Articles | Volume 16, issue 8
https://doi.org/10.5194/tc-16-3071-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-3071-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Aug 2022
Research article |
| 02 Aug 2022
| 02 Aug 2022
Modelling glacier mass balance and climate sensitivity in the context of sparse observations: application to Saskatchewan Glacier, western Canada
Christophe Kinnard
CORRESPONDING AUTHOR
Centre de Recherche sur les Interactions Bassins
Versants – Écosystèmes Aquatiques (RIVE), Département des
Sciences de l'Environnement, Université du Québec à
Trois-Rivières, Trois-Rivières, Quebec, G8Z 4M3, Canada
Centre d'Études Nordiques (CEN), Québec, Quebec, G1V 0A6, Canada
Olivier Larouche
Centre de Recherche sur les Interactions Bassins
Versants – Écosystèmes Aquatiques (RIVE), Département des
Sciences de l'Environnement, Université du Québec à
Trois-Rivières, Trois-Rivières, Quebec, G8Z 4M3, Canada
Centre d'Études Nordiques (CEN), Québec, Quebec, G1V 0A6, Canada
Michael N. Demuth
Coldwater Laboratory, University of Saskatchewan, Canmore, Saskatchewan, T1W 3G1, Canada
Brian Menounos
Department of Geography, Earth and Environmental Sciences, University of Northern British Columbia, Prince George, British Columbia, V2N 4Z9, Canada
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Christian M. Zdanowicz, Bernadette C. Proemse, Ross Edwards, Wang Feiteng, Chad M. Hogan, Christophe Kinnard, and David Fisher
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The Cryosphere, 11, 2897–2918, https://doi.org/10.5194/tc-11-2897-2017, https://doi.org/10.5194/tc-11-2897-2017, 2017
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Our overall goal is to improve the numerical modeling of glacier melt in order to better predict the future of glaciers in Western Canada and worldwide.
Most commonly used models rely on simplifications of processes that dictate melting at a glacier surface, in particular turbulent processes of heat exchange. We compared modeled against directly measured turbulent heat fluxes at a valley glacier in British Columbia, Canada, and found that more improvements are needed in all the tested models.
Sébastien Monnier and Christophe Kinnard
Earth Surf. Dynam., 5, 493–509, https://doi.org/10.5194/esurf-5-493-2017, https://doi.org/10.5194/esurf-5-493-2017, 2017
M. J. Beedle, B. Menounos, and R. Wheate
The Cryosphere, 9, 65–80, https://doi.org/10.5194/tc-9-65-2015, https://doi.org/10.5194/tc-9-65-2015, 2015
J. M. Shea, B. Menounos, R. D. Moore, and C. Tennant
The Cryosphere, 7, 667–680, https://doi.org/10.5194/tc-7-667-2013, https://doi.org/10.5194/tc-7-667-2013, 2013
C. Tennant, B. Menounos, R. Wheate, and J. J. Clague
The Cryosphere, 6, 1541–1552, https://doi.org/10.5194/tc-6-1541-2012, https://doi.org/10.5194/tc-6-1541-2012, 2012
Related subject area
Discipline: Glaciers | Subject: Energy Balance Obs/Modelling
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Strategies for regional modeling of surface mass balance at the Monte Sarmiento Massif, Tierra del Fuego
Long-term firn and mass balance modelling for Abramov Glacier in the data-scarce Pamir Alay
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Calibration of surface mass balance (SMB) models on regional scales is challenging. We investigate different calibration strategies with the goal of achieving realistic simulations of the SMB in the Monte Sarmiento Massif, Tierra del Fuego. Our results show that the use of regional observations from satellite data can improve the model performance. Furthermore, we compare four melt models of different complexity to understand the benefit of increasing the processes considered in the model.
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The Cryosphere, 16, 5001–5022, https://doi.org/10.5194/tc-16-5001-2022, https://doi.org/10.5194/tc-16-5001-2022, 2022
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The Pamir Alay is located at the edge of regions with anomalous glacier mass changes. Unique long-term in situ data are available for Abramov Glacier, located in the Pamir Alay. In this study, we use this extraordinary data set in combination with reanalysis data and a coupled surface energy balance–multilayer subsurface model to compute and analyse the distributed climatic mass balance and firn evolution from 1968 to 2020.
Marte G. Hofsteenge, Nicolas J. Cullen, Carleen H. Reijmer, Michiel van den Broeke, Marwan Katurji, and John F. Orwin
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Marin Kneib, Evan S. Miles, Pascal Buri, Stefan Fugger, Michael McCarthy, Thomas E. Shaw, Zhao Chuanxi, Martin Truffer, Matthew J. Westoby, Wei Yang, and Francesca Pellicciotti
The Cryosphere, 16, 4701–4725, https://doi.org/10.5194/tc-16-4701-2022, https://doi.org/10.5194/tc-16-4701-2022, 2022
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Ice cliffs are believed to be important contributors to the melt of debris-covered glaciers, but this has rarely been quantified as the cliffs can disappear or rapidly expand within a few weeks. We used photogrammetry techniques to quantify the weekly evolution and melt of four cliffs. We found that their behaviour and melt during the monsoon is strongly controlled by supraglacial debris, streams and ponds, thus providing valuable insights on the melt and evolution of debris-covered glaciers.
Jonathan P. Conway, Jakob Abermann, Liss M. Andreassen, Mohd Farooq Azam, Nicolas J. Cullen, Noel Fitzpatrick, Rianne H. Giesen, Kirsty Langley, Shelley MacDonell, Thomas Mölg, Valentina Radić, Carleen H. Reijmer, and Jean-Emmanuel Sicart
The Cryosphere, 16, 3331–3356, https://doi.org/10.5194/tc-16-3331-2022, https://doi.org/10.5194/tc-16-3331-2022, 2022
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We used data from automatic weather stations on 16 glaciers to show how clouds influence glacier melt in different climates around the world. We found surface melt was always more frequent when it was cloudy but was not universally faster or slower than under clear-sky conditions. Also, air temperature was related to clouds in opposite ways in different climates – warmer with clouds in cold climates and vice versa. These results will help us improve how we model past and future glacier melt.
