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

Mark Raleigh

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  • Smyth, EJ; Raleigh, MS; Small, EE (2019), Particle Filter Data Assimilation of Monthly Snow Depth Observations Improves Estimation of Snow Density and SWE. Version: 1 WATER RESOURCES RESEARCH 55 (2) 1296-1311, issn: 0043-1397, doi: 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. Version: 1 IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 6266-6268, Valencia, SPAIN, JUL 22-27, 2018, issn: 2153-6996, isbn: 978-1-5386-7150-4
  • 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 (2018), ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks. Geosci. Model Dev. Version: 1 11 (12) 5027-5049, issn: 1991-959X, ids: HD6OY, doi: 10.5194/gmd-11-5027-2018
  • Cristea, NC, I Breckheimer, MS Raleigh, J HilleRisLambers and JD Lundquist (2017), An evaluation of terrain-based downscaling of fractional snow covered area data sets based on LiDAR-derived snow data and orthoimagery. Water Resour. Res. Version: 1 53 (8) 6802-6820, issn: 0043-1397, ids: FH5JN, doi: 10.1002/2017WR020799
  • Raleigh, MS and EE Small (2017), Snowpack density modeling is the primary source of uncertainty when mapping basin-wide SWE with lidar. Geophys. Res. Lett. Version: 1 44 (8) 3700-3709, issn: 0094-8276, ids: EV5ZA, doi: 10.1002/2016GL071999
  • Raleigh, MS, Ben Livneh, K Lapo and JD Lundquist (2016), How Does Availability of Meteorological Forcing Data Impact Physically Based Snowpack Simulations?. J. Hydrometeorol. Version: 1 17 (1) 99-120, issn: 1525-755X, ids: CZ9FH, doi: 10.1175/JHM-D-14-0235.1
  • Slater, AG, AP Barrett, MP Clark, JD Lundquist and MS Raleigh (2013), Uncertainty in seasonal snow reconstruction: Relative impacts of model forcing and image availability. Adv. Water Resour. Version: 1 55 165-177, issn: 0309-1708, ids: 139SQ, doi: 10.1016/j.advwatres.2012.07.006