Articles | Volume 13, issue 6
https://doi.org/10.5194/essd-13-2875-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-2875-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
16 Jun 2021
Data description paper |
| 16 Jun 2021
| 16 Jun 2021
Hydrometeorological, glaciological and geospatial research data from the Peyto Glacier Research Basin in the Canadian Rockies
Dhiraj Pradhananga
CORRESPONDING AUTHOR
Centre for Hydrology, University of Saskatchewan, 116A 1151 Sidney
St, Canmore, AB, T1W 3G1, Canada
Department of Meteorology, Tri-Chandra Multiple Campus, Tribhuvan
University, Kathmandu, Nepal
The Small Earth Nepal, P.O. Box 20533, Kathmandu, Nepal
John W. Pomeroy
Centre for Hydrology, University of Saskatchewan, 116A 1151 Sidney
St, Canmore, AB, T1W 3G1, Canada
Caroline Aubry-Wake
Centre for Hydrology, University of Saskatchewan, 116A 1151 Sidney
St, Canmore, AB, T1W 3G1, Canada
D. Scott Munro
Centre for Hydrology, University of Saskatchewan, 116A 1151 Sidney
St, Canmore, AB, T1W 3G1, Canada
Department of Geography, University of Toronto Mississauga, 3359 Mississauga Road,
Mississauga, ON,
L5L 1C6, Canada
Joseph Shea
Centre for Hydrology, University of Saskatchewan, 116A 1151 Sidney
St, Canmore, AB, T1W 3G1, Canada
Geography Program, University of Northern British Columbia, 3333
University Way, Prince George, BC, V2N 4Z9, Canada
Michael N. Demuth
Centre for Hydrology, University of Saskatchewan, 116A 1151 Sidney
St, Canmore, AB, T1W 3G1, Canada
Geological Survey of Canada, Natural Resources Canada, 601
Booth St, Ottawa, ON, K1A 0E8, Canada
University of Victoria, 3800 Finnerty Road,
Victoria, BC, V8P 5C2, Canada
Nammy Hang Kirat
The Small Earth Nepal, P.O. Box 20533, Kathmandu, Nepal
Brian Menounos
Geography Program, University of Northern British Columbia, 3333
University Way, Prince George, BC, V2N 4Z9, Canada
Natural Resources and Environmental Studies Institute, University of
Northern British Columbia, 3333 University Way, Prince George, BC V2N 4Z9, Canada
Kriti Mukherjee
Geography Program, University of Northern British Columbia, 3333
University Way, Prince George, BC, V2N 4Z9, Canada
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Julie M. Thériault, Stephen J. Déry, John W. Pomeroy, Hilary M. Smith, Juris Almonte, André Bertoncini, Robert W. Crawford, Aurélie Desroches-Lapointe, Mathieu Lachapelle, Zen Mariani, Selina Mitchell, Jeremy E. Morris, Charlie Hébert-Pinard, Peter Rodriguez, and Hadleigh D. Thompson
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This article discusses the data that were collected during the Storms and Precipitation Across the continental Divide (SPADE) field campaign in spring 2019 in the Canadian Rockies, along the Alberta and British Columbia border. Various instruments were installed at five field sites to gather information about atmospheric conditions focussing on precipitation. Details about the field sites, the instrumentation used, the variables collected, and the collection methods and intervals are presented.
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.
Richard Essery, Hyungjun Kim, Libo Wang, Paul Bartlett, Aaron Boone, Claire Brutel-Vuilmet, Eleanor Burke, Matthias Cuntz, Bertrand Decharme, Emanuel Dutra, Xing Fang, Yeugeniy Gusev, Stefan Hagemann, Vanessa Haverd, Anna Kontu, Gerhard Krinner, Matthieu Lafaysse, Yves Lejeune, Thomas Marke, Danny Marks, Christoph Marty, Cecile B. Menard, Olga Nasonova, Tomoko Nitta, John Pomeroy, Gerd Schädler, Vladimir Semenov, Tatiana Smirnova, Sean Swenson, Dmitry Turkov, Nander Wever, and Hua Yuan
The Cryosphere, 14, 4687–4698, https://doi.org/10.5194/tc-14-4687-2020, https://doi.org/10.5194/tc-14-4687-2020, 2020
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Climate models are uncertain in predicting how warming changes snow cover. This paper compares 22 snow models with the same meteorological inputs. Predicted trends agree with observations at four snow research sites: winter snow cover does not start later, but snow now melts earlier in spring than in the 1980s at two of the sites. Cold regions where snow can last until late summer are predicted to be particularly sensitive to warming because the snow then melts faster at warmer times of year.
