Articles | Volume 9, issue 2
https://doi.org/10.5194/tc-9-587-2015
© Author(s) 2015. 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-9-587-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Verification of analysed and forecasted winter precipitation in complex terrain
Department of Civil Engineering, University of Calgary, Calgary, AB, Canada
now at: Centre for Hydrology, University of Saskatchewan, Saskatoon, SK, Canada
B. Jamieson
Department of Civil Engineering, University of Calgary, Calgary, AB, Canada
Related authors
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
EGUsphere, https://doi.org/10.5194/egusphere-2024-993, https://doi.org/10.5194/egusphere-2024-993, 2024
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This study uses deep learning to predict spatially contiguous water runoff in Switzerland from 1962–2023. It outperforms traditional models, requiring less data and computational power. Key findings include increased dry years and summer water scarcity. This method offers significant advancements in water monitoring.
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.
Nora Helbig, Michael Schirmer, Jan Magnusson, Flavia Mäder, Alec van Herwijnen, Louis Quéno, Yves Bühler, Jeff S. Deems, and Simon Gascoin
The Cryosphere, 15, 4607–4624, https://doi.org/10.5194/tc-15-4607-2021, https://doi.org/10.5194/tc-15-4607-2021, 2021
Short summary
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The snow cover spatial variability in mountains changes considerably over the course of a snow season. In applications such as weather, climate and hydrological predictions the fractional snow-covered area is therefore an essential parameter characterizing how much of the ground surface in a grid cell is currently covered by snow. We present a seasonal algorithm and a spatiotemporal evaluation suggesting that the algorithm can be applied in other geographic regions by any snow model application.
Michael Schirmer and John W. Pomeroy
Hydrol. Earth Syst. Sci., 24, 143–157, https://doi.org/10.5194/hess-24-143-2020, https://doi.org/10.5194/hess-24-143-2020, 2020
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Short summary
The spatial distribution of snow water equivalent (SWE) and melt are important for hydrological applications in alpine terrain. We measured the spatial distribution of melt using a drone in very high resolution and could relate melt to topographic characteristics. Interestingly, melt and SWE were not related spatially, which influences the speed of areal melt out. We could explain this by melt varying over larger distances than SWE.
Phillip Harder, Michael Schirmer, John Pomeroy, and Warren Helgason
The Cryosphere, 10, 2559–2571, https://doi.org/10.5194/tc-10-2559-2016, https://doi.org/10.5194/tc-10-2559-2016, 2016
Short summary
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This paper assesses the accuracy of high-resolution snow depth maps generated from unmanned aerial vehicle imagery. Snow depth maps are generated from differencing snow-covered and snow-free digital surface models produced from structure from motion techniques. On average, the estimated snow depth error was 10 cm. This technique is therefore useful for observing snow accumulation and melt in deep snow but is restricted to observing peak snow accumulation in shallow snow.
M. Schirmer and B. Jamieson
The Cryosphere, 8, 387–394, https://doi.org/10.5194/tc-8-387-2014, https://doi.org/10.5194/tc-8-387-2014, 2014
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
EGUsphere, https://doi.org/10.5194/egusphere-2024-993, https://doi.org/10.5194/egusphere-2024-993, 2024
Short summary
Short summary
This study uses deep learning to predict spatially contiguous water runoff in Switzerland from 1962–2023. It outperforms traditional models, requiring less data and computational power. Key findings include increased dry years and summer water scarcity. This method offers significant advancements in water monitoring.
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
Short summary
Short summary
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.
Nora Helbig, Michael Schirmer, Jan Magnusson, Flavia Mäder, Alec van Herwijnen, Louis Quéno, Yves Bühler, Jeff S. Deems, and Simon Gascoin
The Cryosphere, 15, 4607–4624, https://doi.org/10.5194/tc-15-4607-2021, https://doi.org/10.5194/tc-15-4607-2021, 2021
Short summary
Short summary
The snow cover spatial variability in mountains changes considerably over the course of a snow season. In applications such as weather, climate and hydrological predictions the fractional snow-covered area is therefore an essential parameter characterizing how much of the ground surface in a grid cell is currently covered by snow. We present a seasonal algorithm and a spatiotemporal evaluation suggesting that the algorithm can be applied in other geographic regions by any snow model application.
