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
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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.
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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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