Pierre Rampal
- Institut des Géosciences de l’Environnement (IGE)
Présentation
My research focuses on sea ice physics, variability and forecast. I also look at the interactions between sea ice and the other components of the climate system, with a particular interest in the Arctic region. I have expertise in both sea ice modelling and observations statistical analysis, as well as some experience in data assimilation. Recently, I have been involved in the use of AI-driven approaches for solving diverse sea ice problems. More specifically, I worked on the multi-scale characterization of sea ice and earth crust dynamics, and how it can be translated in terms of continuous rheological models. This work materialized into the development of a new class of rheology for continuous sea ice models based on damage mechanics. In parallel, I investigated issues related to the remote sensing of sea ice drift, deformation, age, thickness and lead fraction from satellites. I also contributed to the development of a new framework for data assimilation into Lagrangian models running on adaptive meshes, in collaboration with data assimilation experts and mathematicians. I instigated and led the development of the next generation Lagrangian sea ice model neXtSIM and its associated operational forecasting platform neXtSIM-F until 2021. This platform provides sea ice information in near-real time for the Arctic region through the EU Copernicus Marine Environment Monitoring Service. Since 2021, I am the lead-PI of the SASIP project, an international collaborative effort to better understand the impact of amplified warming in polar regions, through the development of a new sea ice modelling paradigm. One noticeable deliverable of this project is to provide a new, truly innovative, scale-aware sea ice model; one that faithfully represents sea ice dynamics and thermodynamics and that is physically sound, data-adaptive, highly parallelized and computationally efficient. This model is designed to be used in next generation Earth System Models and forecasting platforms.
Publications
Publications
A new brittle rheology and numerical framework for large-scale sea-ice modelsEGU23, 0000, à renseigner, Unknown Region. ⟨10.5194/egusphere-egu23-11613⟩
Communication dans un congrès
insu-04604365
v1
|
|
|
|
The Harmony Mission: End of Phase-0 Science Overview2021 IEEE International Geoscience and Remote Sensing Symposium, Jul 2021, Bruxelles, Belgium. ⟨10.1109/IGARSS47720.2021.9554896⟩
Communication dans un congrès
hal-03797318
v1
|
Effets de produits d'excrétion/secrétion de nématodes trichostrongles sur la prolifération in vitro des cellules épithéliales HT29-CD413. Réunion, Dec 1994, Nice, France
Communication dans un congrès
hal-02779512
v1
|
|
Colite a Clostridium difficile (C. diff.) chez le sujet VIH.17. Journees Francophones d'Hepatologie et de Gastroenterologie, Mar 1993, Nice, France
Communication dans un congrès
hal-02848460
v1
|
|
|
Sea Ice Modelling and ForecastingEric P. Chassignet; Ananda Pascual; Joaquin Tintoré; Jacques Verron. New Frontiers in Operational Oceanography, GODAE OceanView, pp.423-444, 2018, ⟨10.17125/gov2018.ch15⟩
Chapitre d'ouvrage
hal-03405463
v1
|
Sea Ice Physics and ModellingT. Carrieres; M. Buehner; J. Lemieux; L. Pedersen. Sea Ice Analysis and Forecasting, Towards an Increased Reliance on Automated Prediction Systems, Cambridge University Press, 2017, 9781108417426. ⟨10.1017/9781108277600.003⟩
Chapitre d'ouvrage
hal-02423131
v1
|
|
|
Generative AI models capture realistic sea-ice evolution from days to decades2025
Pré-publication, Document de travail
hal-05363451
v1
|
|
|
THE COPERNICUS MARINE ENVIRONMENTAL MONITORING SERVICE: MAIN SCIENTIFIC ACHIEVEMENTS AND FUTURE PROSPECTS[Research Report] 56, MERCATOR OCEAN. 2017
Rapport
(rapport de recherche)
hal-03405376
v1
|
|
|
Etude de la dérive et de la déformation de la banquise Arctique par l'analyse de trajectoires LagrangiennesOcéan, Atmosphère. Université Joseph-Fourier - Grenoble I, 2008. Français. ⟨NNT : ⟩
Thèse
tel-00352799
v1
|