Michael Schirmer and John W. Pomeroy
Hydrol. Earth Syst. Sci., 24, 143–157, https://doi.org/10.5194/hess-24-143-2020, https://doi.org/10.5194/hess-24-143-2020, 2020
Short summary
Short summary
The spatial distribution of snow water equivalent (SWE) and melt are important for hydrological applications in alpine terrain. We measured the spatial distribution of melt using a drone in very high resolution and could relate melt to topographic characteristics. Interestingly, melt and SWE were not related spatially, which influences the speed of areal melt out. We could explain this by melt varying over larger distances than SWE.
Phillip Harder, Michael Schirmer, John Pomeroy, and Warren Helgason
The Cryosphere, 10, 2559–2571, https://doi.org/10.5194/tc-10-2559-2016, https://doi.org/10.5194/tc-10-2559-2016, 2016
Short summary
Short summary
This paper assesses the accuracy of high-resolution snow depth maps generated from unmanned aerial vehicle imagery. Snow depth maps are generated from differencing snow-covered and snow-free digital surface models produced from structure from motion techniques. On average, the estimated snow depth error was 10 cm. This technique is therefore useful for observing snow accumulation and melt in deep snow but is restricted to observing peak snow accumulation in shallow snow.
S. Horton, M. Schirmer, and B. Jamieson
The Cryosphere, 9, 1523–1533, https://doi.org/10.5194/tc-9-1523-2015, https://doi.org/10.5194/tc-9-1523-2015, 2015
Short summary
Short summary
We investigate how various meteorological and terrain factors affect surface hoar formation in complex terrain. We modelled the distribution of three surface hoar layers with a coupled NWP - snow cover model, and verified the model with field studies. The layers developed in regions and elevation bands with warm moist air, light winds, and cold snow surfaces. Possible avalanche forecasting applications are discussed.
M. Schirmer and B. Jamieson
The Cryosphere, 8, 387–394, https://doi.org/10.5194/tc-8-387-2014, https://doi.org/10.5194/tc-8-387-2014, 2014
Related subject area
Mountain Processes
Quantifying frost-weathering-induced damage in alpine rocks
Subgridding high-resolution numerical weather forecast in the Canadian Selkirk mountain range for local snow modeling in a remote sensing perspective
Rapid warming and degradation of mountain permafrost in Norway and Iceland
Improving climate model skill over High Mountain Asia by adapting snow cover parameterization to complex-topography areas
Brief communication: How deep is the snow on Mount Everest?
Snow sensitivity to temperature and precipitation change during compound cold–hot and wet–dry seasons in the Pyrenees
Mountain permafrost in the Central Pyrenees: insights from the Devaux ice cave
Glacier–permafrost relations in a high-mountain environment: 5 decades of kinematic monitoring at the Gruben site, Swiss Alps
Multi-scale snowdrift-permitting modelling of mountain snowpack
How much snow falls in the world's mountains? A first look at mountain snowfall estimates in A-train observations and reanalyses
Brief communication: The influence of mica-rich rocks on the shear strength of ice-filled discontinuities
Resolving the influence of temperature forcing through heat conduction on rock glacier dynamics: a numerical modelling approach
A temperature- and stress-controlled failure criterion for ice-filled permafrost rock joints
Quantifying irreversible movement in steep, fractured bedrock permafrost on Matterhorn (CH)
How much cryosphere model complexity is just right? Exploration using the conceptual cryosphere hydrology framework
Small-scale variation of snow in a regional permafrost model
Meteorological, elevation, and slope effects on surface hoar formation
Soil erosion and organic carbon export by wet snow avalanches
Simulation of wind-induced snow transport and sublimation in alpine terrain using a fully coupled snowpack/atmosphere model
Influence of surface and subsurface heterogeneity on observed borehole temperatures at a mountain permafrost site in the Upper Engadine, Swiss Alps
The mass and energy balance of ice within the Eisriesenwelt cave, Austria
Rapid changes of the ice mass configuration in the dynamic Diablotins ice cave – Fribourg Prealps, Switzerland
Till Mayer, Maxim Deprez, Laurenz Schröer, Veerle Cnudde, and Daniel Draebing
The Cryosphere, 18, 2847–2864, https://doi.org/10.5194/tc-18-2847-2024, https://doi.org/10.5194/tc-18-2847-2024, 2024
Short summary
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Frost weathering drives rockfall and shapes the evolution of alpine landscapes. We employed a novel combination of investigation techniques to assess the influence of different climatic conditions on high-alpine rock faces. Our results imply that rock walls exposed to freeze–thaw conditions, which are likely to occur at lower elevations, will weather more rapidly than rock walls exposed to sustained freezing conditions due to winter snow cover or permafrost at higher elevations.
