Articles | Volume 5, issue 4
https://doi.org/10.5194/tc-5-1083-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-5-1083-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Nov 2011
Research article |
| 30 Nov 2011
Micrometeorological processes driving snow ablation in an Alpine catchment
R. Mott
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
L. Egli
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
T. Grünewald
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
School of Architecture, Civil and Environmental Engineering, Ècole Polytechnique Fèdèrale de Lausanne, Lausanne, Switzerland
N. Dawes
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
C. Manes
Dipartimento di Idraulica, Transporti e Infrastrutture Civili, Politecnico di Torino, Turin, Italy
M. Bavay
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
M. Lehning
WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland
School of Architecture, Civil and Environmental Engineering, Ècole Polytechnique Fèdèrale de Lausanne, Lausanne, Switzerland
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The Cryosphere, 18, 2783–2807, https://doi.org/10.5194/tc-18-2783-2024, https://doi.org/10.5194/tc-18-2783-2024, 2024
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Bertrand Cluzet, Jan Magnusson, Louis Quéno, Giulia Mazzotti, Rebecca Mott, and Tobias Jonas
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We use novel wet snow maps from Sentinel-1 to evaluate simulations of a snow-hydrological model over Switzerland. These data are complementary to available in-situ snow depth observations as they capture a broad diversity of topographic conditions. Wet snow maps allow us to detect a delayed melt onset in the model, which we resolve thanks to an improved parametrization. This opens the way to further evaluation, calibration and data assimilation using wet snow maps.
Huadong Wang, Xueliang Zhang, Pengfeng Xiao, Tao Che, Zhaojun Zheng, Liyun Dai, and Wenbo Luan
The Cryosphere, 17, 33–50, https://doi.org/10.5194/tc-17-33-2023, https://doi.org/10.5194/tc-17-33-2023, 2023
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The internal properties of the snow cover shape the annual hygrogram of northern and alpine regions. This study develops a multi-method approach to measure the evolution of snowpack internal properties. The snowpack hydrological property evolution was evaluated with drone-based ground-penetrating radar (GPR) measurements. In addition, the combination of GPR observations and time domain reflectometry measurements is shown to be able to be adapted to monitor the snowpack moisture over winter.
Michael Schirmer, Adam Winstral, Tobias Jonas, Paolo Burlando, and Nadav Peleg
The Cryosphere, 16, 3469–3488, https://doi.org/10.5194/tc-16-3469-2022, https://doi.org/10.5194/tc-16-3469-2022, 2022
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Rain is highly variable in time at a given location so that there can be both wet and dry climate periods. In this study, we quantify the effects of this natural climate variability and other sources of uncertainty on changes in flooding events due to rain on snow (ROS) caused by climate change. For ROS events with a significant contribution of snowmelt to runoff, the change due to climate was too small to draw firm conclusions about whether there are more ROS events of this important type.
Ryan W. Webb, Keith Jennings, Stefan Finsterle, and Steven R. Fassnacht
The Cryosphere, 15, 1423–1434, https://doi.org/10.5194/tc-15-1423-2021, https://doi.org/10.5194/tc-15-1423-2021, 2021
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We simulate the flow of liquid water through snow and compare results to field experiments. This process is important because it controls how much and how quickly water will reach our streams and rivers in snowy regions. We found that water can flow large distances downslope through the snow even after the snow has stopped melting. Improved modeling of snowmelt processes will allow us to more accurately estimate available water resources, especially under changing climate conditions.
Nora Helbig, Yves Bühler, Lucie Eberhard, César Deschamps-Berger, Simon Gascoin, Marie Dumont, Jesus Revuelto, Jeff S. Deems, and Tobias Jonas
The Cryosphere, 15, 615–632, https://doi.org/10.5194/tc-15-615-2021, https://doi.org/10.5194/tc-15-615-2021, 2021
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The spatial variability in snow depth in mountains is driven by interactions between topography, wind, precipitation and radiation. In applications such as weather, climate and hydrological predictions, this is accounted for by the fractional snow-covered area describing the fraction of the ground surface covered by snow. We developed a new description for model grid cell sizes larger than 200 m. An evaluation suggests that the description performs similarly well in most geographical regions.