Stefan Fugger, Catriona L. Fyffe, Simone Fatichi, Evan Miles, Michael McCarthy, Thomas E. Shaw, Baohong Ding, Wei Yang, Patrick Wagnon, Walter Immerzeel, Qiao Liu, and Francesca Pellicciotti
The Cryosphere, 16, 1631–1652, https://doi.org/10.5194/tc-16-1631-2022, https://doi.org/10.5194/tc-16-1631-2022, 2022
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Chloe A. Whicker, Mark G. Flanner, Cheng Dang, Charles S. Zender, Joseph M. Cook, and Alex S. Gardner
The Cryosphere, 16, 1197–1220, https://doi.org/10.5194/tc-16-1197-2022, https://doi.org/10.5194/tc-16-1197-2022, 2022
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Snow and ice surfaces are important to the global climate. Current climate models use measurements to determine the reflectivity of ice. This model uses physical properties to determine the reflectivity of snow, ice, and darkly pigmented impurities that reside within the snow and ice. Therefore, the modeled reflectivity is more accurate for snow/ice columns under varying climate conditions. This model paves the way for improvements in the portrayal of snow and ice within global climate models.
Enrico Mattea, Horst Machguth, Marlene Kronenberg, Ward van Pelt, Manuela Bassi, and Martin Hoelzle
The Cryosphere, 15, 3181–3205, https://doi.org/10.5194/tc-15-3181-2021, https://doi.org/10.5194/tc-15-3181-2021, 2021
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In our study we find that climate change is affecting the high-alpine Colle Gnifetti glacier (Swiss–Italian Alps) with an increase in melt amounts and ice temperatures.
In the near future this trend could threaten the viability of the oldest ice core record in the Alps.
To reach our conclusions, for the first time we used the meteorological data of the highest permanent weather station in Europe (Capanna Margherita, 4560 m), together with an advanced numeric simulation of the glacier.
Shawn J. Marshall and Kristina Miller
The Cryosphere, 14, 3249–3267, https://doi.org/10.5194/tc-14-3249-2020, https://doi.org/10.5194/tc-14-3249-2020, 2020
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Surface-albedo measurements from 2002 to 2017 from Haig Glacier in the Canadian Rockies provide no evidence of long-term trends (i.e., the glacier does not appear to be darkening), but there are large variations in albedo over the melt season and from year to year. The glacier ice is exceptionally dark in association with forest fire fallout but is effectively cleansed by meltwater or rainfall. Summer snowfall plays an important role in refreshing the glacier surface and reducing summer melt.
Marius Schaefer, Duilio Fonseca-Gallardo, David Farías-Barahona, and Gino Casassa
The Cryosphere, 14, 2545–2565, https://doi.org/10.5194/tc-14-2545-2020, https://doi.org/10.5194/tc-14-2545-2020, 2020
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Chile hosts glaciers in a large range of latitudes and climates. To project future ice extent, a sound quantification of the energy exchange between atmosphere and glaciers is needed. We present new data for six Chilean glaciers belonging to three glaciological zones. In the Central Andes, the main energy source for glacier melt is the incoming solar radiation, while in southern Patagonia heat provided by the mild and humid air is also important. Total melt rates are higher in Patagonia.
Pleun N. J. Bonekamp, Chiel C. van Heerwaarden, Jakob F. Steiner, and Walter W. Immerzeel
The Cryosphere, 14, 1611–1632, https://doi.org/10.5194/tc-14-1611-2020, https://doi.org/10.5194/tc-14-1611-2020, 2020
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Drivers controlling melt of debris-covered glaciers are largely unknown. With a 3D turbulence-resolving model the impact of surface properties of debris on micrometeorological variables and the conductive heat flux is shown. Also, we show ice cliffs are local melt hot spots and that turbulent fluxes and local heat advection amplify spatial heterogeneity on the surface.This work is important for glacier mass balance modelling and for the understanding of the evolution of debris-covered glaciers.
Alexandra Giese, Aaron Boone, Patrick Wagnon, and Robert Hawley
The Cryosphere, 14, 1555–1577, https://doi.org/10.5194/tc-14-1555-2020, https://doi.org/10.5194/tc-14-1555-2020, 2020
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Rocky debris on glacier surfaces is known to affect the melt of mountain glaciers. Debris can be dry or filled to varying extents with liquid water and ice; whether debris is dry, wet, and/or icy affects how efficiently heat is conducted through debris from its surface to the ice interface. Our paper presents a new energy balance model that simulates moisture phase, evolution, and location in debris. ISBA-DEB is applied to West Changri Nup glacier in Nepal to reveal important physical processes.
Eleanor A. Bash and Brian J. Moorman
The Cryosphere, 14, 549–563, https://doi.org/10.5194/tc-14-549-2020, https://doi.org/10.5194/tc-14-549-2020, 2020
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High-resolution measurements from unmanned aerial vehicle (UAV) imagery allowed for examination of glacier melt model performance in detail at Fountain Glacier. This work capitalized on distributed measurements at 10 cm resolution to look at the spatial distribution of model errors in the ablation zone. Although the model agreed with measurements on average, strong correlation was found with surface water. The results highlight the contribution of surface water flow to melt at this location.
Jonathan D. Mackay, Nicholas E. Barrand, David M. Hannah, Stefan Krause, Christopher R. Jackson, Jez Everest, and Guðfinna Aðalgeirsdóttir
The Cryosphere, 12, 2175–2210, https://doi.org/10.5194/tc-12-2175-2018, https://doi.org/10.5194/tc-12-2175-2018, 2018
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We apply a framework to compare and objectively accept or reject competing melt and run-off process models. We found no acceptable models. Furthermore, increasing model complexity does not guarantee better predictions. The results highlight model selection uncertainty and the need for rigorous frameworks to identify deficiencies in competing models. The application of this approach in the future will help to better quantify model prediction uncertainty and develop improved process models.
