Biblio
Filters: Author is Pierre Rampal [Clear All Filters]
Scaling properties of sea ice deformation from buoy dispersion analysis. Journal of Geophysical Research: Oceans 113, (2008).
Positive trend in the mean speed and deformation rate of Arctic sea ice, 1979–2007. Journal of Geophysical Research: Oceans 114, (2009).
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).
Arctic sea ice velocity field: General circulation and turbulent-like fluctuations. Journal of Geophysical Research: Oceans 114, (2009).
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).
Validation of sea ice quantities of TOPAZ for the period 1990-2010. NERSC Technical Report (2013). Download: Finck_report_reduced.pdf (8.71 MB)
Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends. The Cryosphere 8, (2014).
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)
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)
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).
Data assimilation using adaptive, non-conservative, moving mesh models. Nonlinear processes in geophysics 26, (2019).
SKIM, a Candidate Satellite Mission Exploring Global Ocean Currents and Waves. Frontiers in Marine Science 6, (2019).
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
