Biblio
Filtre: Forfatter er Sylvain Bouillon [Slett Alle Filtre]
Sea ice modelling and forecasting. New Frontiers in Operational Oceanography (2018).
An elastic–viscous–plastic sea ice model formulated on Arakawa B and C grids. Ocean Modelling 27, 174 - 184 (2009).
Presentation of the dynamical core of neXtSIM, a new sea ice model. Ocean Modelling 91, (2015). Abstract
Last ned: 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
Last ned: 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). Last ned: Finck_report_reduced.pdf (8.71 MB)
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).
A new modeling framework for sea-ice mechanics based on elasto-brittle rheology. Annals of Glaciology 52, 123 - 132 (2011).
Error assessment of satellite-derived lead fraction in the Arctic. The Cryosphere 10, (2016). Last ned: ivanova_etal_2016_error_assessment_of_satellite-derived_lead_fraction_in_the_arctic.pdf (2.64 MB)
Sea Ice Physics and Modelling. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).
The vertical age profile in sea ice: Theory and numerical results. Ocean Modelling 40, 211 - 226 (2011).
Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories. The Cryosphere 10, (2016). Last ned: rampal_etal_2016_arctic_sea-ice_diffusion_from_observed_and_simulated_lagrangian_trajectories.pdf (2.12 MB)
neXtSIM: a new Lagrangian sea ice model. The Cryosphere 10, (2016). Last ned: rampal_etal_2016_nextsim_a_new_lagrangian_sea_ice_model.pdf (6.7 MB)
Parallel implementation of a Lagrangian-based model on an adaptive mesh in C++: Application to sea-ice. Journal of Computational Physics 350, (2017).
Simulating the mass balance and salinity of Arctic and Antarctic sea ice. 1. Model description and validation. Ocean Modelling 27, 33 - 53 (2009).
