Cooperative Institute for Research in Environmental Sciences at the University of Colorado Boulder

Mark Raleigh

Research Interests

  • Snow hydrology
  • Mountain hydrology
  • Forest-snow interactions
  • Snow and climate
  • Remote sensing
  • Numerical modeling (snow and hydrologic systems)
  • Data assimilation

Current Research

Dr. Raleigh's active areas of research include the following:

  • Forest effects on snowpack properties
  • Development of techniques for improving estimation of snow water equivalent from snow depth
  • Spatial scaling of snow distributions and repeatability of patterns
  • Characterizing climatological persistence of seasonal snow with remote sensing
  • Remote sensing of snow covered area across alpine and subalpine zones
  • Response of snowpack and streamflow to changes in forests and climate


View Publications

  • Webb, RW; Raleigh, MS; McGrath, D; Molotch, NP; Elder, K; Hiemstra, C; Brucker, L; Marshall, HP. (Oct 2020). Within-Stand Boundary Effects on Snow Water Equivalent Distribution in Forested Areas. WATER RESOURCES RESEARCH , 56(10). 10.1029/2019WR024905
  • Rittger, K; Raleigh, MS; Dozier, J; Hill, AF; Lutz, JA; Painter, TH. (Jun 2020). Canopy Adjustment and Improved Cloud Detection for Remotely Sensed Snow Cover Mapping. WATER RESOURCES RESEARCH , 56(6). 10.1029/2019WR024914
  • Smyth, EJ; Raleigh, MS; Small, EE. (May 2020). Improving SWE Estimation With Data Assimilation: The Influence of Snow Depth Observation Timing and Uncertainty. WATER RESOURCES RESEARCH , 56(5). 10.1029/2019WR026853
  • Smyth, EJ; Raleigh, MS; Small, EE. (FEB 2019). Particle Filter Data Assimilation of Monthly Snow Depth Observations Improves Estimation of Snow Density and SWE. WATER RESOURCES RESEARCH, 55(2), 1296-1311. 10.1029/2018WR023400
  • Brucker, L; Hiemstra, C; Marshall, HP; Elder, K; De Roo, R; Mousavi, M; Bliven, F; Peterson, W; Deems, J; Gadomski, P; Gelvin, A; Spaete, L; Barnhart, T; Brandt, T; Burkhart, J; Crawford, C; Datta, T; Erikstrod, H; Glenn, N; Hale, K; Holben, B; Houser, P; Jennings, K; Kelly, R; Kraft, J; Langlois, A; McGrath, D; Merriman, C; Molotch, N; Nolin, A; Polashenski, C; Raleigh, M; Rittger, K; Rodriguez, C; Roy, A; Skiles, M; Small, E; Tedesco, M; Tennant, C; Thompson, A; Uhlmann, Z; Webb, R; Wingo, M. (2018). NASA SNOWEX17 IN SITU MEASUREMENTS AND GROUND-BASED REMOTE SENSING. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 6266-6268.
  • Krinner, G, C Derksen, R Essery, M Flanner, S Hagemann, M Clark, A Hall, H Rott, C Brutel-Vuilmet, H Kim, CB Menard, L Mudryk, C Thackeray, LB Wang, G Arduini, G Balsamo, P Bartlett, J Boike, A Boone, F Cheruy, J Colin, M Cuntz, Y Dai, B Decharme, J Derry, A Ducharne, E Dutra, X Fang, C Fierz, J Ghattas, Y Gusev, V Haverd, A Kontu, M Lafaysse, R Law, D Lawrence, W Li, T Marke, D Marks, M Menegoz, O Nasonova, T Nitta, M Niwano, J Pomeroy, MS Raleigh, G Schaedler, V Semenov, TG Smirnova, T Stacke, U Strasser, S Svenson, D Turkov, T Wang, N Wever, H Yuan, W Zhou and D Zhu. (10-Dec 2018). ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks. GEOSCIENTIFIC MODEL DEVELOPMENT, 11(12), 5027-5049. 10.5194/gmd-11-5027-2018
  • Cristea, NC, I Breckheimer, MS Raleigh, J HilleRisLambers and JD Lundquist. (AUG 2017). An evaluation of terrain-based downscaling of fractional snow covered area data sets based on LiDAR-derived snow data and orthoimagery. WATER RESOURCES RESEARCH, 53(8), 6802-6820. 10.1002/2017WR020799
  • Raleigh, MS and EE Small. (28-Apr 2017). Snowpack density modeling is the primary source of uncertainty when mapping basin-wide SWE with lidar. GEOPHYSICAL RESEARCH LETTERS, 44(8), 3700-3709. 10.1002/2016GL071999
  • Raleigh, MS, Ben Livneh, K Lapo and JD Lundquist. (JAN 2016). How Does Availability of Meteorological Forcing Data Impact Physically Based Snowpack Simulations?. JOURNAL OF HYDROMETEOROLOGY, 17(1), 99-120. 10.1175/JHM-D-14-0235.1
  • Slater, AG, AP Barrett, MP Clark, JD Lundquist and MS Raleigh. (MAY 2013). Uncertainty in seasonal snow reconstruction: Relative impacts of model forcing and image availability. ADVANCES IN WATER RESOURCES, 55, 165-177. 10.1016/j.advwatres.2012.07.006