grl.50773.

Deems, J. S., T. H. Painter, J. J. Barsugli, J. Belnap, and B. Udall. 2013. Combined impacts of current and future dust deposition and regional warming on Colorado River Basin snow dynamics and hydrology. Hydrology and Earth System Sciences 17(11): 4,401-4,413, doi:10.5194/hess-17-4401-2013.

Deems, J. S., T. H. Painter, and D. C. Finnegan. 2013. Lidar measurement of snow depth: a review. Journal of Glaciology 59(215): 467-479, doi:10.3189/2013JoG12J154.


Painter, T. H., S. M. Skiles, J. S. Deems, A. C. Bryant, and C. C. Landry. 2012. Dust radiative forcing in snow of the Upper Colorado River Basin: 1. A 6 year record of energy balance, radiation, and dust concentrations. Water Resources Research 48, W07521, doi:10.1029/2012WR011985.

Skiles, S. M., T. H. Painter, J. S. Deems, A. C. Bryant, and C. C. Landry. 2012. Dust radiative forcing in snow of the Upper Colorado River Basin: 2. Interannual variability in radiative forcing and snowmelt rates. Water Resources Research 48, W07522, doi:10.1029/2012WR011986.


Elsner, M. M., L. Cuo, N. Voisin, J. S. Deems, A. F. Hamlet, J. A. Vano, K. E. B. Mickelson, S.-Y. Lee, and D. P. Lettenmaier. 2010. Implications of 21st century climate change for the hydrology of Washington State. Climatic Change 102: 225-260, doi:10.1007/s10584-010-9855-0.

Lowry, C. S., J. S. Deems, S. P. Loheide II, and J. D. Lundquist. 2010. Linking snowmelt-derived fluxes and groundwater flow in a high elevation meadow system, Sierra Nevada Mountains, California. Hydrological Processes 24(20): 2,821-2,833, doi:10.1002/hyp.7714.

Painter, T. H., J. S. Deems, J. Belnap, A. F. Hamlet, C. C. Landry, B. Udall, B. 2010. Response of Colorado River runoff to dust radiative forcing in snow. Proceedings of the National Academy of Sciences 107(40): 17,125-17,130, doi:10.1073/pnas.0913139107.


Fassnacht, S. R., J. D. Stednick, J. S. Deems, and M. V. Corrao. 2009. Metrics for assessing snow surface roughness from digital imagery. Water Resources Research 45, W00D31, doi:10.1029/2008WR006986.


Deems, J. S., S. R. Fassnacht, and K. J. Elder. 2008. Interannual consistency in fractal snow depth patterns at two Colorado mountain sites. Journal of Hydrometeorology 9(5): 977-988, doi:10.1175/2008JHM901.1.


Deems, J. S., S. R. Fassnacht, and K. J. Elder. 2006. Fractal distribution of snow depth from LiDAR data. Journal of Hydrometeorology 7(2): 285-297, doi:10.1175/JHM487.1.

Fassnacht, S. R., and J. S. Deems. 2006. Measurement Sampling and Scaling for Deep Montane Snow Depth Data. Hydrological Processes 20: 829-838, doi:10.1002/hyp.6119.

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Related Resources

Cooperative Institute for Environmental Sciences (CIRES)

Western Water Assessment

Operation Ice Bridge

NASA Snow Working Group-Remote Sensing, Steering Committee