Nikolas O. Aksamit and John W. Pomeroy
The Cryosphere, 14, 2795–2807, https://doi.org/10.5194/tc-14-2795-2020, https://doi.org/10.5194/tc-14-2795-2020, 2020
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In cold regions, it is increasingly important to quantify the amount of water stored as snow at the end of winter. Current models are inconsistent in their estimates of snow sublimation due to atmospheric turbulence. Specific wind structures have been identified that amplify potential rates of surface and blowing snow sublimation during blowing snow storms. The recurrence of these motions has been modeled by a simple scaling argument that has its foundation in turbulent boundary layer theory.
Cited articles
Bitz, C. M. and Battisti, D. S.: Interannual to decadal variability in
climate and the glacier mass balance in Washington, Western Canada, and
Alaska, J. Climate, 12, 3181–3196,
https://doi.org/10.1175/1520-0442(1999)012<3181:ITDVIC>2.0.CO;2,
1999.
Centre for Hydrology: CRHM: The Cold Regions Hydrological Model, available at: https://research-groups.usask.ca/hydrology/modelling/crhm.php, last access: 26 March 2021.
Cogley, J. G., Hock, R., Rasmussen, L. A., Arendt, A. A., Bauder, A.,
Braithwaite, R. J., Jansson, P., Kaser, G., Möller, M., Nicholson, L.,
and Zemp, M.: Glossary of Glacier Mass Balance and Related Terms, in IHP-VII
Technical Documents in Hydrology No. 86, IACS Contribution No. 2, Paris, available at: https://wgms.ch/downloads/Cogley_etal_2011.pdf (last access: 25 May 2021),
2011.
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.
Cutler, P. M.: A Reflectivity Parameterization for use in Distributed
Glacier Melt Models, Based on Measurements from Peyto Glacier, Canada, in:
Peyto Glacier: One Century of Science, edited by: Demuth, M. N., Munro, D. S.,
and Young, G. J., National Hydrology Research Institute Science
Report 8, National Water Research Institute, Saskatchewan, Canada, 179–200, ISBN 0-660-17683-1, 2006.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P.,
Köhler, M., Matricardi, M., Mcnally, A. P., Monge-Sanz, B. M.,
Morcrette, J. J., Park, B. K., Peubey, C., de Rosnay, P., Tavolato, C.,
Thépaut, J. N., and Vitart, F.: The ERA-Interim reanalysis: Configuration
and performance of the data assimilation system, Q. J. Roy. Meteor. Soc.,
137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Demuth, M., Sekerka, J., and Bertollo, S.: Glacier Mass Balance
Observations for Peyto Glacier, Alberta, Canada (updated to
2007), Spatially Referenced Data Set Contribution to the National Glacier-Climate Observing System, State and Evolution
of Canada's Glaciers, Geological Survey of Canada, Ottawa, 2009.
Demuth, M. N. and Ednie, M.: A glacier condition and thresholding rubric for
use in assessing protected area / ecosystem functioning, (May), Geological Survey of Canada,
https://doi.org/10.4095/297892, 53 pp., 2016.
Demuth, M. N. and Hopkinson, C.: Glacier elevation data derived from Airborne Laser Terrain Mapper surveys over the reference monitoring glaciers of the Canadian Western and Northern Cordillera, August, 2006, Geological Survey of Canada and the Canadian Consortium for LiDAR Environmental Applications Research, State and Evolution of Canada's Glaciers/ESS Climate Change Geoscience Programme Spatially Referenced Dataset, ESRI 3D ASCII files on archival hard drive, 2013.
Demuth, M. N. and Keller, R.: An assessment of the mass balance of Peyto
glacier (1966–1995) and its relation to Recent and past-century climatic
variability, in: Peyto Glacier: One Century of Science, edited by:
Demuth, M. N., Munro, D. S., and Young, G. J., National Hydrology
Research Institute, Saskatoon, Saskatchewan, Canada, 83–132, 2006.
Demuth, M. N., Munro, D. S., and Young, G. J. (Eds.): Peyto Glacier: one
century of science, National Hydrology Research Institute, Saskatoon,
Saskatchewan, Canada, 2006.
