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). 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).
On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic. The Cryosphere 15, (2021).
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 rheology experiment (SIREx): 2. Evaluating linear kinematic features in high-resolution sea ice simulations. Journal of Geophysical Research (JGR): Oceans 127:e2021JC017666, (2022).
Sea Ice Physics and Modelling. Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems (2017).
Sea ice modelling and forecasting. New Frontiers in Operational Oceanography (2018).
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
Download: bouillon_rampal_2014_on_producing_sea_ice_deformation_data_sets_from_sar-derived_sea_ice_motion.pdf (3.53 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
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)
Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F. The Cryosphere 15, (2021).
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).
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)
A new brittle rheology and numerical framework for large-scale sea-ice models. Journal of Advances in Modeling Earth Systems 14, (2022).
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).