Ryan L. Crumley, David F. Hill, Jordan P. Beamer, and Elizabeth R. Holzenthal
The Cryosphere, 13, 1597–1619, https://doi.org/10.5194/tc-13-1597-2019, https://doi.org/10.5194/tc-13-1597-2019, 2019
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In this study we investigate the historical (1980–2015) and projection scenario (2070–2099) components of freshwater runoff to Glacier Bay, Alaska, using a modeling approach. We find that many of the historically snow-dominated watersheds in Glacier Bay National Park and Preserve may transition towards rainfall-dominated hydrographs in a projection scenario under RCP 8.5 conditions. The changes in timing and volume of freshwater entering Glacier Bay will affect bay ecology and hydrochemistry.
Ryan W. Webb, Steven R. Fassnacht, and Michael N. Gooseff
The Cryosphere, 12, 287–300, https://doi.org/10.5194/tc-12-287-2018, https://doi.org/10.5194/tc-12-287-2018, 2018
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We observed how snowmelt is transported on a hillslope through multiple measurements of snow and soil moisture across a small headwater catchment. We found that snowmelt flows through the snow with less infiltration on north-facing slopes and infiltrates the ground on south-facing slopes. This causes an increase in snow water equivalent at the base of the north-facing slope by as much as 170 %. We present a conceptualization of flow path development to improve future investigations.
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We present a study of how melt rates in the California Sierra Nevada respond to a range of warming projected for this century. Snowfall and melt were simulated for historical and modified (warmer) snow seasons. Winter melt occurs more frequently and more intensely, causing an increase in extreme winter melt. In a warmer climate, less snow persists into the spring, causing spring melt to be substantially lower. The results offer insight into how snow water resources may respond to climate change.
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We describe a new model for the evolution of snow temperature, density, and water content on the surface of glaciers and ice sheets. The model encompasses the surface hydrology of accumulation and ablation areas, allowing us to explore the transition from one to the other as thermal forcing varies. We predict year-round liquid water storage for intermediate values of the surface forcing. We also compare our model to data for the vertical percolation of meltwater in Greenland.
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This study demonstrates a robust procedure for accumulating precipitation gauge measurements and provides an analysis of bias corrections of precipitation measurements across experimental sites in different ecoclimatic regions of western Canada. It highlights the need for and importance of precipitation bias corrections at both research sites and operational networks for water balance assessment and the validation of global/regional climate–hydrology models.
Francesco Avanzi, Hiroyuki Hirashima, Satoru Yamaguchi, Takafumi Katsushima, and Carlo De Michele
The Cryosphere, 10, 2013–2026, https://doi.org/10.5194/tc-10-2013-2016, https://doi.org/10.5194/tc-10-2013-2016, 2016
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We investigate capillary barriers and preferential flow in layered snow during nine cold laboratory experiments. The dynamics of each sample were replicated solving Richards equation within the 1-D multi-layer physically based SNOWPACK model. Results show that both processes affect the speed of water infiltration in stratified snow and are marked by a high degree of spatial variability at cm scale and complex 3-D patterns.
Thomas Skaugen and Ingunn H. Weltzien
The Cryosphere, 10, 1947–1963, https://doi.org/10.5194/tc-10-1947-2016, https://doi.org/10.5194/tc-10-1947-2016, 2016
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In hydrological models it is important to properly simulate the spatial distribution of snow water equivalent (SWE) for the timing of spring melt floods and the accounting of energy fluxes. This paper describes a method for the spatial distribution of SWE which is parameterised from observed spatial variability of precipitation and has hence no calibration parameters. Results show improved simulation of SWE and the evolution of snow-free areas when compared with the standard method.
Florian Hanzer, Kay Helfricht, Thomas Marke, and Ulrich Strasser
The Cryosphere, 10, 1859–1881, https://doi.org/10.5194/tc-10-1859-2016, https://doi.org/10.5194/tc-10-1859-2016, 2016
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The hydroclimatological model AMUNDSEN is set up to simulate snow and ice accumulation, ablation, and runoff for a study region in the Ötztal Alps (Austria) in the period 1997–2013. A new validation concept is introduced and demonstrated by evaluating the model performance using several independent data sets, e.g. snow depth measurements, satellite-derived snow maps, lidar data, glacier mass balances, and runoff measurements.