Demuth, M. N., Pinard, V., Pietroniro, A., Luckman, B. H., Hopkinson, C.,
Dornes, P., and Comeau, L.: Recent and past-century variations in the glacier
resources of the Canadian Rocky Mountains: Nelson River system, Terra
glacialis, 11, 27–52, available at: http://scholar.ulethbridge.ca/hopkinson/files/demuthetal_tg11.pdf (last access: 26 March 2021), 2008.
Dyurgerov, M.: Glacier mass balance and regime: data of measurements and
analysis, edited by: Meier, M. and Armstrong, R., Institute of Arctic and
Alpine Research, University of Colorado, Boulder, Colorado, 2002.
Gao, B.: NDWI – A normalized difference water index for remote sensing of
vegetation liquid water from space, Remote Sens. Environ., 58, 257–266,
https://doi.org/10.1016/S0034-4257(96)00067-3, 1996.
Goodison, B.: An Analysis of Climate and Runoff Events for Peyto Glacier,
Alberta, Environment Canada, Ottawa, Canada, 1972.
Gudmundsson, L.: qmap: Statistical transformations for post-processing
climate model output. R package version 1.0-4., R Packag. version 1.0-4, available at: https://cran.r-project.org/web/packages/qmap/qmap.pdf (last access: 26 May 2021),
2016.
Hall, D. K. and Riggs, G. A.: Accuracy assessment of the MODIS snow
products, Hydrol. Process., 21, 1534–1547, https://doi.org/10.1002/hyp,
2007.
Hall, D. K., Riggs, G. A., Salomonson, V. V., DiGirolamo, N. E., and Bayr, K.
J.: MODIS snow-cover products, Remote Sens. Environ., 83, 181–194,
https://doi.org/10.1016/S0034-4257(02)00095-0, 2002.
Harder, P. and Pomeroy, J. W.: Estimating precipitation phase using a
psychrometric energy balance method, Hydrol. Process., 27, 1901–1914,
https://doi.org/10.1002/hyp.9799, 2013.
Holdsworth, G., Demuth, M. N., and Beck., T. M. H.: Radar measurements of ice
thickness on Peyto Glacier, in: Peyto Glacier: One Century of Science, edited
by: Demuth, M. N., Munro, D. S., and Young, G. J., National
Hydrology Research Institute Science Report 8, Saskatoon, Saskatchewan, Canada, 59–82,
2006.
Hopkinson, C. and Young, G. J.: The effect of glacier wastage on the flow of
the Bow River at Banff, Alberta, 1951–1993, Hydrol. Process., 12,
1745–1762, https://doi.org/10.1002/(SICI)1099-1085(199808/09)12:10/11<1745::AID-HYP692>3.0.CO;2-S, 1998.
IP3: Improving Processes & Parameterization for Prediction in Cold
Regions Hydrology, IP3 Res. Netw. Data Arch, available at: http://www.usask.ca/ip3/data.php (last access: 7 July 2020), 2010.
Ji, L., Zhang, L., and Wylie, B.: Analysis of Dynamic Thresholds for
the Normalized Difference Water Index, Photogramm. Eng. Remote Sens., 75, 1307–1317, available at: https://www.ingentaconnect.com/content/asprs/pers/2009/00000075/00000011/art00004?crawler=true&mimetype=application/pdf (last access: 26 May 2021),
2009.
Johnson, P. G. and Power, J. M.: Flood and landslide events, Peyto Glacier
terminus, Alberta, Canada, 11–14 July 1983, J. Glaciol., 31, 86–91,
1985.
Kehrl, L. M., Hawley, R. L., Osterberg, E. C., Winski, D. A., and Lee, A. P.:
Volume loss from lower Peyto Glacier, Alberta, Canada, between 1966 and
2010, J. Glaciol., 60, 51–56, https://doi.org/10.3189/2014JoG13J039, 2014.
Krogh, S. A., Pomeroy, J. W., and McPhee, J.: Physically Based Mountain
Hydrological Modeling Using Reanalysis Data in Patagonia, J. Hydrometeorol.,
16, 172–193, https://doi.org/10.1175/JHM-D-13-0178.1, 2015.
Lafrenière, M. and Sharp, M.: Wavelet analysis of inter-annual
variability in the runoff regimes of glacial and nival stream catchments,
Bow Lake, Alberta, Hydrol. Process., 17, 1093–1118,
https://doi.org/10.1002/hyp.1187, 2003.
Letréguilly, A.: Relation between the mass balance of western Canadian
mountain glaciers and meteorological data, J. Glaciol., 34, 11–18,
1988.