Paul Billecocq, Alexandre Langlois, and Benoit Montpetit
The Cryosphere, 18, 2765–2782, https://doi.org/10.5194/tc-18-2765-2024, https://doi.org/10.5194/tc-18-2765-2024, 2024
Short summary
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Snow covers a vast part of the globe, making snow water equivalent (SWE) crucial for climate science and hydrology. SWE can be inversed from satellite data, but the snow's complex structure highly affects the signal, and thus an educated first guess is mandatory. In this study, a subgridding framework was developed to model snow at the local scale from model weather data. The framework enhanced snow parameter modeling, paving the way for SWE inversion algorithms from satellite data.
Bernd Etzelmüller, Ketil Isaksen, Justyna Czekirda, Sebastian Westermann, Christin Hilbich, and Christian Hauck
The Cryosphere, 17, 5477–5497, https://doi.org/10.5194/tc-17-5477-2023, https://doi.org/10.5194/tc-17-5477-2023, 2023
Short summary
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Permafrost (permanently frozen ground) is widespread in the mountains of Norway and Iceland. Several boreholes were drilled after 1999 for long-term permafrost monitoring. We document a strong warming of permafrost, including the development of unfrozen bodies in the permafrost. Warming and degradation of mountain permafrost may lead to more natural hazards.
Mickaël Lalande, Martin Ménégoz, Gerhard Krinner, Catherine Ottlé, and Frédérique Cheruy
The Cryosphere, 17, 5095–5130, https://doi.org/10.5194/tc-17-5095-2023, https://doi.org/10.5194/tc-17-5095-2023, 2023
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This study investigates the impact of topography on snow cover parameterizations using models and observations. Parameterizations without topography-based considerations overestimate snow cover. Incorporating topography reduces snow overestimation by 5–10 % in mountains, in turn reducing cold biases. However, some biases remain, requiring further calibration and more data. Assessing snow cover parameterizations is challenging due to limited and uncertain data in mountainous regions.
Wei Yang, Huabiao Zhao, Baiqing Xu, Jiule Li, Weicai Wang, Guangjian Wu, Zhongyan Wang, and Tandong Yao
The Cryosphere, 17, 2625–2628, https://doi.org/10.5194/tc-17-2625-2023, https://doi.org/10.5194/tc-17-2625-2023, 2023
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There is very strong scientific and public interest regarding the snow thickness on Mountain Everest. Previously reported snow depths derived by different methods and instruments ranged from 0.92 to 3.5 m. Our measurements in 2022 provide the first clear radar image of the snowpack at the top of Mount Everest. The snow thickness at Earth's summit was averaged to be 9.5 ± 1.2 m. This updated snow thickness is considerably deeper than values reported during the past 5 decades.
Josep Bonsoms, Juan Ignacio López-Moreno, and Esteban Alonso-González
The Cryosphere, 17, 1307–1326, https://doi.org/10.5194/tc-17-1307-2023, https://doi.org/10.5194/tc-17-1307-2023, 2023
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This work analyzes the snow response to temperature and precipitation in the Pyrenees. During warm and wet seasons, seasonal snow depth is expected to be reduced by −37 %, −34 %, and −27 % per degree Celsius at low-, mid-, and high-elevation areas, respectively. The largest snow reductions are anticipated at low elevations of the eastern Pyrenees. Results anticipate important impacts on the nearby ecological and socioeconomic systems.