Cited articles
Anderson, B., Mackintosh, A., Stumm, D., George, L., Kerr, T.,
Winter-Billington, A., and Fitzsimons, S.: Climate sensitivity of a
high-precipitation glacier in New Zealand, J. Glaciol., 56,
114–128, 2010.
Anderson, S. and Radić, V.: Identification of local water resource
vulnerability to rapid deglaciation in Alberta, Nat. Clim. Change, 10,
933–938, 2020.
Anslow, F. S., Hostetler, S., Bidlake, W. R., and Clark, P. U.: Distributed
energy balance modeling of South Cascade Glacier, Washington and assessment
of model uncertainty, J. Geophys. Res.-Earth, 113, 2008.
Arnold, N. S., Rees, W. G., Hodson, A. J., and Kohler, J.: Topographic
controls on the surface energy balance of a high Arctic valley glacier,
J. Geophys. Res.-Earth, 111, https://doi.org/10.1029/2005JF000426, 2006.
Arnold, N., Willis, I., Sharp, M., Richards, K., and Lawson, W.: A
distributed surface energy-balance model for a small valley glacier. I.
Development and testing for Haut Glacier d'Arolla, Valais, Switzerland,
J. Glaciol., 42, 77–89, 1996.
Avanzi, F., Ercolani, G., Gabellani, S., Cremonese, E., Pogliotti, P., Filippa, G., Morra di Cella, U., Ratto, S., Stevenin, H., Cauduro, M., and Juglair, S.: Learning about precipitation lapse rates from snow course data improves water balance modeling, Hydrol. Earth Syst. Sci., 25, 2109–2131, https://doi.org/10.5194/hess-25-2109-2021, 2021.
Ayala, A., Pellicciotti, F., Peleg, N., and Burlando, P.: Melt and surface
sublimation across a glacier in a dry environment: distributed
energy-balance modelling of Juncal Norte Glacier, Chile, J. Glaciol., 63, 803–822, 2017.
Aygün, O., Kinnard, C., and Campeau, S.: Impacts of climate change on
the hydrology of northern midlatitude cold regions, Prog. Phys. Geogr., 44, 338–375, 2020a.
Aygün, O., Kinnard, C., Campeau, S., and Krogh, S. A.: Shifting
Hydrol. Process. in a Canadian Agroforested Catchment due to a Warmer
and Wetter Climate, Water, 12, 739, https://doi.org/10.3390/w12030739, 2020b.
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a
warming climate on water availability in snow-dominated regions, Nature,
438, 303–309, 2005.
Benn, D. and Evans, D. J.: Glaciers and glaciation, 2nd edition, Routledge, https://doi.org/10.4324/9780203785010, 2014.
Bonekamp, P. N., de Kok, R. J., Collier, E., and Immerzeel, W. W.:
Contrasting meteorological drivers of the glacier mass balance between the
Karakoram and central Himalaya, Front. Earth Sci., 7, 107, https://doi.org/10.3389/feart.2019.00107, 2019.
Braithwaite, R. J.: Measuring and Modelling the Mass Balance of Glaciers for
Global Change, in: Glacier Science and Environmental Change, edited by: Knight, P. G., https://doi.org/10.1002/9780470750636.ch83, 2006.
Braithwaite, R. J. and Raper, S. C.: Glaciers and their contribution to sea
level change, Phys. Chem. Earth, Pts. A, B, C, 27,
1445–1454, 2002.
Brock, B. W., Willis, I. C., Sharp, M. J., and Arnold, N. S.: Modelling
seasonal and spatial variations in the surface energy balance of Haut
Glacier d'Arolla, Switzerland, Ann. Glaciol., 31, 53–62, 2000.
Brock, B. W., Willis, I. C., and Sharp, M. J.: Measurement and
parameterization of aerodynamic roughness length variations at Haut Glacier
d'Arolla, Switzerland, J. Glaciol., 52, 281–297, 2006.
Bukovsky, M. S. and Karoly, D. J.: A Brief Evaluation of Precipitation from
the North American Regional Reanalysis, J. Hydrometeorol., 8,
837–846, 2007.
Carenzo, M., Pellicciotti, F., Rimkus, S., and Burlando, P.: Assessing the
transferability and robustness of an enhanced temperature-index glacier-melt
model, J. Glaciol., 55, 258–274, 2009.
Carturan, L., Dalla Fontana, G., and Borga, M.: Estimation of winter
precipitation in a high-altitude catchment of the Eastern Italian Alps:
validation by means of glacier mass balance observations, Geogr. Fis. Din.
Quat., 35, 37–48, 2012.
Chambers, J. R., Smith, M. W., Quincey, D. J., Carrivick, J. L., Ross, A.
N., and James, M. R.: Glacial Aerodynamic Roughness Estimates: Uncertainty,
Sensitivity, and Precision in Field Measurements, J. Geophys. Res.-Earth, 125, e2019JF005167, https://doi.org/10.1029/2019JF005167, 2020.
Chen, J. and Brissette, F. P.: Hydrological modelling using proxies for
gauged precipitation and temperature, Hydrol. Process., 31, 3881–3897,
2017.
Che, Y., Zhang, M., Li, Z., Wei, Y., Nan, Z., Li, H., Wang, S., and Su, B.:
Energy balance model of mass balance and its sensitivity to meteorological
variability on Urumqi River Glacier No. 1 in the Chinese Tien Shan,
Scientific Reports, 9, 13958, https://doi.org/10.1038/s41598-019-50398-4, 2019.
