This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
Snow water equivalent estimates from airborne radar in the St. Elias Mountains
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Abstract
Quantifying the input mass from snow accumulation on rapidly changing glaciers is critical to establishing baseline states and predicting responses to climate change. Some of the largest glaciers in the world are located in the St. Elias Mountains in Southeast Alaska and Southwest Yukon; however, the input mass to these glaciers is poorly constrained. Here we used airborne radar sounding combined with in situ measurements of snow properties, and satellite imagery from Landsat 8/9 and Sentinel 1, to estimate the winter mass balance on the Bering, Hubbard, Kaskawulsh, Logan, Seward, Walsh, and Yahtse glaciers. Along-track snow water equivalent measurements for the winter accumulation period range from 0 to 3 m in 2018, 0.2 to 3.4 m in 2021, and 1.1 to 3.3 m in 2023. On-glacier measurements from the Seward and Kaskawulsh glaciers provided a mean seasonal snow density of 438 ± 22 kg m-3 which leads to a real dielectric permittivity of 1.86 ± 0.12, similar to values from other Alaskan glaciers. We observed that the maritime glaciers Yahtse, Bering, Hubbard, and Seward receive significantly more accumulation than the more inland glaciers.
DOI
https://doi.org/10.31223/X5FF4F
Subjects
Glaciology
Keywords
Ground-penetrating radar, Accumulation, Remote Sensing, Snow
Dates
Published: 2026-05-20 11:42
Last Updated: 2026-05-20 11:42
License
CC BY Attribution 4.0 International
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Conflict of interest statement:
None
Data Availability:
The processed airborne data is retrievable from the CReSIS data archive for 2018 https://data.cresis.ku.edu/data/snow/2018_Alaska_SO/, 2021 https://data.cresis.ku.edu/data/snow/2021_Alaska_SO/, and 2023 https://data.cresis.ku.edu/data/snow/2023_Alaska_Cessna206/. All other data, radar interpretations, and code are available on reDATA. The dataset is available at https://figshare.com/s/2683591e0397f3c56f8b during the review process. After the article is accepted, it will be available at https://doi.org/10.25422/azu.data.29473529.
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