Articles | Volume 17, issue 3
Research article
22 Mar 2023
Research article |  | 22 Mar 2023

Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring

Ludovic Moreau, Léonard Seydoux, Jérôme Weiss, and Michel Campillo

Data sets

Svalbard - Vallunden (Icewaveguide) (RESIF - SISMOB - Nodes) Ludovic Moreau and RESIF

Catalog of icequakes recorded in March 2019, in the Van Mijen Fjord, in Svalbard (Norway) Ludovic Moreau

Model code and software

Python package for icequakes inversions (Version 1) Ludovic Moreau

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.