dc.date.accessioned | 2023-12-12T13:48:31Z | |
dc.date.available | 2023-12-12T13:48:31Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | http://hdl.handle.net/10852/106270 | |
dc.description.abstract | The Cryosphere, encompassing elements like sea ice, permafrost, snow, glaciers, and ice sheets, faces a grave threat from ongoing climate change and can significantly impact ecosystems, human lives, and livelihoods. Understanding their dynamics is essential to predict their future and inform mitigation strategies. One critical concern within the Cryosphere is the flow of glaciers and ice sheets directly affecting sea-level rise. Particularly, the character transient of some glacier flow is yet not well understood as the answer is hidden in the glacier subglacial environment, challenging to access.
This doctoral research focuses on constraining further these processes, with a primary focus on surge-type glaciers. Surge-type glaciers exhibit cyclic rapid flow, followed by slow movement. The study is based on multiple direct and indirect subglacial measurements at various spatio-temporal scales and integrates multiple methodologies, including data analysis, machine learning, and cryoseismology. The research reveals that surge-type glaciers have distinct attributes in certain areas, triggering instability. The doctoral work emphasizes the feedback between crevasses formation, subglacial water transport, basal slip and glacier flow acceleration as driver for glacier instabilities. The interplay between the subglacial water transport and sediment mechanic is explored to gain insight into the precise processes underlying these instabilities of a surging glacier. | en_US |
dc.language.iso | en | en_US |
dc.relation.haspart | Paper I: Bouchayer, C., Aiken, J. M., Thøgersen, K., Renard, F., & Schuler, T. V. (2022). A Machine learning framework to automate the classification of surge-type glaciers in Svalbard. Journal of Geophysical Research: Earth Surface, 127, e2022JF006597. DOI: 10.1029/2022JF006597. The article is included in the thesis. Also available at: https://doi.org/10.1029/2022JF006597 | |
dc.relation.haspart | Paper II: Bouchayer Coline, Nanni Ugo, Köhler Andreas, Mannerfelt Erik Schytt, Renard Francois, Lefeuvre Pierre-Marie, Hulth John, Schuler Thomas V. Acceleration of an Arctic glacier triggered by climate warming and hydro-mechanical couplings (in preparation). Submitted: Geophysical Research Letters. To be published. The paper is not available in DUO awaiting publishing. | |
dc.relation.haspart | Paper III: Bouchayer, C., Nanni, U., Lefeuvre, P.-M., Hulth, J., Steffensen Schmidt, L., Kohler, J., Renard, F., and Schuler, T. V.: Multi-scale variations of hydro-mechanical conditions at the base of the surge-type glacier Kongsvegen, Svalbard, EGUsphere [preprint], 2023. DOI: 10.5194/egusphere-2023-618. Submitted: The Cryosphere. To be published. The paper is not available in DUO awaiting publishing. | |
dc.relation.uri | https://doi.org/10.1029/2022JF006597 | |
dc.title | Transient glacier dynamics and subglacial hydro-mechanical processes | en_US |
dc.type | Doctoral thesis | en_US |
dc.creator.author | Bouchayer, Coline | |
dc.type.document | Doktoravhandling | en_US |