Miguel Bartolomé, Gérard Cazenave, Marc Luetscher, Christoph Spötl, Fernando Gázquez, Ánchel Belmonte, Alexandra V. Turchyn, Juan Ignacio López-Moreno, and Ana Moreno
The Cryosphere, 17, 477–497, https://doi.org/10.5194/tc-17-477-2023, https://doi.org/10.5194/tc-17-477-2023, 2023
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In this work we study the microclimate and the geomorphological features of Devaux ice cave in the Central Pyrenees. The research is based on cave monitoring, geomorphology, and geochemical analyses. We infer two different thermal regimes. The cave is impacted by flooding in late winter/early spring when the main outlets freeze, damming the water inside. Rock temperatures below 0°C and the absence of drip water indicate frozen rock, while relict ice formations record past damming events.
Isabelle Gärtner-Roer, Nina Brunner, Reynald Delaloye, Wilfried Haeberli, Andreas Kääb, and Patrick Thee
The Cryosphere, 16, 2083–2101, https://doi.org/10.5194/tc-16-2083-2022, https://doi.org/10.5194/tc-16-2083-2022, 2022
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We intensely investigated the Gruben site in the Swiss Alps, where glaciers and permafrost landforms closely interact, to better understand cold-climate environments. By the interpretation of air photos from 5 decades, we describe long-term developments of the existing landforms. In combination with high-resolution positioning measurements and ground surface temperatures, we were also able to link these to short-term changes and describe different landform responses to climate forcing.
Vincent Vionnet, Christopher B. Marsh, Brian Menounos, Simon Gascoin, Nicholas E. Wayand, Joseph Shea, Kriti Mukherjee, and John W. Pomeroy
The Cryosphere, 15, 743–769, https://doi.org/10.5194/tc-15-743-2021, https://doi.org/10.5194/tc-15-743-2021, 2021
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Mountain snow cover provides critical supplies of fresh water to downstream users. Its accurate prediction requires inclusion of often-ignored processes. A multi-scale modelling strategy is presented that efficiently accounts for snow redistribution. Model accuracy is assessed via airborne lidar and optical satellite imagery. With redistribution the model captures the elevation–snow depth relation. Redistribution processes are required to reproduce spatial variability, such as around ridges.
Anne Sophie Daloz, Marian Mateling, Tristan L'Ecuyer, Mark Kulie, Norm B. Wood, Mikael Durand, Melissa Wrzesien, Camilla W. Stjern, and Ashok P. Dimri
The Cryosphere, 14, 3195–3207, https://doi.org/10.5194/tc-14-3195-2020, https://doi.org/10.5194/tc-14-3195-2020, 2020
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The total of snow that falls globally is a critical factor governing freshwater availability. To better understand how this resource is impacted by climate change, we need to know how reliable the current observational datasets for snow are. Here, we compare five datasets looking at the snow falling over the mountains versus the other continents. We show that there is a large consensus when looking at fractional contributions but strong dissimilarities when comparing magnitudes.
Philipp Mamot, Samuel Weber, Maximilian Lanz, and Michael Krautblatter
The Cryosphere, 14, 1849–1855, https://doi.org/10.5194/tc-14-1849-2020, https://doi.org/10.5194/tc-14-1849-2020, 2020
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A failure criterion for ice-filled rock joints is a prerequisite to accurately assess the stability of permafrost rock slopes. In 2018 a failure criterion was proposed based on limestone. Now, we tested the transferability to other rocks using mica schist and gneiss which provide the maximum expected deviation of lithological effects on the shear strength. We show that even for controversial rocks the failure criterion stays unaltered, suggesting that it is applicable to mostly all rock types.
Alessandro Cicoira, Jan Beutel, Jérome Faillettaz, Isabelle Gärtner-Roer, and Andreas Vieli
The Cryosphere, 13, 927–942, https://doi.org/10.5194/tc-13-927-2019, https://doi.org/10.5194/tc-13-927-2019, 2019
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Rock glacier flow varies on multiple timescales. The variations have been linked to climatic forcing, but a quantitative understanding is still missing.