Sarah S. Thompson, Bernd Kulessa, Richard L. H. Essery, and Martin P. Lüthi
The Cryosphere, 10, 433–444, https://doi.org/10.5194/tc-10-433-2016, https://doi.org/10.5194/tc-10-433-2016, 2016
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We show that strong electrical self-potential fields are generated in melting in in situ snowpacks at Rhone Glacier and Jungfraujoch Glacier, Switzerland. We conclude that the electrical self-potential method is a promising snow and firn hydrology sensor, owing to its suitability for sensing lateral and vertical liquid water flows directly and minimally invasively, complementing established observational programs and monitoring autonomously at a low cost.
Z. Zheng, P. B. Kirchner, and R. C. Bales
The Cryosphere, 10, 257–269, https://doi.org/10.5194/tc-10-257-2016, https://doi.org/10.5194/tc-10-257-2016, 2016
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By analyzing high-resolution lidar products and using statistical methods, we quantified the snow depth dependency on elevation, slope and aspect of the terrain and also the surrounding vegetation in four catchment size sites in the southern Sierra Nevada during snow peak season. The relative importance of topographic and vegetation attributes varies with elevation and canopy, but all these attributes were found significant in affecting snow distribution in mountain basins.
L. Scaff, D. Yang, Y. Li, and E. Mekis
The Cryosphere, 9, 2417–2428, https://doi.org/10.5194/tc-9-2417-2015, https://doi.org/10.5194/tc-9-2417-2015, 2015
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The bias corrections show significant errors in the gauge precipitation measurements over the northern regions. Monthly precipitation is closely correlated between the stations across the Alaska--Yukon border, particularly for the warm months. Double mass curves indicate changes in the cumulative precipitation due to bias corrections over the study period. Overall the bias corrections lead to a smaller and inverted precipitation gradient across the border, especially for snowfall.
R. Chen, J. Liu, E. Kang, Y. Yang, C. Han, Z. Liu, Y. Song, W. Qing, and P. Zhu
The Cryosphere, 9, 1995–2008, https://doi.org/10.5194/tc-9-1995-2015, https://doi.org/10.5194/tc-9-1995-2015, 2015
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The catch ratio of Chinese standard precipitation gauge vs. wind speed relationship for different precipitation types was well quantified by cubic polynomials and exponential functions using 5-year field data in the high-mountain environment of the Tibetan Plateau. The daily precipitation measured by shielded gauges increases linearly with that of unshielded gauges. The pit gauge catches the most local precipitation in rainy season and could be used as a reference in most regions of China.
A. Hedrick, H.-P. Marshall, A. Winstral, K. Elder, S. Yueh, and D. Cline
The Cryosphere, 9, 13–23, https://doi.org/10.5194/tc-9-13-2015, https://doi.org/10.5194/tc-9-13-2015, 2015
J. Revuelto, J. I. López-Moreno, C. Azorin-Molina, and S. M. Vicente-Serrano
The Cryosphere, 8, 1989–2006, https://doi.org/10.5194/tc-8-1989-2014, https://doi.org/10.5194/tc-8-1989-2014, 2014
J. L. McCreight and E. E. Small
The Cryosphere, 8, 521–536, https://doi.org/10.5194/tc-8-521-2014, https://doi.org/10.5194/tc-8-521-2014, 2014
E. Kantzas, S. Quegan, M. Lomas, and E. Zakharova
The Cryosphere, 8, 487–502, https://doi.org/10.5194/tc-8-487-2014, https://doi.org/10.5194/tc-8-487-2014, 2014
S. Jörg-Hess, F. Fundel, T. Jonas, and M. Zappa
The Cryosphere, 8, 471–485, https://doi.org/10.5194/tc-8-471-2014, https://doi.org/10.5194/tc-8-471-2014, 2014
G. A. Sexstone and S. R. Fassnacht
The Cryosphere, 8, 329–344, https://doi.org/10.5194/tc-8-329-2014, https://doi.org/10.5194/tc-8-329-2014, 2014
R. Mott, M. Schirmer, M. Bavay, T. Grünewald, and M. Lehning
The Cryosphere, 4, 545–559, https://doi.org/10.5194/tc-4-545-2010, https://doi.org/10.5194/tc-4-545-2010, 2010
S. H. Mernild, I. M. Howat, Y. Ahn, G. E. Liston, K. Steffen, B. H. Jakobsen, B. Hasholt, B. Fog, and D. van As
The Cryosphere, 4, 453–465, https://doi.org/10.5194/tc-4-453-2010, https://doi.org/10.5194/tc-4-453-2010, 2010
Cited articles
Anderton, S. P., White, S. M., and Alvera, B.: Evaluation of spatial variability in snow water equivalent for a high mountain catchment, Hydrol. Process., 18, 435–453, https://doi.org/10.1002/hyp.1319, 2004.
