Robust reconstruction of glacier beds using transient 2D assimilation with Stokes

• Published in: Journal of Glaciology
• Main Authors: Cook, Samuel, Gillet-Chaulet, Fabien, Fürst, Johannes
• Other Authors: Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Friedrich-Alexander Universität Erlangen-Nürnberg = University of Erlangen-Nuremberg (FAU), ANR-19-CE01-0023,MAGIC,Cadre numérique pour la prévision de l'évolution des glaciers(2019)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2023
• Subjects: [SDE]Environmental Sciences; Journal of Glaciology
• Online Access: https://hal.science/hal-04297047; https://hal.science/hal-04297047/document; https://hal.science/hal-04297047/file/robust-reconstruction-of-glacier-beds-using-transient-2d-assimilation-with-stokes.pdf; https://doi.org/10.1017/jog.2023.26

International audience Abstract Initialising model glaciers such that they match well with their real counterparts and are thus able to make more accurate predictions is an ongoing challenge in glacier modelling. We set out a data-assimilation approach using an ensemble Kalman filter in a 2D flowline example that provides one possible solution to this problem. We show that our approach is valid across a range of parameters and scenarios, including deliberately data-deficient or inaccurate ones, and leads to robust retrieval of the glacier bed. We also provide some suggestions for how best to use data assimilation within a mountain-glacier context.