Arctic sea ice data assimilation combining an ensemble Kalman filter with a novel Lagrangian sea ice model for the winter 2019–2020
Advanced data assimilation (DA) methods, widely used in geophysical and climate studies
to merge observations with numerical models, can improve state estimates and consequent …
to merge observations with numerical models, can improve state estimates and consequent …
[HTML][HTML] Quantitative assessment of two oil-in-ice surface drift algorithms
V de Aguiar, KF Dagestad, LR Hole, K Barthel - Marine Pollution Bulletin, 2022 - Elsevier
The ongoing reduction in extent and thickness of sea ice in the Arctic might result in an
increase of oil spill risk due to the expansion of shipping activity and oil exploration shift …
increase of oil spill risk due to the expansion of shipping activity and oil exploration shift …
Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F
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 …
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 …
regions of a model domain capturing important or unresolved physics. The adaptation can …
Multivariate state and parameter estimation with data assimilation applied to sea-ice models using a Maxwell elasto-brittle rheology
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 …
idealised simulations of a dynamics-only model that uses the novel Maxwell elasto-brittle …
[HTML][HTML] Towards improving short-term sea ice predictability using deformation observations
Short-term sea ice predictability is challenging despite recent advancements in sea ice
modelling and new observations of sea ice deformation that capture small-scale features …
modelling and new observations of sea ice deformation that capture small-scale features …
Multivariate state and parameter estimation with data assimilation on sea-ice models using a Maxwell-Elasto-Brittle rheology
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 …
idealised simulations of a dynamic-only model that uses the novel Maxwell-Elasto-Brittle …
Quantitative assessment of two oil-in-ice surface drift algorithms
VC Martins de Aguiar, KF Dagestad, LR Hole… - 2022 - munin.uit.no
The ongoing reduction in extent and thickness of sea ice in the Arctic might result in an
increase of oil spill risk due to the expansion of shipping activity and oil exploration shift …
increase of oil spill risk due to the expansion of shipping activity and oil exploration shift …
Stochastic Sea Ice Modeling with the Dynamically Orthogonal Equations
AN Suresh Babu - 2023 - dspace.mit.edu
Accurate numerical models are essential to predict the complex evolution of rapidly
changing sea ice conditions and study impacts on climate and navigation. However, sea ice …
changing sea ice conditions and study impacts on climate and navigation. However, sea ice …
Novel Arctic sea ice data assimilation combining ensemble Kalman filter with a Lagrangian sea ice model
Advanced data assimilation (DA) methods, widely used in geophysical and climate studies
to merge observations with numerical models, can improve the state estimates and …
to merge observations with numerical models, can improve the state estimates and …