Bartelt, P. and Lehning, M.: A physical SNOWPACK model for Avalanche Warning Services, Pt. I: numerical model, Cold Reg. Sci. Technol., 35, 123–145, 2002.
Bavay, M., Lehning, M., Jonas, T., and L{ö}we, H.: Simulation of future snow cover and discharge in Alpine headwater catchments, Hydrol. Process., 23, 95–108, 2009.
Bellaire, S. and Schweizer, J.: Measuring spatial variations of weak layer and slab properties with regard to snow slope stability, Cold Reg. Sci. Technol., 65, 234–241, https://doi.org/10.1016/j.coldregions.2010.08.013, 2011.
Bewley, D., Essery, R., Pomeroy, J., and Ménard, C.: Measurements and modelling of snowmelt and turbulent heat fluxes over shrub tundra, Hydrol. Earth Syst. Sci., 14, 1331-1340, https://doi.org/10.5194/hess-14-1331-2010, 2010.
Bl{ö}schl, G.: Scaling issues in snow hydrology, Hydrol. Process., 13, 2149–2175, 1999.
Calanca, P.: A note on the roughness length for temperature over melting snow and ice, Q. J. R. Meteorol. Soc., 127, 255–260, 2001.
Clark, M. P., Hendrikx, J., Slater, A. G., Kavetski, D., Anderson, B., Cullen, N. J., Kerr, T., {Ö}rn Hreinsson, E., Woods, R. A.: Representing spatial variability of snow water equivalent in hydrologic and land-surface models: A review, Water Resour. Res., 47, W07539, https://doi.org/10.1029/2011WR010745, 2011.
Clifton, A. and Lehning, M.: Improvement and validation of a snow saltation model using wind tunnel measurements, Earth Surf. Proc. Land., 33, 2156–2173, 2008.
Cline, D. W.: Snow surface energy exchanges and snowmelt at a continental, midlatitude Alpine site, Water Resour. Res., 33, 689–701, https://doi.org/10.1029/97WR00026, 1997.
Dadic, R., Mott, R., Lehning, M., and Burlando, P.: Wind Influence on Snow Depth Distribution and Accumulation over Glaciers, J. Geophys. Res., 115, F01012, https://doi.org/10.1029/2009JF001261, 2010.
Dickinson, W. T. and Whiteley, H. R.: A sampling scheme for shallow snow packs, Bulletin of the International Association of Hydrological Sciences, 16, 247–258, 1972.
Doorschot, J., Lehning, M., and Vrouwe, A.: Field measurements of snow drift threshold and mass fluxes, and related model simulations, Bound.-Lay. Meteorol., 113, 347–368, 2004.
Egli, L., Jonas, T., Gr{ü}newald, T., Schirmer, M., and Burlando, P.: Dynamics of snow ablation in a small Alpine catchment observed by repeated terrestrial laser scans, Hydrol. Process., https://doi.org/10.1002/hyp.8244, 2011.
Essery, R.: Modelling fluxes of momentum, sensible heat and latent heat over heterogeneous snowcover, Q. J. roy. meteor. soc., 123, 1867–1883, 1997.
Essery, R., Granger, R., and Pomeroy, J. W.: Boundary-layer growth and advection of heat over snow and soil patches: modelling and parameterization, Hydrol. Process., 20, 953–967, 2006.
Fierz, C. and Lehning, M.: Assessment of the microstructure-based snow-cover model SNOWPACK: thermal and mechanical properties, Cold Reg. Sci. Technol., 33, 123–131, 2001.
Fujita, K., Hiyama, K., Iida, H., and Ageta, Y.: Self-regulated fluctuations in the ablation of a snow patch over four decades, Water Resour. Res., 46, W11541, https://doi.org/10:1029/2009WR008383, 2010.
Granger, R. J., Pomeroy, J. W., and Parvianen, J.: Boundary layer integration approach to advection of sensible heat to a patchy snowcover, Hydrol. Process., 16, 3559–3569, 2002.
Granger, R. J., Pomeroy, J. W., and Essery, R.: Boundary-layer growth and advection of heat over snow and soil patches: field observations, Hydrol. Process., 20, 953–967, 2006.