Clarke, G. K., Jarosch, A. H., Anslow, F. S., Radić, V., and Menounos,
B.: Projected deglaciation of western Canada in the twenty-first century,
Nat. Geosci., 8, 372–377, https://doi.org/10.1038/ngeo2407, 2015.
Cogley, J. G.: Geodetic and direct mass-balance measurements: comparison and
joint analysis, Ann. Glaciol., 50, 96–100, 2009.
Cogley, J. G. and Adams, W.: Mass balance of glaciers other than the ice
sheets, J. Glaciol., 44, 315–325, 1998.
Comeau, L. E. L., Pietroniro, A., and Demuth, M. N.: Glacier contribution to
the North and South Saskatchewan Rivers, Hydrol. Process., 23,
2640–2653, 2009.
Conway, J. P., Helgason, W. D., Pomeroy, J. W., and Sicart, J. E.: Icefield
Breezes: Mesoscale Diurnal Circulation in the Atmospheric Boundary Layer
Over an Outlet of the Columbia Icefield, Canadian Rockies, J. Geophys. Res.-Atmos., 126, e2020JD034225, https://doi.org/10.1029/2020JD034225, 2021.
Cuffey, K. M. and Paterson, W. S. B.: The physics of glaciers, 4th edition, Academic Press, 721 pp., ISBN 978-0123694614, 2010.
Demuth, M.: Glaciers, in: 2018 State of the Mountains Report, Changing Glaciers, Changing Rivers, Volume
1, edited by: Parrott, L., Robinson, Z., and Hik, D., 23 pp., ISBN 9780-920330-715, 2018.
Demuth, M. and Horne, G.: Decadal-centenary glacier mass changes and their
variability, Jasper National Park, Alberta, including the Columbia Icefield
region, Geological Survey of Canada Open File 8229, https://doi.org/10.4095/304236 2018.
Demuth, M. and Pietroniro, A.: The impact of climate change on the glaciers
of the Canadian Rocky Mountain eastern slopes and implications for water
resource adaptation in the Canadian prairies, 96 pp., 2002.
Demuth, M., Munro, D., and Young, G. (Eds.): Peyto Glacier: One Century of
Science, National Hydrology Research Institute Science Report 8, Environment
Canada, Natural Resources Canada and Alberta Environment, ISBN 0-660-17683-1, 2006.
Demuth, M. N., Pinard, V., Pietroniro, A., Luckman, B. H., Hopkinson, C., Dornes, P., and Comeau, L.: Recent and Past-century Variations in theGlacier Resources of the Canadian Rocky Mountains – Nelson RiverSystem, Terra Glacialis Special Issue – Mountain Glaciers and ClimateChanges of the Last Century, 27–52, 2008.
Déry, S. J., Stahl, K., Moore, R., Whitfield, P., Menounos, B., and
Burford, J. E.: Detection of runoff timing changes in pluvial, nival, and
glacial rivers of western Canada, Water Resour. Res., 45, https://doi.org/10.1029/2008WR006975, 2009.
Dittmer, K.: Changing streamflow on Columbia basin tribal lands – climate
change and salmon, Climatic Change, 120, 627–641, 2013.
Ebrahimi, S. and Marshall, S. J.: Surface energy balance sensitivity to meteorological variability on Haig Glacier, Canadian Rocky Mountains, The Cryosphere, 10, 2799–2819, https://doi.org/10.5194/tc-10-2799-2016, 2016.
Ednie, M., Demuth, M., and Shepherd, B.: Mass balance of the Athabasca and
Saskatchewan sectors of the Columbia Icefield, Alberta for 2015 and 2016,
Geological Survey of Canada, https://doi.org/10.4095/302705 2017.
Elsberg, D. H., Harrison, W. D., Echelmeyer, K. A., and Krimmel, R. M.:
Quantifying the effects of climate and surface change on glacier mass
balance, J. Glaciol., 47, 649–658, 2001.
Engelhardt, M., Schuler, T. V., and Andreassen, L. M.: Sensitivities of
glacier mass balance and runoff to climate perturbations in Norway, Ann. Glaciol., 56, 79–88, 2015.
Escanilla-Minchel, R., Alcayaga, H., Soto-Alvarez, M., Kinnard, C., and
Urrutia, R.: Evaluation of the Impact of Climate Change on Runoff Generation
in an Andean Glacier Watershed, Water, 12, 3547, https://doi.org/10.3390/w12123547, 2020.
Fiddes, J. and Gruber, S.: TopoSCALE v.1.0: downscaling gridded climate data in complex terrain, Geosci. Model Dev., 7, 387–405, https://doi.org/10.5194/gmd-7-387-2014, 2014.
Fitzpatrick, N., Radić, V., and Menounos, B.: A multi-season investigation of glacier surface roughness lengths through in situ and remote observation, The Cryosphere, 13, 1051–1071, https://doi.org/10.5194/tc-13-1051-2019, 2019.
Fujita, K.: Effect of precipitation seasonality on climatic sensitivity of
glacier mass balance, Earth Planet. Sci. Lett., 276, 14–19, 2008.
Gabbi, J., Carenzo, M., Pellicciotti, F., Bauder, A., and Funk, M.: A
comparison of empirical and physically based glacier surface melt models for
long-term simulations of glacier response, J. Glaciol., 60,
1140–1154, 2014.
Gerbaux, M., Genthon, C., Etchevers, P., Vincent, C., and Dedieu, J.:
Surface mass balance of glaciers in the French Alps: distributed modeling
and sensitivity to climate change, J. Glaciol., 51, 561–572, 2005.
Grah, O. and Beaulieu, J.: The effect of climate change on glacier ablation
and baseflow support in the Nooksack River basin and implications on Pacific
salmonid species protection and recovery, Climatic Change, 120, 657–670,
2013.
Harpold, A. A. and Brooks, P. D.: Humidity determines snowpack ablation
under a warming climate, P. Natl. Acad. Sci. USA,
115, 1215–1220, 2018.
