Biblio
Filters: Author is Sylvain Bouillon [Clear All Filters]
Sea ice modelling and forecasting. New Frontiers in Operational Oceanography (2018).
Parallel implementation of a Lagrangian-based model on an adaptive mesh in C++: Application to sea-ice. Journal of Computational Physics 350, (2017).
Sea Ice Physics and Modelling. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).
Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories. The Cryosphere 10, (2016). Download: rampal_etal_2016_arctic_sea-ice_diffusion_from_observed_and_simulated_lagrangian_trajectories.pdf (2.12 MB)
Error assessment of satellite-derived lead fraction in the Arctic. The Cryosphere 10, (2016). Download: ivanova_etal_2016_error_assessment_of_satellite-derived_lead_fraction_in_the_arctic.pdf (2.64 MB)
neXtSIM: a new Lagrangian sea ice model. The Cryosphere 10, (2016). Download: rampal_etal_2016_nextsim_a_new_lagrangian_sea_ice_model.pdf (6.7 MB)
Presentation of the dynamical core of neXtSIM, a new sea ice model. Ocean Modelling 91, (2015). Abstract
Download: bouillon_rampal_2015_presentation_of_the_dynamical_core_of_nextsim_a_new_sea_ice_model.pdf (5.11 MB)
On producing sea ice deformation data sets from SAR-derived sea ice motion. The Cryosphere 9, (2015). Abstract
Download: bouillon_rampal_2014_on_producing_sea_ice_deformation_data_sets_from_sar-derived_sea_ice_motion.pdf (3.53 MB)
Validation of sea ice quantities of TOPAZ for the period 1990-2010. NERSC Technical Report (2013). Download: Finck_report_reduced.pdf (8.71 MB)
The vertical age profile in sea ice: Theory and numerical results. Ocean Modelling 40, 211 - 226 (2011).
A new modeling framework for sea-ice mechanics based on elasto-brittle rheology. Annals of Glaciology 52, 123 - 132 (2011).
Evaluation of high-resolution sea ice models on the basis of statistical and scaling properties of Arctic sea ice drift and deformation. Journal of Geophysical Research 114, (2009).
An elastic–viscous–plastic sea ice model formulated on Arakawa B and C grids. Ocean Modelling 27, 174 - 184 (2009).
Simulating the mass balance and salinity of Arctic and Antarctic sea ice. 1. Model description and validation. Ocean Modelling 27, 33 - 53 (2009).