Groot Zwaaftink, C. D., L{ö}we, H., Mott, R., Bavay, M., and Lehning, M..: Drifting snow sublimation: a high resolution 3D model with temperature and moisture feedbacks, J. Geophys. Res., 116, D16107, https://doi.org/10.1029/2011JD015754, 2011.
Grünewald, T., Schirmer, M., Mott, R., and Lehning, M.: Spatial and temporal variability of snow depth and ablation rates in a small mountain catchment, The Cryosphere, 4, 215–225, https://doi.org/10.5194/tc-4-215-2010, 2010. .
Gr{ü}newald, T. and Lehning, M.: Altitudinal dependency of snow amounts in two small alpine catchments: can catchment-wide snow amounts be estimated via single snow or precipitation stations?, Ann. Glaiol., 52, 153–158, 2011.
Helbig, N., L{ö}we, H., and Lehning, M: Radiosity approach for the shortwave surface radiation balance in complex terrain, J. Atmos. Sci., 66, 2900–2912, 2009.
Helbig, N., Lehning, M., L{ö}we, H., and Mayer, B.: Explicit validation of a shortwave radiation model over snow covered complex terrain, J. Geophys. Res., 115, D18113, https://doi.org/10.1029/2010JD013970, 2010.
Jonas, T., Marty, C., and Magnusson, J.: Estimating the snow water equivalent from snow depth measurements in the Swiss Alps, J. Hydrol., 378, 161–167, 2009.
Lehning, M. and Fierz, C.: Assessment of snow transport in avalanche terrain, Cold Reg. Sci. Technol., 51, 240–252, https://doi.org/10.1016/j.coldregions.2007.05.012, 2008.
Lehning, M., Bartelt, P., Brown, B., and Fierz, C.: A physical SNOWPACK model for the Swiss avalanche warning: Part III: meteorological forcing, thin layer formation and evaluation, Cold Reg. Sci. and Technol., 35, 169–184, https://doi.org/10.1016/S0165-232X(02)00072-1, 2002.
Lehning, M., V{ö}lksch, I., Gustafsson, D., Nguyen, T. A., St{ä}hli, M., and Zappa, M.: A detailed model of mountain surface processes and its application to snow hydrology, Hydrol. Process., 20, 2111–2128, 2006.
Lehning, M., L{ö}we, H., Ryser, M., and Raderschall, N.: Inhomogeneous precipitation distribution and snow transport in steep terrain, Water Resour. Res., 44. W09425, https://doi.org/10.1029/2007WR006544, 2008.
Liston, G. E.: Local Advection of momentum, heat and moisture during the melt of patchy snow covers, J. Appl. Meteorol., 34, 1705–1715, 1995.
Liston, G. E. and Sturm, M.: Winter precipitation patternsin arctic Alaska determined from a blowing-snow model and snow-depth observations, J. Hydromet., 3, 646–659, 2002.
Liston, G. E., Haehnel, R. B., Sturm, M., Hiemstra, C. A., Berezovskaya, S., and Tabler, R. D.: Instruments and methods simulating complex snow distributions in windy environments using SnowTran-3D, J. Glaciol., 53, 241–256, 2007.
Luce, C. H., Tarboton, D. G., and Cooley K. R.: The influence of the spatial distribution of snow on basin-averaged snowmelt, Hydrol. Process., 12, 1671–1683, 1998.
Male, D. H. and Granger, R. J.: Snow surface energy exchange, Water Resour. Res., 17, 609–627, https://doi.org/10.1029/WR017i003p00609, 1981.
Manes, C., Guala, M., L{ö}we, H., Bartlett, S., Egli, L., and Lehning, M.: Statistical properties of fresh snow roughness, Water Resour. Res., 44, W11407, https://doi.org/10.1029/2007WR006689, 2008.
Marks, D., Domingo, J., Susong., D., Link, T., and Garen, D.: A spatially distributed energy balance snowmelt model for application in mountain basins, Hydrol. Process., 13, 1935–1959, 1999.
Marsh, P. and Pomeroy, J. W.: Meltwater fluxes at an arctic forest-tundra site, Hydrol. Process, 10, 1383–1400, 1996.
Michlmayr, G., Lehning, M., Kobolotschnig, G., Holzmann, H., Zappa, M., Mott, R., and Sch{ö}ner, W.: Application of the Alpine 3D model for glacier mass balance and glacier runoff studies at Goldbergkees, Austria, Hydrol. Process., 22, 3941–3949, 2008.