We use a 1-D numerical modelling approach coupling heat conduction to a creep model in order to study the influence of temperature variations on rock glacier flow. Our results show that heat conduction alone cannot explain the observed variations. Other processes, likely linked to water, must dominate the short-term velocity signal.
Philipp Mamot, Samuel Weber, Tanja Schröder, and Michael Krautblatter
The Cryosphere, 12, 3333–3353, https://doi.org/10.5194/tc-12-3333-2018, https://doi.org/10.5194/tc-12-3333-2018, 2018
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Most of the observed failures in permafrost-affected alpine rock walls are likely triggered by the mechanical destabilisation of warming bedrock permafrost including ice-filled joints. We present a systematic study of the brittle shear failure of ice and rock–ice contacts along rock joints in a simulated depth ≤ 30 m and at temperatures from −10 to −0.5 °C. Warming and sudden reduction in rock overburden due to the detachment of an upper rock mass lead to a significant drop in shear resistance.
Samuel Weber, Jan Beutel, Jérome Faillettaz, Andreas Hasler, Michael Krautblatter, and Andreas Vieli
The Cryosphere, 11, 567–583, https://doi.org/10.5194/tc-11-567-2017, https://doi.org/10.5194/tc-11-567-2017, 2017
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We present a 8-year continuous time series of measured fracture kinematics and thermal conditions on steep permafrost bedrock at Hörnligrat, Matterhorn. Based on this unique dataset and a conceptual model for strong fractured bedrock, we develop a novel quantitative approach that allows to separate reversible from irreversible fracture kinematics and assign the dominant forcing. A new index of irreversibility provides useful indication for the occurrence and timing of irreversible displacements.
Thomas M. Mosier, David F. Hill, and Kendra V. Sharp
The Cryosphere, 10, 2147–2171, https://doi.org/10.5194/tc-10-2147-2016, https://doi.org/10.5194/tc-10-2147-2016, 2016
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Our paper presents the Conceptual Cryosphere Hydrology Framework (CCHF), a tool to enable more rapid development and intercomparison of cryosphere process representations. Using the CCHF, we demonstrate that some common existing degree index cryosphere models are not well suited for assessing impacts across climates, even though these models appear to perform well under a common evaluation strategy. We show that more robust models can be formulated without increasing data input requirements.
Kjersti Gisnås, Sebastian Westermann, Thomas Vikhamar Schuler, Kjetil Melvold, and Bernd Etzelmüller
The Cryosphere, 10, 1201–1215, https://doi.org/10.5194/tc-10-1201-2016, https://doi.org/10.5194/tc-10-1201-2016, 2016
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In wind exposed areas snow redistribution results in large spatial variability in ground temperatures. In these areas, the ground temperature of a grid cell must be determined based on the distribution, and not the average, of snow depths. We employ distribution functions of snow in a regional permafrost model, showing highly improved representation of ground temperatures. By including snow distributions, we find the permafrost area to be nearly twice as large as what is modelled without.
S. Horton, M. Schirmer, and B. Jamieson
The Cryosphere, 9, 1523–1533, https://doi.org/10.5194/tc-9-1523-2015, https://doi.org/10.5194/tc-9-1523-2015, 2015
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We investigate how various meteorological and terrain factors affect surface hoar formation in complex terrain. We modelled the distribution of three surface hoar layers with a coupled NWP - snow cover model, and verified the model with field studies. The layers developed in regions and elevation bands with warm moist air, light winds, and cold snow surfaces. Possible avalanche forecasting applications are discussed.