Harrison, W., Cox, L., Hock, R., March, R., and Pettit, E.: Implications for
the dynamic health of a glacier from comparison of conventional and
reference-surface balances, Ann. Glaciol., 50, 25–30, 2009.
Hersbach, H. and Dee, D.: ERA5 reanalysis is in production, ECMWF
newsletter, 147, 5–6, 2016.
Hirose, J. and Marshall, S.: Glacier meltwater contributions and
glaciometeorological regime of the Illecillewaet River Basin, British
Columbia, Canada, Atmos.-Ocean, 51, 416–435, 2013.
Hock, R.: A distributed temperature-index ice-and snowmelt model including
potential direct solar radiation, J. Glaciol., 45, 101–111, 1999.
Hock, R.: Temperature index melt modelling in mountain areas, J.
Hydrol., 282, 104–115, 2003.
Hock, R.: Glacier melt: a review of processes and their modelling, Prog. Phys. Geog., 29, 362–391, https://doi.org/10.1191/0309133305pp453ra, 2005.
Hock, R. and Holmgren, B.: Some aspects of energy balance and ablation of
Storglaciären, northern Sweden, Geogr. Ann. A, 78, 121–131, 1996.
Hock, R. and Holmgren, B.: A distributed surface energy-balance model for
complex topography and its application to Storglaciären, Sweden, J. Glaciol., 51, 25–36, 2005.
Hock, R. and Huss, M.: Glaciers and climate change, in: Climate
Change, chapt. 9, 3rd edn., edited by: Letcher, T. M., Elsevier, https://doi.org/10.1016/B978-0-12-821575-3.00009-8, 2021.
Hock, R., Radić, V., and De Woul, M.: Climate sensitivity of
Storglaciären, Sweden: an intercomparison of mass-balance models using
ERA-40 re-analysis and regional climate model data, Ann. Glaciol.,
46, 342–348, 2007.
Hock, R., Bliss, A., Marzeion, B., Giesen, R. H., Hirabayashi, Y., Huss, M.,
Radić, V., and Slangen, A. B.: GlacierMIP–A model intercomparison of
global-scale glacier mass-balance models and projections, J. Glaciol., 65, 453–467, 2019.
Hofer, M., Mölg, T., Marzeion, B., and Kaser, G.: Empirical-statistical
downscaling of reanalysis data to high-resolution air temperature and
specific humidity above a glacier surface (Cordillera Blanca, Peru), J. Geophys. Res.-Atmos., 115, https://doi.org/10.1029/2009JD012556, 2010.
Hofer, M., Marzeion, B., and Mölg, T.: Comparing the skill of different
reanalyses and their ensembles as predictors for daily air temperature on a
glaciated mountain (Peru), Clim. Dyn., 39, 1969–1980, 2012.
Hofer, M., Marzeion, B., and Mölg, T.: A statistical downscaling method for daily air temperature in data-sparse, glaciated mountain environments, Geosci. Model Dev., 8, 579–593, https://doi.org/10.5194/gmd-8-579-2015, 2015.
Hunter, C., Moore, R. D., and McKendry, I.: Evaluation of the North American
Regional Reanalysis (NARR) precipitation fields in a topographically complex
domain, Hydrol. Sci. J., 65, 786–799, 2020.
Huss, M. and Fischer, M.: Sensitivity of Very Small Glaciers in the Swiss
Alps to Future Climate Change, Front. Earth Sci., 4, https://doi.org/10.3389/feart.2016.00034, 2016.
Huss, M. and Hock, R.: A new model for global glacier change and sea-level
rise, Front. Earth Sci., 3, https://doi.org/10.3389/feart.2015.00054, 2015.
Huss, M. and Hock, R.: Global-scale hydrological response to future glacier
mass loss, Nat. Clim. Change, 8, 135–140, 2018.
Huss, M., Hock, R., Bauder, A., and Funk, M.: Conventional versus
reference-surface mass balance, J. Glaciol., 58, 278–286, 2012.
Huss, M., Bookhagen, B., Huggel, C., Jacobsen, D., Bradley, R. S., Clague,
J. J., Vuille, M., Buytaert, W., Cayan, D. R., Greenwood, G., Mark, B. G.,
Milner, A. M., Weingartner, R., and Winder, M.: Toward mountains without
permanent snow and ice, Earth's Future, 5, 418–435, 2017.
Immerzeel, W. W., Petersen, L., Ragettli, S., and Pellicciotti, F.: The
importance of observed gradients of air temperature and precipitation for
modeling runoff from a glacierized watershed in the Nepalese Himalayas,
Water Resour. Res., 50, 2212–2226, 2014.
IPCC: 2013: Climate Change 2013: The Physical Science Basis, Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M.,
Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M.,
Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA,
1535 pp., ISBN 978-1-107-05799-1, 2013.
Jarosch, A. H., Anslow, F. S., and Clarke, G. K. C.: High-resolution
precipitation and temperature downscaling for glacier models, Clim. Dyn.,
38, 391–409, 2012.
Jennings, K. S., Winchell, T. S., Livneh, B., and Molotch, N. P.: Spatial
variation of the rain–snow temperature threshold across the Northern
Hemisphere, Nat. Commun., 9, 1148, https://doi.org/10.1038/s41467-018-03629-7, 2018.
Johnson, E. and Rupper, S.: An Examination of Physical Processes That
Trigger the Albedo-Feedback on Glacier Surfaces and Implications for
Regional Glacier Mass Balance Across High Mountain Asia, Front. Earth Sci., 8, https://doi.org/10.3389/feart.2020.00129, 2020.
Jones, P. A.: Cloud-Cover Distributions and Correlations, J. Appl. Meteorol. Clim., 31, 732–741, 1992.
