Biblio
Filters: Author is Pierre Rampal [Clear All Filters]
Space and time scaling laws induced by the multiscale fracturing of the Arctic sea ice cover. IUTAM Bookseries : Symposium on Scaling in Solid Mechanics 10, (Dordrecht, 2009).
Sea ice modelling and forecasting. New Frontiers in Operational Oceanography (2018).
Sea Ice Physics and Modelling. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).
Arctic sea ice mass balance in a new coupled ice–ocean model using a brittle rheology framework. The Cryosphere (2023).doi:10.5194/tc-17-617-2023
Arctic sea ice velocity field: General circulation and turbulent-like fluctuations. Journal of Geophysical Research: Oceans 114, (2009).
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)
Data assimilation using adaptive, non-conservative, moving mesh models. Nonlinear processes in geophysics 26, (2019).
Driving Mechanisms of an Extreme Winter Sea Ice Breakup Event in the Beaufort Sea. Geophysical Research Letters 49, (2022).
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)
The Future of Sea Ice Modeling: Where Do We Go from Here?. Bulletin of The American Meteorological Society - (BAMS) (2020).doi:10.1175/BAMS-D-20-0073.1
IPCC climate models do not capture Arctic sea ice drift acceleration: Consequences in terms of projected sea ice thinning and decline. Journal of Geophysical Research: Oceans 116, (2011).
A new brittle rheology and numerical framework for large-scale sea-ice models. Journal of Advances in Modeling Earth Systems 14, (2022).
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)
Parallel implementation of a Lagrangian-based model on an adaptive mesh in C++: Application to sea-ice. Journal of Computational Physics 350, (2017).
Positive trend in the mean speed and deformation rate of Arctic sea ice, 1979–2007. Journal of Geophysical Research: Oceans 114, (2009).
Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F. The Cryosphere 15, (2021).
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)
Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion. Oceans (2020).doi:10.3390/oceans1040022
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)