Letréguilly, A. and Reynaud, L.: Spatial patterns of mass-balance
fluctuations of North American glaciers, J. Glaciol., 35, 163–168,
1989.
Liang, S.: Narrowband to broadband conversions of land surface albedo: I.
Algorithms, Remote Sens. Environ., 76, 213–238,
https://doi.org/10.1016/S0034-4257(00)00205-4, 2000.
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, https://doi.org/10.4296/cwrj3602823, 2011.
Matulla, C., Watson, E., Wagner, S., and Schöner, W.: Downscaled GCM projections of winter and summer mass balance for Peyto Glacier, Alberta, Canada (2000–2100) from ensemble simulations with ECHAM5-MPIOM, Int. J. Climatol., 29, 1550–1559, https://doi.org/10.1002/joc.1796, 2009.
McFeeters, S. K.: The use of the Normalized Difference Water Index (NDWI) in
the delineation of open water features, Int. J. Remote Sens., 17,
1425–1432, https://doi.org/10.1080/01431169608948714, 1996.
Menounos, B., Hugonnet, R., Shean, D., Gardner, A., Howat, I., Berthier, E.,
Pelto, B., Tennant, C., Shea, J., Noh, M., Brun, F., and Dehecq, A.:
Heterogeneous Changes in Western North American Glaciers Linked to Decadal
Variability in Zonal Wind Strength, Geophys. Res. Lett., 46, 200–209,
https://doi.org/10.1029/2018GL080942, 2019.
Mesinger, F., DiMego, G., Kalnay, E., Mitchell, K., Shafran, P. C., Ebisuzaki, W., Jović, D., Woollen, J., Rogers, E., Berbery, E. H., Ek, M. B., Fan, Y., Grumbine, R., Higgins, W., Li, H., Lin, Y., Manikin, G., Parrish, D., and Shi, W.: North American Regional Reanalysis, B. Am. Meteorol. Soc., 87, 3, 343–360, https://doi.org/10.1175/BAMS-87-3-343, 2006.
Munro, D. S.: Delays of supraglacial runoff from differently defined
microbasin areas on the Peyto Glacier, Hydrol. Process., 25, 2983–2994,
https://doi.org/10.1002/hyp.8124, 2011a.
Munro, D. S.: Peyto Creek hydrometeorological database (Peyto Creek Base
Camp AWS), IP3 Arch, available at: http://www.usask.ca/ip3/data.php (last access: 26 May 2021), 2011b.
Munro, D. S.: Creating a Runoff Record for an Ungauged Basin: Peyto Glacier,
2002–2007, in: Putting Prediction in Ungauged Basins into Practice, edited by:
Pomeroy, J. W., Spence, C., and Whitfield, P. H., Canadian Water
Resources Association, available at: http://balwois.com/wp-content/uploads/2014/02/131215-Putting-Prediction-in-Ungauged-Basins.pdf (last access: 26 May 2021),
197–204, 2013.
Munro, D. S.: The Hourly Peyto Glacier Base Camp Automatic Weather Station
Record, 1987–2018, available at: https://research-groups.usask.ca/hydrology/, last access: 26 March 2021.
Nuth, C. and Kääb, A.: Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change, The Cryosphere, 5, 271–290, https://doi.org/10.5194/tc-5-271-2011, 2011.
Ommanney, C. S. L.: Peyto Glacier: A Compendium of Information Prepared for
Parks Canada, Surface Water Division, National Hydrology Research Institute, Environment Canada, Saskatoon, Saskatchewan, NHRI Contribution No. 87062, S7N 3H5, ISSN 0838-1992, 1987.
Østrem, G.: Mass Balance Studies on Glaciers in Western Canada, 1965,
Geogr. Bull., 8, 81–107, 1966.
Østrem, G.: The Transient Snowline and Glacier Mass Balance in Southern British Columbia and Alberta, Canada, Geogr. Ann. A, , 55, 93–106, https://doi.org/10.1080/04353676.1973.11879883, 1973.
Pan, X., Yang, D., Li, Y., Barr, A., Helgason, W., Hayashi, M., Marsh, P., Pomeroy, J., and Janowicz, R. J.: Bias corrections of precipitation measurements across experimental sites in different ecoclimatic regions of western Canada, The Cryosphere, 10, 2347–2360, https://doi.org/10.5194/tc-10-2347-2016, 2016.