Kinnard, C., Ginot, P., Surazakov, A., MacDonell, S., Nicholson, L., Patris,
N., Rabatel, A., Rivera, A., and Squeo, F. A.: Mass Balance and Climate
History of a High-Altitude Glacier, Desert Andes of Chile, Front. Earth Sci., 8, https://doi.org/10.3389/feart.2020.00040, 2020.
Klok, E. and Oerlemans, J.: Model study of the spatial distribution of the
energy and mass balance of Morteratschgletscher, Switzerland, J. Glaciol., 48, 505–518, 2002.
Klok, E. and Oerlemans, J.: Modelled climate sensitivity of the mass balance
of Morteratschgletscher and its dependence on albedo parameterization,
Int. J. Climatol., 24, 231–245, 2004.
Knap, W., Reijmer, C., and Oerlemans, J.: Narrowband to broadband conversion
of Landsat TM glacier albedos, Int. J. Remote Sens., 20,
2091–2110, 1999.
Koppes, M., Conway, H., Rasmussen, L. A., and Chernos, M.: Deriving mass balance and calving variations from reanalysis data and sparse observations, Glaciar San Rafael, northern Patagonia, 1950–2005, The Cryosphere, 5, 791–808, https://doi.org/10.5194/tc-5-791-2011, 2011.
Kronenberg, M., Barandun, M., Hoelzle, M., Huss, M., Farinotti, D., Azisov,
E., Usubaliev, R., Gafurov, A., Petrakov, D., and Kääb, A.:
Mass-balance reconstruction for Glacier No. 354, Tien Shan, from 2003 to
2014, Ann. Glaciol., 57, 92–102, 2016.
Lutz, S., Anesio, A. M., Jorge Villar, S. E., and Benning, L. G.: Variations
of algal communities cause darkening of a Greenland glacier, FEMS
Microbiol. Ecol., 89, 402414, https://doi.org/10.1111/1574-6941.12351, 2014.
MacDougall, A. H. and Flowers, G. E.: Spatial and Temporal Transferability
of a Distributed Energy-Balance Glacier Melt Model, J. Climate, 24,
1480–1498, 2011.
MacDonell, S., Kinnard, C., Mölg, T., Nicholson, L., and Abermann, J.: Meteorological drivers of ablation processes on a cold glacier in the semi-arid Andes of Chile, The Cryosphere, 7, 1513–1526, https://doi.org/10.5194/tc-7-1513-2013, 2013.
Machguth, H., Purves, R. S., Oerlemans, J., Hoelzle, M., and Paul, F.: Exploring uncertainty in glacier mass balance modelling with Monte Carlo simulation, The Cryosphere, 2, 191–204, https://doi.org/10.5194/tc-2-191-2008, 2008.
Machguth, H., Paul, F., Kotlarski, S., and Hoelzle, M.: Calculating
distributed glacier mass balance for the Swiss Alps from regional climate
model output: A methodical description and interpretation of the results,
J. Geophys. Res.-Atmos., 114, https://doi.org/10.1029/2009JD011775, 2009.
Marshall, S. J.: Meltwater run-off from Haig Glacier, Canadian Rocky Mountains, 2002–2013, Hydrol. Earth Syst. Sci., 18, 5181–5200, https://doi.org/10.5194/hess-18-5181-2014, 2014.
Marshall, S. J. and Miller, K.: Seasonal and interannual variability of melt-season albedo at Haig Glacier, Canadian Rocky Mountains, The Cryosphere, 14, 3249–3267, https://doi.org/10.5194/tc-14-3249-2020, 2020.
Marshall, S. J., White, E. C., Demuth, M. N., Bolch, T., Wheate, R.,
Menounos, B., Beedle, M. J., and Shea, J. M.: Glacier water resources on the
eastern slopes of the Canadian Rocky Mountains, Can. Water Resour.
J., 36, 109–134, 2011.
Marzeion, B., Jarosch, A. H., and Hofer, M.: Past and future sea-level change from the surface mass balance of glaciers, The Cryosphere, 6, 1295–1322, https://doi.org/10.5194/tc-6-1295-2012, 2012.
Menounos, B., Hugonnet, R., Shean, D., Gardner, A., Howat, I., Berthier, E.,
Pelto, B., Tennant, C., Shea, J., and Noh, M. J.: Heterogeneous changes in
western North American glaciers linked to decadal variability in zonal wind
strength, Geophys. Res. Lett., 46, 200–209, 2019.
Mesinger, F., DiMego, G., Kalnay, E., Mitchell, K., Shafran, P. C.,
Ebisuzaki, W., Joviæ, D., Woollen, J., Rogers, E., and Berbery, E. H.:
North American regional reanalysis, B. Am. Meteorol.
Soc., 87, 343–360, 2006.
Milner, A. M., Khamis, K., Battin, T. J., Brittain, J. E., Barrand, N. E.,
Füreder, L., Cauvy-Fraunié, S., Gíslason, G. M., Jacobsen, D.,
Hannah, D. M., Hodson, A. J., Hood, E., Lencioni, V., Ólafsson, J. S.,
Robinson, C. T., Tranter, M., and Brown, L. E.: Glacier shrinkage driving
global changes in downstream systems, P. Natl. Acad.
Sci. USA, 114, 9770–9778, 2017.
Mölg, T., Cullen, N. J., Hardy, D. R., Kaser, G., and Klok, L.: Mass
balance of a slope glacier on Kilimanjaro and its sensitivity to climate,
Int. J. Climatol., 28, 881–892, 2008.
Mölg, T., Großhauser, M., Hemp, A., Hofer, M., and Marzeion, B.:
Limited forcing of glacier loss through land-cover change on Kilimanjaro,
Nat. Clim. Change, 2, 254, 2012.
Moore, R., Fleming, S., Menounos, B., Wheate, R., Fountain, A., Stahl, K.,
Holm, K., and Jakob, M.: Glacier change in western North America: influences
on hydrology, geomorphic hazards and water quality, Hydrol. Process., 23, 42–61, 2009.
