Climatic control on seasonal variations in mountain glacier surface velocity
Creators
Abstract
Accurate measurements of ice flow are essential to predict future changes in glaciers and ice caps. Glacier displacement can in principle be measured on the large scale by cross-correlation of satellite images. At weekly to monthly scales, the expected displacement is often of the same order as the noise for the commonly used satellite images, complicating the retrieval of accurate glacier velocity. Assessments of velocity changes on short timescales and over complex areas such as mountain ranges are therefore still lacking but are essential to better understand how glacier dynamics are driven by internal and external factors. In this study, we take advantage of the wide availability and redundancy of satellite imagery over the western Pamirs to retrieve glacier velocity changes over 10 d intervals for 7 years and for a wide range of glacier geometry and dynamics. Our results reveal strong seasonal trends. In spring/summer, we observe velocity increases of up to 300 % compared to a slow winter period. These accelerations clearly migrate upglacier throughout the melt season, which we link to changes in subglacial hydrology efficiency. In autumn, we observe glacier accelerations that have rarely been observed before. These episodes are primarily confined to the upper ablation zone with a clear downglacier migration. We suggest that they result from glacier instabilities caused by sudden subglacial pressurization in response to (1) supraglacial pond drainage and/or (2) gradual closure of the hydrological system. Our 10 d resolved measurements allow us to characterize the short-term response of glaciers to changing meteorological and climatic conditions.
Copyright and License
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License. Published by Copernicus Publications on behalf of the European Geosciences Union.
Acknowledgement
Ugo Nanni thanks Bas Altena, Fanny Brun, Adrien Gilbert, Andreas Kääb and Lucas Malatesta for helpful comments and discussions. Ugo Nanni greatly thanks Jeremie Mouginot for helping with the processing and the discussions. The authors thank Astrid Lambrecht for providing meteorological data on the Fedchenko Glacier (Fig. S1). Dirk Scherler acknowledges funding from the European Research Council under the European Union's Horizon 2020 research and innovation program under grant agreement 759639.
Funding
This research has been supported by the H2020 European Research Council (grant no. 759639) and the Resnick Sustainability Institute for Science, Energy and Sustainability, California Institute of Technology (grant no. 1).
Data Availability
The glacier surface velocity maps as well as the along-flowline velocity profile data used for in the study are available at https://doi.org/10.5281/zenodo.7149214 (Nanni, 2022) under a Creative Commons Attribution 4.0 International license.
V.1.0 of the codes which we developed to conduct our study (as detailed in Sect. 3) is preserved at https://doi.org/10.5281/zenodo.7149214 (Nanni, 2022) under a Creative Commons Attribution 4.0 International license. The codes are to be used in combination with ENVI's COSI-Corr add-on software, which is freely available at http://www.tectonics.caltech.edu/slip_history/spot_coseis/ (last access: 9 September 2022; Leprince et al., 2007). A Python version of COSI-Corr is currently under development and can be found here: https://github.com/SaifAati (Aati, 2023).
Supplemental Material
Seasonal variations in glacier surface velocity over the western Pamirs is visualized here: https://doi.org/10.5446/61008 (Nanni, 2023).
Additional Information
This paper was edited by Nicholas Barrand and reviewed by Peter Tuckett and one anonymous referee.
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tc-17-1567-2023.pdf
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Additional details
Additional titles
- Alternative title
- Climatic control on seasonal variations of glacier surface velocity
Related works
- Is new version of
- Discussion Paper: 10.5194/egusphere-2022-1035 (DOI)
- Is supplemented by
- Supplemental Material: 10.5446/61008 (DOI)
- Supplemental Material: 10.5194/tc-17-1567-2023-supplement (DOI)
- Dataset: 10.5281/zenodo.7149214 (DOI)
- Software: https://github.com/SaifAati (URL)
Funding
- European Research Council
- 759639
- Resnick Sustainability Institute
- 1
Dates
- Submitted
-
2022-10-04
- Accepted
-
2023-02-24