O. Korup and C. Rixen
The Cryosphere, 8, 651–658, https://doi.org/10.5194/tc-8-651-2014, https://doi.org/10.5194/tc-8-651-2014, 2014
V. Vionnet, E. Martin, V. Masson, G. Guyomarc'h, F. Naaim-Bouvet, A. Prokop, Y. Durand, and C. Lac
The Cryosphere, 8, 395–415, https://doi.org/10.5194/tc-8-395-2014, https://doi.org/10.5194/tc-8-395-2014, 2014
S. Schneider, M. Hoelzle, and C. Hauck
The Cryosphere, 6, 517–531, https://doi.org/10.5194/tc-6-517-2012, https://doi.org/10.5194/tc-6-517-2012, 2012
F. Obleitner and C. Spötl
The Cryosphere, 5, 245–257, https://doi.org/10.5194/tc-5-245-2011, https://doi.org/10.5194/tc-5-245-2011, 2011
S. Morard, M. Bochud, and R. Delaloye
The Cryosphere, 4, 489–500, https://doi.org/10.5194/tc-4-489-2010, https://doi.org/10.5194/tc-4-489-2010, 2010
Cited articles
Bélair, S., Roch, M., Leduc, A.-M., Vaillancourt, P. A., Laroche, S., and Mailhot, J.: Medium-range quantitative precipitation forecasts from Canada's new 33-km deterministic global operational system, Weather Forecast., 24, 690–708, 2009.
Bellaire, S. and Jamieson, B.: Forecasting the formation of critical snow layers using a coupled snow cover and weather model, Cold Reg. Sci. Technol., 94, 37–44, 2013.
Bellaire, S., Jamieson, J. B., and Fierz, C.: Forcing the snow-cover model SNOWPACK with forecasted weather data, The Cryosphere, 5, 1115–1125, https://doi.org/10.5194/tc-5-1115-2011, 2011.
Bellaire, S., Jamieson, J. B., and Fierz, C.: Corrigendum to "Forcing the snow-cover model SNOWPACK with forecasted weather data" published in The Cryosphere, 5, 1115–1125, 2011, The Cryosphere, 7, 511–513, https://doi.org/10.5194/tc-7-511-2013, 2013.
Carrera, M. L., Bélair, S., Fortin, V., Bilodeau, B., Charpentier, D., and Doré, I.: Evaluation of snowpack simulations over the Canadian Rockies with an experimental hydrometeorological modeling system, J. Hydrometeorol., 11, 1123–1140, 2010.
Colle, B. A., Wolfe, J. B., Steenburgh, W. J., Kingsmill, D. E., Cox, J. A., and Shafer, J. C.: High-resolution simulations and microphysical validation of an orographic precipitation event over the Wasatch Mountains during IPEX IOP3, Mon. Weather Rev., 133, 2947–2971, 2005.
Déry, S. J., Clifton, A., MacLeod, S., and Beedle, M. J.: Blowing Snow Fluxes in the Cariboo Mountains of British Columbia, Canada, Arc. Antarc. Alpine Res., 42, 188–197, 2010.
Erfani, A., Mailhot, J., Gravel, S., Desgagné, M., King, P., Sills, D., McLennan, N., and Jacob, D.: The high resolution limited area version of the Global Environmental Multiscale model (GEM-LAM) and its potential operational applications, Preprints, 11th Conf. on Mesoscale Processes, Albuquerque, NM, Am. Meteorol. Soc. M, 2005.
Fierz, C., Armstrong, R. L., Durand, Y., Etchevers, P., Greene, E., McClung, D. M., Nishimura, K., Satyawali, P. K., and Sokratov, S. A.: The International Classification for Seasonal Snow on the Ground, IHP-VII Technical Documents in Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris, 80 pp., 2009.
Fundel, F., Walser, A., Liniger, M. A., Frei, C., and Appenzeller, C.: Calibrated precipitation forecasts for a limited-area ensemble forecast system using reforecasts, Mon. Weather Rev., 138, 176–189, 2010.
Garvert, M. F., Colle, B. A., and Mass, C. F: The 13–14 December 2001 IMPROVE-2 event. Part I: Synoptic and mesoscale evolution and comparison with a mesoscale model simulation, J. Atmos. Sci., 62, 3474–3492, 2005.
Grünewald, T. and Lehning, M.: Are flat-field snow depth measurements representative? A comparison of selected index sites with areal snow depth measurements at the small catchment scale, Hydrol. Process., 29, 1717–1728, https://doi.org/10.1002/hyp.10295, 2014.