Munro, D. S.: Surface roughness and bulk heat transfer on a glacier:
comparison with eddy correlation, J. Glaciol., 35, 343–348, 1989.
Munro, D. S.: Linking the weather to glacier hydrology and mass balance at Peyto glacier, in: Peyto Glacier, One Century of Science, edited by: Demuth, M. N., Munro, D. S., and Young, G. J., 278 pp., National Water Research Institute, ISBN 0-660-17683-1, 2006.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models part I – A discussion of principles, J. Hydrol., 10,
282–290, 1970.
Oerlemans, J.: Glaciers and climate change, CRC Press, 160 pp., ISBN 9789026518133, 2001.
Oerlemans, J. and Fortuin, J. P. F.: Sensitivity of glaciers and small ice caps to greenhouse warming, Science, 258, 115–117, 1992.
Oerlemans, J. and Knap, W.: A 1 year record of global radiation and albedo
in the ablation zone of Morteratschgletscher, Switzerland, J. Glaciol., 44, 231–238, 1998.
Oerlemans, J., Anderson, B., Hubbard, A., Huybrechts, P., Johannesson, T.,
Knap, W., Schmeits, M., Stroeven, A., Van de Wal, R., and Wallinga, J.:
Modelling the response of glaciers to climate warming, Clim. Dynam., 14,
267–274, 1998.
Oerlemans, J., Giesen, R., and Van den Broeke, M.: Retreating alpine
glaciers: increased melt rates due to accumulation of dust (Vadret da
Morteratsch, Switzerland), J. Glaciol., 55, 729–736, 2009.
Oke, T.: Boundary Layer Climates, 2nd edition, Routeledge, 464 pp., ISBN 9780415043199, 1987.
Østby, T. I., Schuler, T. V., Hagen, J. O., Hock, R., Kohler, J., and Reijmer, C. H.: Diagnosing the decline in climatic mass balance of glaciers in Svalbard over 1957–2014, The Cryosphere, 11, 191–215, https://doi.org/10.5194/tc-11-191-2017, 2017.
Paul, F. and Kotlarski, S.: Forcing a Distributed Glacier Mass Balance Model
with the Regional Climate Model REMO. Part II: Downscaling Strategy and
Results for Two Swiss Glaciers, J. Clim., 23, 1607–1620, 2010.
Pellicciotti, F., Brock, B., Strasser, U., Burlando, P., Funk, M., and Corripio, J.: An enhanced temperature-index glacier melt model including the shortwave radiation balance: development and testing for Haut Glacier d’Arolla, Switzerland, Journal of Glaciol., 51, 573–587, 2005.
Petersen, L. and Pellicciotti, F.: Spatial and temporal variability of air
temperature on a melting glacier: Atmospheric controls, extrapolation
methods and their effect on melt modeling, Juncal Norte Glacier, Chile,
J. Geophys. Res.-Atmos., 116, https://doi.org/10.1029/2011JD015842, 2011.
Petts, G., Gurnell, A., and Milner, A.: Eco-hydrology: new opportunities for
research on glacier-fed rivers, Peyto Glacier: One Century of Science, 8,
255–275, 2006.
Plüss, C. and Ohmura, A.: Longwave Radiation on Snow-Covered Mountainous
Surfaces, J. Appl. Meteorol., 36, 818–824, 1997.
Prudhomme, C., Wilby, R. L., Crooks, S., Kay, A. L., and Reynard, N. S.:
Scenario-neutral approach to climate change impact studies: application to
flood risk, J. Hydrol., 390, 198–209, 2010.
Radić, V. and Hock, R.: Modeling future glacier mass balance and volume
changes using ERA-40 reanalysis and climate models: A sensitivity study at
Storglaciären, Sweden, J. Geophys. Res.-Earth,
111, https://doi.org/10.1029/2005JF000440, 2006.
Radić, V., Bliss, A., Beedlow, A. C., Hock, R., Miles, E., and Cogley,
J. G.: Regional and global projections of twenty-first century glacier mass
changes in response to climate scenarios from global climate models, Clim.
Dynam., 42, 37–58, 2014.
Regine/meltmodel: A Distributed Surface Mass Balance Model, GitHub [code], https://github.com/regine/meltmodel, last access: 22 February 2021.
Rea, B. R.: Defining modern day Area-Altitude Balance Ratios (AABRs) and
their use in glacier-climate reconstructions, Quat. Sci. Rev.,
28, 237–248, 2009.
Réveillet, M., Vincent, C., Six, D., and Rabatel, A.: Which empirical
model is best suited to simulate glacier mass balances?, J. Glaciol., 63, 39–54, 2017.
Réveillet, M., Six, D., Vincent, C., Rabatel, A., Dumont, M., Lafaysse, M., Morin, S., Vionnet, V., and Litt, M.: Relative performance of empirical and physical models in assessing the seasonal and annual glacier surface mass balance of Saint-Sorlin Glacier (French Alps), The Cryosphere, 12, 1367–1386, https://doi.org/10.5194/tc-12-1367-2018, 2018.
Rupper, S. and Roe, G.: Glacier Changes and Regional Climate: A Mass and
Energy Balance Approach, J. Clim., 21, 5384–5401, 2008.
Rye, C. J., Arnold, N. S., Willis, I. C., and Kohler, J.: Modeling the
surface mass balance of a high Arctic glacier using the ERA-40 reanalysis,
J. Geophys. Res.-Earth, 115, https://doi.org/10.1029/2009JF001364, 2010.
Sandford, R. W.: The Columbia Icefield, 3rd edn., Rocky Mountain Books Ltd,
Rocky Mountain Books,
ISBN 9781771601542, 2016.
Schindler, D. W. and Donahue, W. F.: An impending water crisis in Canada's
western prairie provinces, P. Natl. Acad. Sci. USA,
103, 7210–7216, 2006.