Pelto, B. M., Menounos, B., and Marshall, S. J.: Multi-year evaluation of airborne geodetic surveys to estimate seasonal mass balance, Columbia and Rocky Mountains, Canada, The Cryosphere, 13, 1709–1727, https://doi.org/10.5194/tc-13-1709-2019, 2019.
Pradhananga, D.: Response of Canadian Rockies Glacier Hydrology to Changing
Climate, University of Saskatchewan, Saskatoon, SK, Canada, available at: https://harvest.usask.ca/handle/10388/12854 (last access: 19 May 2020), 2020.
Pradhananga, D., Pomeroy, J. W., Aubry-Wake, C., Munro, D. S., Shea, J.,
Demuth, M. N., Kirat, N. H., Menounos, B., and Mukherjee, K.:
Hydrometeorological, glaciological and geospatial research data from the
Peyto Glacier Research Basin in the Canadian Rockies, Fed. Res. Data Repos.,
https://doi.org/10.20383/101.0259, 2020.
Rasouli, K., Pomeroy, J. W., Janowicz, J. R., Williams, T. J., and Carey, S. K.: A long-term hydrometeorological dataset (1993–2014) of a northern mountain basin: Wolf Creek Research Basin, Yukon Territory, Canada, Earth Syst. Sci. Data, 11, 89–100, https://doi.org/10.5194/essd-11-89-2019, 2019.
Saha, S., Moorthi, S., Pan, H. L., Wu, X., Wang, J., Nadiga, S., Tripp, P.,
Kistler, R., Woollen, J., Behringer, D., Liu, H., Stokes, D., Grumbine, R.,
Gayno, G., Wang, J., Hou, Y. T., Chuang, H. Y., Juang, H. M. H., Sela, J.,
Iredell, M., Treadon, R., Kleist, D., Van Delst, P., Keyser, D., Derber, J.,
Ek, M., Meng, J., Wei, H., Yang, R., Lord, S., Van Den Dool, H., Kumar, A.,
Wang, W., Long, C., Chelliah, M., Xue, Y., Huang, B., Schemm, J. K.,
Ebisuzaki, W., Lin, R., Xie, P., Chen, M., Zhou, S., Higgins, W., Zou, C.
Z., Liu, Q., Chen, Y., Han, Y., Cucurull, L., Reynolds, R. W., Rutledge, G.,
and Goldberg, M.: The NCEP climate forecast system reanalysis, B. Am.
Meteorol. Soc., 91, 1015–1057, https://doi.org/10.1175/2010BAMS3001.1, 2010.
Schiefer, E., Menounos, B., and Wheate, R.: Recent volume loss of British
Columbian glaciers, Canada, Geophys. Res. Lett., 34, L16503,
https://doi.org/10.1029/2007GL030780, 2007.
Sedgwick, J. K. and Henoch, W. E. S.: 1966 Peyto Glacier Map, Banff National
Park, Alberta, Environment Canada, IWD 1010, 1:10,000, Inland Waters Branch, Department of Energy, Mines and Resources, Part of 82N 10/E, 1975.
Sentlinger, G., Fraser, J., and Baddock, E.: Salt Dilution Flow Measurement:
Automation and Uncertainty, in HydroSenSoft, International Symposium and
Exhibition on Hydro-Environment Sensors and Software, p. 8, available at:
https://www.fathomscientific.com/wp-content/uploads/2018/12/HydroSense_AutoSalt_2019_V0.6.pdf (last access: 9 June 2021), 2019.
Seyfried, M. S.: Distribution and Application of Research Watershed Data, in: First Interagency Conference on Research in the Watersheds, edited by: Renard, K., McElroy, S., Gburek, W., Canfield, H., and Scott, R., USDA-ARS: Benson, Washington DC,, 573–578 2003.
Shea, J. M. and Marshall, S. J.: Atmospheric flow indices, regional climate,
and glacier mass balance in the Canadian Rocky Mountains, Int. J. Climatol.,
27, 233–247, https://doi.org/10.1002/joc.1398, 2007.
Shea, J. M., Moore, R. D., and Stahl, K.: Derivation of melt factors from
glacier mass-balance records in western Canada, J. Glaciol., 55,
123–130, https://doi.org/10.3189/002214309788608886, 2009.
Shook, K.: CRHMr: pre- and post- processing for the Cold Regions
Hydrological Modelling (CRHM) platform, GitHub, available at: https://github.com/CentreForHydrology/CRHMr (last
access: 8 January 2019),
2016a.