Haiden, T., Kann, A., Wittmann, C., Pistotnik, G., Bica, B., and Gruber, C.: The Integrated Nowcasting through Comprehensive Analysis (INCA) System and Its Validation over the Eastern Alpine Region, Weather Forecast., 26, 166–183, 2011.
Hogan, R. J., Ferro, C. A., Jolliffe, I. T., and Stephenson, D. B.: Equitability revisited: Why the "equitable threat score" is not equitable, Weather Forecast., 25, 710–726, 2010.
Ikeda, K., Rasmussen, R., Liu, C., Gochis, D., Yates, D., Chen, F., Tewari, M., Barlage, M., Dudhia, J., Miller, K., Arsenault, K., Grubišić, V., Thompson, G., and Guttman, E.: Simulation of seasonal snowfall over Colorado, Atmos. Res., 97, 462–477, 2010.
Johnson, J. B. and Marks, D.: The detection and correction of snow water equivalent pressure sensor errors, Hydrol. Process., 18, 3513–3525, 2004.
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. Technol., 35, 169–184, 2002.
Liston, G. E. and Elder, K.: A Meteorological Distribution System for High-Resolution Terrestrial Modeling (MicroMet), J. Hydrometeorol., 7, 217–234, 2006.
Liu, C., Ikeda, K., Thompson, G., Rasmussen, R., and Dudhia, J.: High-resolution simulations of wintertime precipitation in the Colorado Headwaters region: Sensitivity to physics parameterizations, Mon. Weather Rev., 139, 3533–3553, 2011.
Mahfouf, J.-F., Brasnett, B., and Gagnon, S.: A Canadian precipitation analysis (CaPA) project: Description and preliminary results, Atmos.-Ocean, 45, 1–17, 2007.
Mailhot, J., Bélair, S., Lefaivre, L., Bilodeau, B., Desgagné, M., Girard, C., Glazer, A., Leduc, A.-M., Méthot, A., Patoine, A., and others: The 15-km version of the Canadian regional forecast system, Atmos.-Ocean, 44, 133–149, 2006.
Mailhot, J., Milbrandt, J., Giguère, A., McTaggart-Cowan, R., Erfani, A., Denis, B., Glazer, A., and Vallée, M.: An experimental high-resolution forecast system during the Vancouver 2010 Winter Olympic and Paralympic Games, Pure Appl. Geophys., 171, 1–21, 2012.
Milbrandt, J. and Yau, M.: A multimoment bulk microphysics parameterization. Part II: A proposed three-moment closure and scheme description, J. Atmos. Sci., 62, 3065–3081, 2005.
Milbrandt, J., Yau, M., Mailhot, J., and Bélair, S.: Simulation of an orographic precipitation event during IMPROVE-2. Part I: Evaluation of the control run using a triple-moment bulk microphysics scheme, Mon. Weather Rev., 136, 3873–3893, 2008.
Milbrandt, J., Yau, M., Mailhot, J., Bélair, S., and McTaggart-Cowan, R.: Simulation of an orographic precipitation event during IMPROVE-2. Part II: Sensitivity to the number of moments in the bulk microphysics scheme, Mon. Weather Rev., 138, 625–642, 2010.
Morrison, H., Milbrandt, J. A., Bryan, G. H., Ikeda, K., Tessendorf, S. A., and Thompson, G.: Parameterization of cloud microphysics based on the prediction of bulk ice particle properties. Part 2: Case study comparisons with observations and other schemes, J. Atmos. Sci., 72, 287–311, 2015.
Mott, R., Scipión, D., Schneebeli, M., Dawes, N., Berne, A., and Lehning, M: Orographic effects on snow deposition patterns in mountainous terrain, J. Geophys. Res.-Atmos., 119, 1419–1439, 2014.
Murphy, A.: Forecast verification: its complexity and dimensionality, Mon. Weather Rev., 119, 1590–1601, 1991.