Shean, D. E., Alexandrov, O., Moratto, Z. M., Smith, B. E., Joughin, I. R.,
Porter, C., and Morin, P.: An automated, open-source pipeline for mass
production of digital elevation models (DEMs) from very-high-resolution
commercial stereo satellite imagery, ISPRS J. Photogramm., 116, 101–117, 2016.
Shea, J. M. and Moore, R. D.: Prediction of spatially distributed
regional-scale fields of air temperature and vapor pressure over mountain
glaciers, J. Geophys. Res.-Atmos., 115, https://doi.org/10.1029/2010JD014351, 2010.
Smith, T., Smith, M. W., Chambers, J. R., Sailer, R., Nicholson, L., Mertes,
J., Quincey, D. J., Carrivick, J. L., and Stiperski, I.: A scale-dependent
model to represent changing aerodynamic roughness of ablating glacier ice
based on repeat topographic surveys, J. Glaciol., 66, 950–964,
2020.
Sunako, S., Fujita, K., Sakai, A., and Kayastha, R. B.: Mass balance of
Trambau Glacier, Rolwaling region, Nepal Himalaya: in-situ observations,
long-term reconstruction and mass-balance sensitivity, J. Glaciol., 65, 605–616, 2019.
Takeuchi, N., Kohshima, S., and Seko, K.: Structure, formation, and
darkening process of albedo-reducing material (cryoconite) on a Himalayan
glacier: a granular algal mat growing on the glacier, Arct. Antarct. Alp. Res., 33, 115–122, 2001.
Tennant, C. and Menounos, B.: Glacier change of the Columbia Icefield,
Canadian Rocky Mountains, 1919–2009, J. Glaciol., 59, 671–686,
2013.
Teutschbein, C. and Seibert, J.: Bias correction of regional climate model
simulations for hydrological climate-change impact studies: Review and
evaluation of different methods, J. Hydrol., 456–457, 12–29, 2012.
Thibert, E., Blanc, R., Vincent, C., and Eckert, N.: Glaciological and
volumetric mass-balance measurements: error analysis over 51 years for
Glacier de Sarennes, French Alps, J. Glaciol., 54, 522–532, 2008.
Trouet, V. and Van Oldenborgh, G. J.: KNMI Climate Explorer: a web-based
research tool for high-resolution paleoclimatology, Tree-Ring Res., 69,
3–13, 2013.
Trubilowicz, J. W., Shea, J. M., Jost, G., and Moore, R. D.: Suitability of
North American Regional Reanalysis (NARR) output for hydrologic modelling
and analysis in mountainous terrain, Hydrol. Process., 30, 2332–2347,
2016.
Vionnet, V., Marsh, C. B., Menounos, B., Gascoin, S., Wayand, N. E., Shea, J., Mukherjee, K., and Pomeroy, J. W.: Multi-scale snowdrift-permitting modelling of mountain snowpack, The Cryosphere, 15, 743–769, https://doi.org/10.5194/tc-15-743-2021, 2021.
Wagenbrenner, N. S., Forthofer, J. M., Lamb, B. K., Shannon, K. S., and Butler, B. W.: Downscaling surface wind predictions from numerical weather prediction models in complex terrain with WindNinja, Atmos. Chem. Phys., 16, 5229–5241, https://doi.org/10.5194/acp-16-5229-2016, 2016.
Wetterhall, F., Pappenberger, F., He, Y., Freer, J., and Cloke, H. L.:
Conditioning model output statistics of regional climate model precipitation
on circulation patterns, Nonlin. Processes Geophys., 19, 623–633, 2012.
Wheler, B. A.: Glacier melt modelling in the Donjek Range, St. Elias
Mountains, Yukon Territory, 2009, MSc thesis
Dept. of Earth Sciences-Simon Fraser
University,
https://summit.sfu.ca/item/9434 (last access: 4 April 2021), 2009.
Yang, M., Li, Z., Anjum, M. N., Zhang, X., Gao, Y., and Xu, C.: On the
importance of subsurface heat flux for estimating the mass balance of alpine
glaciers, Global Planet. Change, 207, 103651, https://doi.org/10.1016/j.gloplacha.2021.103651, 2021.
Yang, W., Yao, T., Guo, X., Zhu, M., Li, S., and Kattel, D. B.: Mass balance
of a maritime glacier on the southeast Tibetan Plateau and its climatic
sensitivity, J. Geophys. Res.-Atmos., 118, 9579–9594,
2013.
Zemp, M., Hoelzle, M., and Haeberli, W.: Six decades of glacier mass-balance
observations: a review of the worldwide monitoring network, Ann. Glaciol., 50, 101–111, 2009.
Zemp, M., Thibert, E., Huss, M., Stumm, D., Rolstad Denby, C., Nuth, C., Nussbaumer, S. U., Moholdt, G., Mercer, A., Mayer, C., Joerg, P. C., Jansson, P., Hynek, B., Fischer, A., Escher-Vetter, H., Elvehøy, H., and Andreassen, L. M.: Reanalysing glacier mass balance measurement series, The Cryosphere, 7, 1227–1245, https://doi.org/10.5194/tc-7-1227-2013, 2013.
Zolles, T., Maussion, F., Galos, S. P., Gurgiser, W., and Nicholson, L.: Robust uncertainty assessment of the spatio-temporal transferability of glacier mass and energy balance models, The Cryosphere, 13, 469–489, https://doi.org/10.5194/tc-13-469-2019, 2019.
Short summary
This study implements a physically based, distributed glacier mass balance model in a context of sparse direct observations. Carefully constraining model parameters with ancillary data allowed for accurately reconstructing the mass balance of Saskatchewan Glacier over a 37-year period. We show that the mass balance sensitivity to warming is dominated by increased melting and that changes in glacier albedo and air humidity are the leading causes of increased glacier melt under warming scenarios.
This study implements a physically based, distributed glacier mass balance model in a context of...
