Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020

S Cheng, Y Chen, A Aydoğdu, L Bertino… - The …, 2023 - tc.copernicus.org
Advanced data assimilation (DA) methods, widely used in geophysical and climate studies
to merge observations with numerical models, can improve state estimates and consequent …

Lateral coexistence of ductile and brittle deformation shapes magma-poor distal margins: An example from the West Iberia-Newfoundland margins

Z Liu, M Pérez-Gussinyé, L Rüpke… - Earth and Planetary …, 2022 - Elsevier
A long-standing problem in solid Earth science is to understand how low-angle normal faults
form, their role in the development of tectonic asymmetry of conjugate margins, and how …

Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F

T Williams, A Korosov, P Rampal… - The Cryosphere …, 2019 - tc.copernicus.org
The neXtSIM-F forecast system consists of a stand-alone sea ice model, neXtSIM, forced by
the TOPAZ ocean forecast and the ECMWF atmospheric forecast, combined with daily data …

Ensemble Kalman filter for nonconservative moving mesh solvers with a joint physics and mesh location update

C Sampson, A Carrassi, A Aydoğdu… - Quarterly Journal of …, 2021 - Wiley Online Library
Numerical solvers using adaptive meshes can focus computational power on important
regions of a model domain capturing important or unresolved physics. The adaptation can …

Influence of seawater ageing on fracture of carbon fiber reinforced epoxy composites for ocean engineering

A Le Guen-Geffroy, P Davies, PY Le Gac, B Habert - Oceans, 2020 - mdpi.com
Carbon fiber reinforced composite materials are finding new applications in highly loaded
marine structures such as tidal turbine blades and marine propellers. Such applications …

Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology

Y Chen, P Smith, A Carrassi, I Pasmans… - The …, 2024 - tc.copernicus.org
In this study, we investigate the fully multivariate state and parameter estimation through
idealised simulations of a dynamics-only model that uses the novel Maxwell elasto-brittle …

[HTML][HTML] Adaptive clustering: reducing the computational costs of distributed (hydrological) modelling by exploiting time-variable similarity among model elements

U Ehret, R van Pruijssen, M Bortoli… - Hydrology and Earth …, 2020 - hess.copernicus.org
In this paper we propose adaptive clustering as a new method for reducing the
computational efforts of distributed modelling. It consists of identifying similar-acting model …

Probabilistic forecasts of sea ice trajectories in the Arctic: impact of uncertainties in surface wind and ice cohesion

S Cheng, A Aydoğdu, P Rampal, A Carrassi, L Bertino - Oceans, 2020 - mdpi.com
We study the response of the Lagrangian sea ice model neXtSIM to the uncertainty in sea
surface wind and sea ice cohesion. The ice mechanics in neXtSIM are based on a brittle-like …

Multivariate state and parameter estimation with data assimilation on sea-ice models using a Maxwell-Elasto-Brittle rheology

Y Chen, P Smith, A Carrassi, I Pasmans… - …, 2023 - egusphere.copernicus.org
In this study, we investigate the fully multivariate state and parameter estimation through
idealised simulations of a dynamic-only model that uses the novel Maxwell-Elasto-Brittle …

Scattering-Passive Structure-Preserving Finite Element Method for the Boundary Controlled Transport Equation with a Moving Mesh

JP Toledo-Zucco, D Matignon… - arXiv preprint arXiv …, 2024 - arxiv.org
A structure-preserving Finite Element Method (FEM) for the transport equation in one-and
two-dimensional domains is presented. This Distributed Parameter System (DPS) has non …