Arctic sea ice drift fields extraction based on feature tracking to MODIS imagery

Y Fang, X Wang, G Li, Z Chen, F Hui… - International Journal of …, 2023 - Elsevier
Moderate-resolution optical imagery holds great potential in deriving Arctic sea ice drift fields
because of its higher resolution than microwave radiometers and scatterometers, as well as …

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 …

Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic

M Rabatel, P Rampal, A Carrassi, L Bertino… - The …, 2018 - tc.copernicus.org
We present a sensitivity analysis and discuss the probabilistic forecast capabilities of the
novel sea ice model neXtSIM used in hindcast mode. The study pertains to the response of …

Validation of oil spill transport and fate modeling in Arctic ice

DP French-McCay, T Tajalli-Bakhsh, K Jayko… - Arctic …, 2017 - cdnsciencepub.com
Reliability of oil spill modeling in Arctic waters for response planning and risk assessments
depends on the accuracy of winds, currents, and ice data (cover and drift) used as input. We …

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 …

[HTML][HTML] CSIB v1 (Canadian Sea-ice Biogeochemistry): A sea-ice biogeochemical model for the NEMO community ocean modelling framework

H Hayashida, JR Christian… - Geoscientific Model …, 2019 - gmd.copernicus.org
Process-based numerical models are a useful tool for studying marine ecosystems and
associated biogeochemical processes in ice-covered regions where observations are …

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 …

Impact of granular behaviour of fragmented sea ice on marginal ice zone dynamics

S Rynders, Y Aksenov, DL Feltham, AJG Nurser… - IUTAM Symposium on …, 2022 - Springer
Sea ice retreat and opening of large, previously ice-covered areas of the Arctic Ocean to
wind and ocean waves is leading to large changes in the sea ice state. The Arctic sea ice …

The Nansen Legacy: Scientific exploration and sustainable management beyond the ice edge

M Reigstad, T Eldevik, S Gerland - The Nansen Legacy Report …, 2021 - septentrio.uit.no
The scientific investigation of a rapidly changing northern environment leads to research
questions of such intellectual, empirical and logistical complexity—and of such importance …

Modelling sea-ice and oceanic dimethylsulfide production and emissions in the Arctic

H Hayashida - 2018 - dspace.library.uvic.ca
Recent field observations suggest that the radiative forcing of aerosol and clouds in the
Arctic may be seasonally regulated by the oceanic emissions of the climatically-important …