Sensitivity of modelled mass balance and runoff to representations of debris and accumulation on the Kaskawulsh Glacier, Yukon, Canada

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Supplementary Files
Authors

Katherine M Robinson , Gwenn Elizabeth Flowers, David Robert Rounce

Abstract

Runoff from glaciers accounts for half the total freshwater discharge to the Gulf of Alaska, with glacier contributions to streamflow changing as mass loss accelerates. We reconstruct the 1980–2022 mass balance, runoff and water budget of the 70% glacierized Kaskawulsh River Headwaters in Yukon, Canada, using an enhanced temperature-index model driven by downscaled and bias-corrected reanalysis data. Debris is treated using melt-scaling factors based on site-specific measurements of the critical debris thickness. To estimate accumulation, we apply an elevation-dependent correction based on in-situ measurements. The model tuning approach incorporates observations of the geodetic mass balance and snowlines. We assess model sensitivity to the representation of supraglacial debris and the accumulation bias correction, including treatments of these processes that can be applied in the absence of in- situ data. The representation of debris produces variations <1% in the catchment-wide runoff and water budget. In contrast, accumulation inputs that omit in-situ data produce variations of 33–40% in modelled runoff relative to a catchment-specific correction. This work highlights the value of catchment-specific data and the impact that representations of debris and accumulation can have on modelled runoff.

DOI

https://doi.org/10.31223/X5FX3W

Subjects

Earth Sciences, Glaciology, Physical Sciences and Mathematics

Keywords

Glacier mass balance, Supraglacial debris, Accumulation bias correction, Glacier runoff

Dates

Published: 2024-07-19 15:59

Last Updated: 2024-07-19 19:59

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
The Kaskawulsh Glacier outline was obtained from https://www.glims.org/maps/glims. The NARR data used as input to the mass balance model were obtained from https://downloads.psl.noaa.gov/Datasets/NARR. SFU Glaciology Group snow depth and density measurements can be found in Table S2 of the Supplementary Material. NASA Operation IceBridge radar data products are available at https://data.cresis.ku.edu/data/snow/2021_Alaska_SO/, and the seasonal snow thickness data were obtained from https://data.cresis.ku.edu/data/misc/Alaska_seasonal_snow/ (CReSIS, 2021). Precipitation gauge data were obtained from the Environment and Climate Change Canada Historical Climate Data website (https://climate.weather.gc.ca/historical_data/search_historic_data_e.html, last accessed 2023-11-26). Downscaling and melt-model code will be made public on github upon manuscript publication. Model inputs and outputs will be made available on Zenodo upon manuscript publication.