Pierre Rampal

发表

Data assimilation using adaptive, non-conservative, moving mesh models

Ali Aydoğdu, Alberto Carrassi, Colin Guider, 2019 .

Parallel implementation of a Lagrangian-based model on an adaptive mesh in C++: Application to sea-ice

Sylvain Bouillon, Abdoulaye Samake, Pierre Rampal, 2017, J. Comput. Phys..

A Combination of Feature Tracking and Pattern Matching with Optimal Parametrization for Sea Ice Drift Retrieval from SAR Data

Pierre Rampal, Anton Andreevich Korosov, A. Korosov, 2017, Remote. Sens..

The Harmony Mission: End of Phase-0 Science Overview

Bertrand Chapron, Paco López-Dekker, Pau Prats, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

IPCC climate models do not capture Arctic sea ice drift acceleration: Consequences in terms of projected sea ice thinning and decline

Pierre Rampal, Jean-Michel Campin, C. Dubois, 2011 .

Scaling properties of sea ice deformation from buoy dispersion analysis

Pierre Rampal, David Marsan, Harry L. Stern, 2008 .

On producing sea ice deformation data sets from SAR-derived sea ice motion

Sylvain Bouillon, Pierre Rampal, P. Rampal, 2014 .

neXtSIM: a new Lagrangian sea ice model

Sylvain Bouillon, Pierre Rampal, Mathieu Morlighem, 2015 .

Positive trend in the mean speed and deformation rate of Arctic sea ice, 1979–2007

Pierre Rampal, David Marsan, D. Marsan, 2009 .

On retrieving sea ice freeboard from ICESat laser altimeter

Pierre Rampal, Kirill Khvorostovsky, P. Rampal, 2016 .

Uncertainties in Arctic sea ice thickness and volume: new estimates and implications for trends

Pierre Rampal, Marta Zygmuntowska, P. Rampal, 2013 .