Spatio-temporal snowmelt variability across the headwaters of the Southern Rocky Mountains

Abstract

Understanding the rate of snowmelt helps inform how water stored as snow will transform into streamflow. Data from 87 snow telemetry (SNOTEL) stations across the Southern Rocky Mountains were used to estimate spatio-temporal melt factors. Decreases in snow water equivalent were correlated to temperature at these monitoring stations for eight half-month periods from early March through late June. Time explained 70% of the variance in the computed snow melt factors. A residual linear correlation model was used to explain subsequent spatial variability. Longitude, slope, and land cover type explained further variance. For evergreen trees, canopy density was relevant to find enhanced melt rates; while for all other land cover types, denoted as non-evergreen, lower melt rates were found at high elevation, high latitude and north facing slopes, denoting that in cold environments melting is less effective than in milder sites. A change in the temperature sensor about mid-way through the time series (1990 to 2013) created a discontinuity in the temperature dataset. An adjustment to the time series yield larger computed melt factors.

Keywords

melt / SWE / temperature / SNOTEL / temperature sensor change

References

[1] Anderson E A (2006). Snow Accumulation and Ablation Model – SNOW-17. Update of technical memorandum NWS HYDRO-17 (National weather service river forecast system – snow accumulation and ablation model), Silver Springs, MD, National Oceanographic and Atmospheric Administration, 44pp

[2] Avanzi F, De Michele C, Ghezzi A, Jommi C, Pepe M (2014). A processing-modeling routine to use SNOTEL hourly data in snowpack dynamic models. Adv Water Resour, 73: 16–29

[3] Brubaker K, Rango A, Kustas W (1996). Incorporating radiation inputs into the snowmelt runoff model. Hydrol Processes, 10(10): 1329–1343

[4] Colbeck S (1979). Water-flow through heterogeneous snow. Cold Reg Sci Technol, 1(1): 37–45

[5] Cooley K, Palmer P (1997). Characteristics of snowmelt from NRCS SNOTEL (SNOwTELemetry) sites. Proceedings of the 65th Annual Western Snow Conference, Banff, Alberta, 11pp

[6] Daly S F, Davis R E, Ochs E, Pangburn T (2000). An approach to spatially distributed snow modeling of the Sacramento and San Joaquin Basins, California. Hydrol Processes, 14(18): 3257–3271

[7] DeWalle D, Henderson Z, Rango A (2002). Spatial and temporal variations in snowmelt degree-day factors computed from SNOTEL data in the Upper Rio Grande basin. Proceedings of the 70th Western Snow Conference, Granby, CO, 73–81

[8] Doesken N J, Judson A (1996). The Snow Booklet. A guide to the science, climatology and measurement of snow in the United States. Department of Atmospheric Sciences, Colorado State University, Fort Collins, Colorado USA, 84 pp

[9] Dressler K A, Leavesley G H, Bales R C, Fassnacht S R (2006). Evaluation of gridded snow water equivalent and satellite snow cover products for mountain basins in a hydrologic model. Hydrol Processes, 20(4): 673–688

[10] Dunne T, Price A, Colbeck S (1976). Generation of runoff from subarctic snowpacks. Water Resour Res, 12(4): 677–685

[11] Fassnacht S R, Deitemeyer D C, Venable N B H (2014). Capitalizing on the daily time step of snow telemetry data to model the snowmelt components of the hydrograph for small watersheds. Hydrol Processes, 28(16): 4654–4668

[12] Fassnacht S R, Dressler K A, Hultstrand D M, Bales R C, Patterson G G (2012). Temporal inconsistencies in coarse-scale snow water equivalent patterns: Colorado River Basin snow telemetry-topography regressions. Pirineos, 167: 165–186

[13] Fassnacht S R, López-Moreno J I, Toro M, Hultstrand D M (2013). Mapping snow cover and snow depth across the lake limnopolar watershed on Byers Peninsula (Livingston Island) in maritime Antarctica. Antarct Sci, 25(2): 157–166

[14] Fassnacht S R, Records R M (2015). Large snowmelt versus rainfall events in the mountains. J Geophys Res, 120: 2375–2381

[15] Fassnacht S R, Sexstone G A, Kashipazha A H, López-Moreno J I, Jasinski M F, Kampf S K, Von Thaden B C (2016). Deriving snow-cover depletion curves for different spatial scales from remote sensing and snow telemetry data. Hydrol Processes, 30(11): 1708–1717

[16] He M, Hogue T S, Franz K J, Margulis S A, Vrugt J A (2011). Characterizing parameter sensitivity and uncertainty for a snow model across hydroclimatic regimes. Adv Water Resour, 34(1): 114–127

[17] Hock R (2003). Temperature index melt modelling in mountain areas. J Hydrol (Amst), 282(1–4): 104–115

[18] Horton R E (1915). The melting of snow. Mon Weather Rev, 43(12): 599–605

[19] Johnson J, Marks D (2004). The detection and correction of snow water equivalent pressure sensor errors. Hydrol Processes, 18(18): 3513–3525

[20] Johnson J B, Schaefer G L (2002). The influence of thermal, hydrologic, and snow deformation mechanisms on snow water equivalent pressure sensor accuracy. Hydrol Processes, 16(18): 3529–3542

[21] Julander R P, Curtis J, Beard A (2007). The SNOTEL Temperature Dataset. Mountain Views Newsletter, 1(2): 4–7

[22] Kampf S K, Richer E E (2014). Estimating source regions for snowmelt runoff in a Rocky Mountain basin: tests of a data-based conceptual modeling approach. Hydrol Processes, 28(4): 2237–2250

