Biblio
Filters: Author is Pierre Rampal [Clear All Filters]
Validation of sea ice quantities of TOPAZ for the period 1990-2010. NERSC Technical Report (2013).
Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends. The Cryosphere 8, (2014).
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).
SKIM, a Candidate Satellite Mission Exploring Global Ocean Currents and Waves. Frontiers in Marine Science 6, (2019).
Sea Ice Physics and Modelling. (2017).
Scaling properties of sea ice deformation from buoy dispersion analysis. Journal of Geophysical Research: Oceans 113, (2008).
On producing sea ice deformation data sets from SAR-derived sea ice motion. The Cryosphere 9, (2015). Abstract
Presentation of the dynamical core of neXtSIM, a new sea ice model. Ocean Modelling 91, (2015). Abstract
Positive trend in the mean speed and deformation rate of Arctic sea ice, 1979–2007. Journal of Geophysical Research: Oceans 114, (2009).
Parallel implementation of a Lagrangian-based model on an adaptive mesh in C++: Application to sea-ice. Journal of Computational Physics 350, (2017).
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).
Data assimilation using adaptive, non-conservative, moving mesh models. Nonlinear processes in geophysics 26, (2019).
Data assimilation using adaptive, non-conservative, moving mesh models. Nonlin. Processes Geophys. 26, 18 (2019).
Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories. The Cryosphere 10, (2016).
Arctic sea ice velocity field: General circulation and turbulent-like fluctuations. Journal of Geophysical Research: Oceans 114, (2009).