Murphy, A.: What is a good forecast? An essay on the nature of goodness in weather forecasting, Weather Forecast., 8, 281–293, 1993.
Rheinberger, C. M., Bründl, M., and Rhyner, J.: Dealing with the White Death: Avalanche Risk Management for Traffic Routes, Risk Anal., 29, 76–94, 2009.
Richardson, D. S.: Skill and relative economic value of the ECMWF ensemble prediction system, Quarterly Journal of the Royal Meteorological Society, John Wiley and Sons, Ltd, 126, 649–667, 2000.
Rotach, M. W., Ambrosetti, P., Appenzeller, C., Arpagaus, M., Fontannaz, L., Fundel, F., Germann, U., Hering, A., Liniger, M. A., Stoll, M., Walser, A. , Ament, F., Bauer, H.-S., Behrendt, A., Wulfmeyer, V., Bouttier, F., Seity, Y., Buzzi, A., Davolio, S., Corazza, M., Denhard, M., Dorninger, M., Gorgas, T., Frick, J., Hegg, C., Zappa, M., Keil, C., Volkert, H., Marsigli, C., Montaini, A., McTaggart-Cowan, R., Mylne, K., Ranzi, R., Richard, E., Rossa, A., Santos-Muñoz, D., Schär, C., Staudinger, M., Wang, Y., and Werhahn, J.: MAP D-PHASE: Real-time demonstration of weather forecast quality in the Alpine region, B. Am. Meteorol. Soc., 90, 1321–1336, 2009.
Ryan, W. A., Doesken, N. J., and Fassnacht, S. R.: Evaluation of ultrasonic snow depth sensors for US snow measurements, J. Atmos. Ocean. Technol., 25, 667–684, 2008.
Schaefer, J. T.: The critical success index as an indicator of warning skill, Weather Forecast., 5, 570–575, 1990.
Serreze, M. C., Clark, M. P., Armstrong, R. L., McGinnis, D. A., and Pulwarty, R. S.: Characteristics of the western United States snowpack from snowpack telemetry (SNOTEL) data, Water Resour. Res., 35, 2145–2160, 1999.
Steinkogler, W., Fierz, C., Lehning, M., and Obleitner, F.: Systematic assessment of new snow settlement in SNOWPACK, in: Proceedings ISSW 2009, edited by: Schweizer, J. and van Herwijnen A., International Snow Science Workshop, Davos, Switzerland, 27 September–2 October 2009, 132–135, 2009.
Vionnet, V., Bélair, S., Girard, C., and Plante, A.: Wintertime Subkilometer Numerical Forecasts of Near-Surface Variables in the Canadian Rocky Mountains, Mon. Weather Rev., 143, 666–686, 2015.
Weusthoff, T., Ament, F., Arpagaus, M., and Rotach, M. W.: Assessing the benefits of convection-permitting models by neighborhood verification: Examples from MAP D-PHASE, Mon. Weather Rev., 138, 3418–3433, 2010.
Wilks, D.: Statistical Methods in the Atmospheric Sciences, Academic Press, San Diego, USA, 467 pp., 1995.
Yang, D., Goodison, B. E., Metcalfe, J. R., Golubev, V. S., Bates, R., Pangburn, T., and Hanson, C. L.: Accuracy of NWS 8" standard nonrecording precipitation gauge: Results and application of WMO intercomparison, J. Atmos. Ocean. Technol., 15, 54–68, 1998.
Zhu, Y., Toth, Z., Wobus, R., Richardson, D., and Mylne, K.: The economic value of ensemble-based weather forecasts, B. Am. Meteorol. Soc., 83, 73–83, 2002.
Short summary
Numerical Weather Prediction (NWP) models are rarely verified for mountainous regions during the winter season, although avalanche forecasters and other decision makers frequently rely on NWP models. We verified two NWP models (GEM-LAM and GEM15) and a precipitation analysis system (CaPA) at approximately 100 stations in the mountains of western Canada and northwestern USA. Ultrasonic snow depth sensors and snow pillows were used to observe daily precipitation amounts.
Numerical Weather Prediction (NWP) models are rarely verified for mountainous regions during the...