Articles | Volume 18, issue 1
https://doi.org/10.5194/tc-18-17-2024
https://doi.org/10.5194/tc-18-17-2024
Research article
 | 
02 Jan 2024
Research article |  | 02 Jan 2024

Evaluation of reanalysis data and dynamical downscaling for surface energy balance modeling at mountain glaciers in western Canada

Christina Draeger, Valentina Radić, Rachel H. White, and Mekdes Ayalew Tessema

Related authors

Time-varying Atmospheric Waveguides – Climatologies and Connections to Quasi-Stationary Waves
Rachel H. White
EGUsphere, https://doi.org/10.5194/egusphere-2024-966,https://doi.org/10.5194/egusphere-2024-966, 2024
Short summary
Cloud forcing of surface energy balance from in situ measurements in diverse mountain glacier environments
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
Short summary
Evaluation and interpretation of convolutional long short-term memory networks for regional hydrological modelling
Sam Anderson and Valentina Radić
Hydrol. Earth Syst. Sci., 26, 795–825, https://doi.org/10.5194/hess-26-795-2022,https://doi.org/10.5194/hess-26-795-2022, 2022
Short summary
Reconstructing winter climate anomalies in the Euro-Atlantic sector using circulation patterns
Erica Madonna, David S. Battisti, Camille Li, and Rachel H. White
Weather Clim. Dynam., 2, 777–794, https://doi.org/10.5194/wcd-2-777-2021,https://doi.org/10.5194/wcd-2-777-2021, 2021
Short summary
A multi-season investigation of glacier surface roughness lengths through in situ and remote observation
Noel Fitzpatrick, Valentina Radić, and Brian Menounos
The Cryosphere, 13, 1051–1071, https://doi.org/10.5194/tc-13-1051-2019,https://doi.org/10.5194/tc-13-1051-2019, 2019
Short summary

Related subject area

Discipline: Glaciers | Subject: Energy Balance Obs/Modelling
Surface heat fluxes at coarse blocky Murtèl rock glacier (Engadine, eastern Swiss Alps)
Dominik Amschwand, Martin Scherler, Martin Hoelzle, Bernhard Krummenacher, Anna Haberkorn, Christian Kienholz, and Hansueli Gubler
The Cryosphere, 18, 2103–2139, https://doi.org/10.5194/tc-18-2103-2024,https://doi.org/10.5194/tc-18-2103-2024, 2024
Short summary
Modeling of surface energy balance for Icelandic glaciers using remote-sensing albedo
Andri Gunnarsson, Sigurdur M. Gardarsson, and Finnur Pálsson
The Cryosphere, 17, 3955–3986, https://doi.org/10.5194/tc-17-3955-2023,https://doi.org/10.5194/tc-17-3955-2023, 2023
Short summary
Strategies for regional modeling of surface mass balance at the Monte Sarmiento Massif, Tierra del Fuego
Franziska Temme, David Farías-Barahona, Thorsten Seehaus, Ricardo Jaña, Jorge Arigony-Neto, Inti Gonzalez, Anselm Arndt, Tobias Sauter, Christoph Schneider, and Johannes J. Fürst
The Cryosphere, 17, 2343–2365, https://doi.org/10.5194/tc-17-2343-2023,https://doi.org/10.5194/tc-17-2343-2023, 2023
Short summary
Long-term firn and mass balance modelling for Abramov Glacier in the data-scarce Pamir Alay
Marlene Kronenberg, Ward van Pelt, Horst Machguth, Joel Fiddes, Martin Hoelzle, and Felix Pertziger
The Cryosphere, 16, 5001–5022, https://doi.org/10.5194/tc-16-5001-2022,https://doi.org/10.5194/tc-16-5001-2022, 2022
Short summary
The surface energy balance during foehn events at Joyce Glacier, McMurdo Dry Valleys, Antarctica
Marte G. Hofsteenge, Nicolas J. Cullen, Carleen H. Reijmer, Michiel van den Broeke, Marwan Katurji, and John F. Orwin
The Cryosphere, 16, 5041–5059, https://doi.org/10.5194/tc-16-5041-2022,https://doi.org/10.5194/tc-16-5041-2022, 2022
Short summary

Cited articles

Aas, K. S., Dunse, T., Collier, E., Schuler, T. V., Berntsen, T. K., Kohler, J., and Luks, B.: The climatic mass balance of Svalbard glaciers: a 10-year simulation with a coupled atmosphere–glacier mass balance model, The Cryosphere, 10, 1089–1104, https://doi.org/10.5194/tc-10-1089-2016, 2016. a, b
Abrams, M., Crippen, R., and Fujisada, H.: ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD), Remote Sens., 12, 1156, https://doi.org/10.3390/rs12071156, 2020. a
Alduchov, O. A. and Eskridge, R. E.: Improved Magnus` form approximation of saturation vapor pressure, Tech. rep., Department of Commerce, Asheville, NC (United States), https://doi.org/10.2172/548871, 1997. a
Anderson, J., Hardy, E., J., R., and Witmer, R.: A land use and land cover classification system for use with remote sensor data, Tech. Rep. 964, USGS Publications Warehouse, https://doi.org/10.3133/pp964, 1976. a
Anderson, S. and Radić, V.: Identification of local water resource vulnerability to rapid deglaciation in Alberta, Nat. Clim. Change, 10, 933–938, https://doi.org/10.1038/s41558-020-0863-4, 2020. a, b
Download
Short summary
Our study increases our confidence in using reanalysis data for reconstructions of past glacier melt and in using dynamical downscaling for long-term simulations from global climate models to project glacier melt. We find that the surface energy balance model, forced with reanalysis and dynamically downscaled reanalysis data, yields <10 % difference in the modeled total melt energy when compared to the same model being forced with observations at our glacier sites in western Canada.