Biblio
Filtre: Forfatter er Pierre Rampal [Slett Alle Filtre]
SKIM, a Candidate Satellite Mission Exploring Global Ocean Currents and Waves. Frontiers in Marine Science 6, (2019).
Data assimilation using adaptive, non-conservative, moving mesh models. Nonlinear processes in geophysics 26, (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
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)
Sea ice modelling and forecasting. New Frontiers in Operational Oceanography (2018).
Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion. Oceans (2020).doi:10.3390/oceans1040022
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)
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).
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).
On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic. The Cryosphere 15, (2021).
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).
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)
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). Last ned: rampal_etal_2016_arctic_sea-ice_diffusion_from_observed_and_simulated_lagrangian_trajectories.pdf (2.12 MB)