Articles | Volume 16, issue 6
https://doi.org/10.5194/tc-16-2527-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-2527-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard
Agathe Serripierri
Institut des Sciences de la Terre, Université Grenoble Alpes, Grenoble, France
Ludovic Moreau
CORRESPONDING AUTHOR
Institut des Sciences de la Terre, Université Grenoble Alpes, Grenoble, France
Pierre Boue
Institut des Sciences de la Terre, Université Grenoble Alpes, Grenoble, France
Jérôme Weiss
Institut des Sciences de la Terre, Université Grenoble Alpes, Grenoble, France
Philippe Roux
Institut des Sciences de la Terre, Université Grenoble Alpes, Grenoble, France
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EGUsphere, https://doi.org/10.5194/egusphere-2026-2106, https://doi.org/10.5194/egusphere-2026-2106, 2026
This preprint is open for discussion and under review for The Cryosphere (TC).
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We describe an experiment to investigate variations of lake ice properties. We put a large number of seismic instruments on a frozen lake to record the ambient ice vibrations and make a range of supporting measurements. The initial results show that environmental effects can be resolved from the vibrations. This includes meteorological changes but also the trapping of methane or other gas bubbles during ice formation, which can help quantify the release of greenhouse gases from lakes.
Sébastien Kuchly, Baptiste Auvity, Nicolas Mokus, Matilde Bureau, Paul Nicot, Amaury Fourgeaud, Véronique Dansereau, Antonin Eddi, Stéphane Perrard, Dany Dumont, and Ludovic Moreau
The Cryosphere, 19, 6927–6941, https://doi.org/10.5194/tc-19-6927-2025, https://doi.org/10.5194/tc-19-6927-2025, 2025
Short summary
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During February and March 2024, we realized a multi-instrument field campaign in the St. Lawrence Estuary, to capture swell-driven sea ice fragmentation. The dataset combines geophones, wave buoys, smartphones, and video recordings with drones, to study wave-ice interactions under natural conditions. It enables analysis of ice thickness, wave properties, and ice motion. Preliminary results show strong consistency across instruments, offering a valuable resource to improve sea ice models.
Ludovic Moreau, Léonard Seydoux, Jérôme Weiss, and Michel Campillo
The Cryosphere, 17, 1327–1341, https://doi.org/10.5194/tc-17-1327-2023, https://doi.org/10.5194/tc-17-1327-2023, 2023
Short summary
Short summary
In the perspective of an upcoming seasonally ice-free Arctic, understanding the dynamics of sea ice in the changing climate is a major challenge in oceanography and climatology. It is therefore essential to monitor sea ice properties with fine temporal and spatial resolution. In this paper, we show that icequakes recorded on sea ice can be processed with artificial intelligence to produce accurate maps of sea ice thickness with high temporal and spatial resolutions.
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Short summary
As a result of global warming, the sea ice is disappearing at a much faster rate than predicted by climate models. To better understand and predict its ongoing decline, we deployed 247 geophones on the fast ice in Van Mijen Fjord in Svalbard, Norway, in March 2019. The analysis of these data provided a precise daily evolution of the sea-ice parameters at this location with high spatial and temporal resolution and accuracy. The results obtained are consistent with the observations made in situ.
As a result of global warming, the sea ice is disappearing at a much faster rate than predicted...