Morris, E. M.: Turbulent fluxes over snow and ice, J. Hydrol., 105, 205–233, 1989.
Mott, R. and Lehning, M.: Meteorological Modelling of very-high resolution wind fields and snow deposition for mountains, J. Hydrometeorol., 11, 934–949, https://doi.org/10.1175/2010JHM1216.1, 2010.
Mott, R., Schirmer, M., Bavay, M., Grünewald, T., and Lehning, M.: Understanding snow-transport processes shaping the mountain snow-cover, The Cryosphere, 4, 545–559, https://doi.org/10.5194/tc-4-545-2010, 2010. Mott, R., Schirmer,
Mott, R., Schirmer, M., and Lehning, M.: Scaling properties of wind and snow depth distribution in an Alpine catchment, J. Geophys. Res., 116, D06106, https://doi.org/10.1029/2010JD014886, 2011.
Pohl, S. and Marsh, P.: Modelling the spatial-temporal variability of spring snowmelt in an arctic catchment, Hydrol. Process., 20, 1773–1792. https://doi.org/10.1002/hyp.5955, 2006.
Pohl, S., Marsh, P., and Liston, G. E.: Spatial-temporal variability in turbulent fluxes during spring snowmelt, Arct. Antarct. Alp. Res., 38, 136–146, 2006.
Pomeroy, J. W. and Gray, D. M.: Snowcover: Accumulation, Redistribution and Management, National Hydrology Research Institute Science Report No. 7., Saskatoon, Saskatchewan, Canada, 144 pp., 1995.
Pomeroy, J. W., Gray, D. M., Shook, K. R., Toth, B., Essery, R. L. H., Pietroniro, A., and Hedstrom, N.: An evaluation of snow accumulation and ablation processes for land surface modelling, Hydrol. Process., 12, 2339–2367, 1998.
Prokop, A., Schirmer, M., Rub, M., Lehning, M., and Stocker, M.: A comparison of measurement methods: Terrestrial laser scanning, tachymetry and snow probing, for the determination of spatial snow depth distribution on slopes, Ann. Glaciol., 49, 210–216, 2008.
Prokop, A.: Assessing the applicability of terrestrial laser scanning for spatial snow depth measurements, Cold Reg. Sci. Technol., 54, 155–163, 2008.
Raderschall, N., Lehning, M., and Sch{ä}r, M.: Fine-scale modeling of the boundary layer wind field over steep topography, Water Resour. Res., 44, W09425, https://doi.org/10.1029/2007WR006544, 2008.
Schaffhauser, A., Adams, M., Fromm, R., J{ö}rg, P., Luzi, G., Noferini, L., and Sailer, R.: Remote sensing based retrieval of snow-cover properties, Cold Reg. Sci. Technol., 54, 164–175, 2008.
Schirmer, M., Wirz, V., Clifton, A., and Lehning, M.: Persistence in intra-annual snow depth distribution: 1. Measurements and topographic control, Water Resour. Res., 47, W09516, https://doi.org/10.1029/2010WR009426, 2011.
Shook, K., Gray, D. M., and Pomeroy, J. W.: Temporal variation in snowcover area during melt in prairie and alpine environments, Nord. Hydrol., 24, 183–198, 1993.
Shook, K.: Simulation of ablation of prairie snowcovers, Ph.D thesis, University of Saskatchewan, 189 pp., 1995.
Stearns, C. and Weidner, G.: Sensible and latent heat estimates in Antarctica. Antar. res. s., 61, 109–138, 1994.
Stössel, F., Manes, C., Guala, M., Fierz, C., and Lehning, M.: Micrometeorological and morphological observations of surface hoar dynamics on a mountain snow-cover, Water Resour. Res., 46, W04511, https://doi.org/10.1029/2009WR008198, 2010.
Stull, R.: Boundary Layer Meteorology. Kluwer Academic, 666 pp., 1988.
Takahara, H. and Higuchi, K.: Thermal modification of air moving over melting snow surfaces, Ann. Glaciol., 6, 235–237, 1985.
Xue, M., Droegemeier, K. K., Wong, V., Shapiro, A., and Brewster, K.: The Advanced Regional Prediction System (ARPS) – A multi-scale non-hydrostatic atmospheric simulation model. Part II: model physics and applications, Meteorol. Atmos. Phys., 76, 143–165, 2004.
