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DAS to Discharge: Using Distributed Acoustic Sensing (DAS) to infer glacier runoff

DAS to Discharge: Using Distributed Acoustic Sensing (DAS) to infer glacier runoff

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1017/jog.2024.46. This is version 2 of this Preprint.

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Authors

John-Morgan Manos , Dominik Gräff, Eileen Martin, Patrick Paitz, Fabian Walter, Andreas Fichtner, Bradley P Lipovsky ...  more

Abstract

Observations of glacier melt and runoff are of fundamental interest in the study of glaciers and their interactions with their environment. Considerable recent interest has developed around distributed acoustic sensing (DAS), a sensing technique which utilizes Rayleigh backscatter in fiber optic cables to measure the seismo-acoustic wavefield in high spatial and temporal resolution. Here, we present data from a month-long, 9 km DAS deployment extending through the ablation and accumulation zones on Rhonegletscher, Switzerland, during the 2020 melt season. While testing several types of machine learning (ML) models, we establish a regression p...  more

DOI

https://doi.org/10.31223/X5TX1J

Subjects

Earth Sciences, Geophysics and Seismology, Glaciology, Physical Sciences and Mathematics

Keywords

Cryoseismology, Glaciology, Surface Melt, glacier discharge

Dates

Published: 2024-02-08 06:40

Last Updated: 2024-02-08 14:40

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License

CC BY Attribution 4.0 International