[23] Kumar M, Marks D, Dozier J, Reba M, Winstral A (2013). Evaluation of distributed hydrologic impacts of temperature-index and energy-based snow models. Adv Water Resour, 56: 77–89

[24] Leavesley G H (1989). Problems of snowmelt runoff modelling for a variety of physiographic and climatic conditions. Hydrological Sciences, 34(6): 617–634

[25] Legates D R, McCabe G J Jr (1999). Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resour Res, 35(1): 233–241

[26] Linsley R K Jr (1943). A simple procedure for the day-to-day forecasting of runoff from snow-melt. Eos (Wash DC), 24(3): 62–67

[27] López-Moreno J I, Alvera B, Latron J, Fassnacht S R (2010). Instalación y Uso de un Colchón de Nieve para la Monitorización del Manto de Nieve, Cuenca Experimental de Izas (Pirineo Central). Cuadernos de Investigación Geográfica, 36(1): 73–85

[28] Lydon J, Schulz M (1986). Round. Track 4 on Album, Elektra, New York, NY

[29] Ma C, Fassnacht S R, Kampf S K (2016). Homogenization of High Elevation Temperature Data Across Colorado. Oral presentation at the 36th Annual AGU Hydrology Days Conference, Fort Collins, Colorado, March 21–23

[30] Martinec J, Rango A, Roberts R (2008). Snowmelt Runoff Model User’s Manual, Updated Edition 2008, WinSRM Version 1.11. New Mexico State University Agricultural Experiment Station, Special Report 100

[31] Menne M J, Williams C N Jr, Vose R S (2015). United States Historical Climatology Network (USHCN) Daily Dataset. National Climatic Data Center, National Oceanic and Atmospheric Administration, available at:<gt;(last access: 13 November 2015)

[32] Meromy L, Molotch N P, Link T E, Fassnacht S R, Rice R (2013). Subgrid variability of snow water equivalent at operational snow stations in the western USA. Hydrol Processes, 27(17): 2383–2400

[33] Morrisey P (2015). Personal Communication. Idaho Snow Survey Office, Natural Resources Conservation Service, U.S. Department of Agriculture

[34] Nash J E, Sutcliffe J V (1970). River flow forecasting through conceptual models part I — A discussion of principles. J Hydrol (Amst), 10(3): 282–290

[35] Natural Resources Conservation Service (2016a). Snow Telemetry (SNOTEL) Data Collection Network Brochure. National Water and Climate Center, U.S. Department of Agriculture, available at:

[36] Natural Resources Conservation Service (2016b). NRCS: National Water and Climate Center SNOTEL data network. U.S. Department of Agriculture, available at:<gt; (last accessed: 16 December 2016)

[37] Ohmura A (2001). Physical basis for the temperature-based melt-index method. J Appl Meteorol, 40(4): 753–761

[38] Omani N, Srinivasan R, Smith P K, Karthikeyan R (2016). Glacier mass balance simulation using SWAT distributed snow algorithm. Hydrol Sci J,

[39] Oyler J, Dobrowski S Z, Ballantyne A P, Klene A E, Running S W (2015). Artificial amplification of warming trends across the mountains of the Western United States. Geophys Res Lett, 42(1): 153–161

[40] Patterson G G (2016). Seasonal Snowpack Trends about Rocky Mountain National Park. Unpublished Ph.D. dissertation, Watershed Science, Colorado State University, Fort Collins, Colorado USA, 105pp+ 1 appendix

[41] Pielke R A Sr, Stohlgren T, Schell L, Parton W, Doesken N, Redmond K, Moeny J, McKee T, Kittel T G F (2002). Problems in evaluating regional and local trends in temperature: an example from eastern Colorado, USA. Int J Climatol, 22(4): 421–434

[42] Rango A, Martinec J (1995). Revisiting the degree-day method for snowmelt computations. J Am Water Resour Assoc, 31(4): 657–669

[43] Richer E E, Kampf S K, Fassnacht S R, Moore C (2013). Spatiotemporal index for analyzing controls on snow climatology: application in the Colorado Front Range. Phys Geogr, 34: 85–107

[44] Sexstone G A, Fassnacht S R (2014). What drives basin scale spatial variability of snowpack properties in Northern Colorado? Cryosphere, 8(2): 329–344

[45] Tobin C, Schaefli B, Nicotina L, Simoni S, Barrenetxea G, Smith R, Parlange M, Rinaldo A (2013). Improving the degree-day method for sub-daily melt simulations with physically-based diurnal variations. Adv Water Resour, 55: 149–164

[46] U.S. Army Corps of Engineers (1956). Snow Hydrology. Summary report of the snow investigation, North Pacific Division, Portland, OR, 437pp

[47] U.S. Geological Survey (2016). The USGS Land Cover Institute (LCI). U.S. Department of the Interior, available at:<gt;

[48] Valéry A, Andréassian V, Perrin C (2014). As simple as possible but not simpler: what is useful in a temperature-based snow-accounting routine? Part 2- Sensitivity analysis of the Cemaneige snow accounting routine on 380 catchments. Journal of Hydrology, 517: 1176–1187

[49] Webb R W, Fassnacht S R, Gooseff M N (in review). Defining the Diurnal Pattern of Snowmelt using a Gamma Distribution Function. Journal of the American Water Resources Association, (JAWRA-16-0153-P) (submitted July 2016)

[50] Zeinivand H, De Smedt F (2009). Hydrological modeling of snow accumulation and melting on river basin scale. Water Resources Management, 23(11): 2271–2287

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