Shook, K.: Reanalysis: Creates Cold Regions Hydrological Modelling (CRHM)
platform observations files from reanalysis data, available at:
https://www.usask.ca/hydrology/RPkgs.php/ (last access: 26 March 2021), 2016b.
Smith, C. D.: Correcting the Wind Bias in Snowfall Measurements Made with a
Geonor T-200B Precipitation Gauge and Alter Wind Shield, CMOS Bulletin
SCMO, 36, 162–167, available at: http://www.cmos.ca/uploaded/web/members/Bulletin/Vol_36/b3605.pdf#page=16, (last access: 26 May 2021), 2007.
Smith, R. B.: The heat budget of the earth's surface deduced from space,
Yale Univ. Cent. Earth Obs., available at: https://yceo.yale.edu/sites/default/files/files/Surface_Heat_Budget_From_Space.pdf
(last access: 15 February 2018), p. 11, 2010.
Tennant, C. and Menounos, B.: Glacier change of the Columbia Icefield,
Canadian Rocky Mountains, 1919–2009, J. Glaciol., 59, 671–686,
https://doi.org/10.3189/2013JoG12J135, 2013.
Tennant, C., Menounos, B., Wheate, R., and Clague, J. J.: Area change of glaciers in the Canadian Rocky Mountains, 1919 to 2006, The Cryosphere, 6, 1541–1552, https://doi.org/10.5194/tc-6-1541-2012, 2012.
Watson, E. and Luckman, B. H.: Tree-ring-based mass-balance estimates for
the past 300 years at Peyto Glacier, Alberta, Canada, Quat. Res., 62,
9–18, https://doi.org/10.1016/j.yqres.2004.04.007, 2004.
Watson, E., Luckman, B. H., and Yu, B.: Long-term relationships between
reconstructed seasonal mass balance at Peyto Glacier, Canada, and Pacific
sea surface temperatures, Holocene, 16, 783–790,
https://doi.org/10.1191/0959683606hol973ft, 2006.
Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. J., Blyth, E.,
Österle, H., Adam, J. C., Bellouin, N., Boucher, O., and Best, M.:
Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional
Reference Crop Evaporation over Land during the Twentieth Century, J.
Hydrometeorol., 12, 823–848, https://doi.org/10.1175/2011JHM1369.1, 2011.
World Glacier Monitoring Service (WGMS): Fluctuations of Glaciers Database, World Glacier Monit. Serv. Zurich,
Switzerland, https://doi.org/10.5904/wgms-fog-2020-08, 2020.
Young, G. J.: The Mass Balance of Peyto Glacier, Alberta, Canada, 1965–1978,
Arct. Alp. Res., 13, 307–318, https://doi.org/10.2307/1551037, 1981.
Young, G. J. and Stanley, A. D.: Canadian Glaciers in the International
Hydrological Decade Program, 1965–1974 No. 4, Peyto Glacier, Alberta –
Summary of measurements, Scientific Series No. 71, Inland Waters Directorate, Water Resources Branch, Fisheries and Environment Canada, Ottawa, Canada, 1976.
Zemp, M., Frey, H., Gärtner-Roer, I., Nussbaumer, S. U., Hoelzle, M.,
Paul, F., Haeberli, W., Denzinger, F., Ahlstrøm, A. P., Anderson, B.,
Bajracharya, S., Baroni, C., Braun, L. N., Càceres, B. E., Casassa, G.,
Cobos, G., Dàvila, L. R., Delgado Granados, H., Demuth, M. N., Espizua,
L., Fischer, A., Fujita, K., Gadek, B., Ghazanfar, A., Hagen, J. O.,
Holmlund, P., Karimi, N., Li, Z., Pelto, M., Pitte, P., Popovnin, V. V.,
Portocarrero, C. A., Prinz, R., Sangewar, C. V., Severskiy, I., Sigurdsson,
O., Soruco, A., Usubaliev, R., and Vincent, C.: Historically unprecedented
global glacier decline in the early 21st century, J. Glaciol., 61,
745–762, https://doi.org/10.3189/2015JoG15J017, 2015.
Short summary
This paper presents hydrological, meteorological, glaciological and geospatial data of Peyto Glacier Basin in the Canadian Rockies. They include high-resolution DEMs derived from air photos and lidar surveys and long-term hydrological and glaciological model forcing datasets derived from bias-corrected reanalysis products. These data are crucial for studying climate change and variability in the basin and understanding the hydrological responses of the basin to both glacier and climate change.
This paper presents hydrological, meteorological, glaciological and geospatial data of Peyto...
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