Pierre Rampal

Job Position: 
Adjunct Position
Research Group: 
E-mail: 
Phone: 
+47 450 66 182

Academic Degree:

Doctor in Glaciology, Université Grenoble Alpes, Grenoble, France, 2008
Pierre Rampal Portrait

Research interests

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 on the Arctic region. I have expertise in both sea ice modelling and observations statistical analysis, as well as some experience in data assimilation. Here at NERSC, I initiated the development of the next generation sea ice model neXtSIM.

Project leader of the following projects

  1. FRASIL: FRActal properties of Sea Ice Leads and their impact on the Arctic physical and biological environments
  2. SIA: ESA-CCI Sea Ice age
  3. KARA3: neXtSIM-F, a new sea-ice forecasting platform for the Barents and Kara Seas
  4. neXtWIM: Waves in a next-generation sea ice model
  5. KARA2: Towards a next generation sea ice forecasting platform covering the Barents and Kara Seas
  6. JIP-ART Oil-in-Ice: Sea ice model developments in view of oil spill forecasting
  7. SIMECH: Sea Ice Mechanics, from satellites to numerical models
  8. KARA: Dynamics of the pack ice in the Kara Sea: forecasting dangerous navigation conditions

NERSC Principal Investigator of the following projects

  1. LEGACY: Nansen LEGACY
  2. CORESAT: Combined remote and in situ study of sea ice thickness and motion in the Fram Strait

Publications

My Publications in CRIStin

Peer Review Publications and Books

29 total publications.

2021

  1. Boutin G, Williams T, Rampal P, Olason E, Lique C. Wave–sea-ice interactions in a brittle rheological framework. The Cryosphere. 2021;15(1).
  2. Olason E, Rampal P, Danserau V. On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic. The Cryosphere. 2021;15(2).
  3. Kleinherenbrink M, Korosov A, Newman T, Theodosiou A, Komarov AS, Li Y, et al. Estimating instantaneous sea-ice dynamics from space using the bi-static radar measurements of Earth Explorer 10 candidate Harmony. The Cryosphere. 2021;15(7).
  4. Williams T, Korosov A, Rampal P, Olason E. Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F. The Cryosphere. 2021;15(7).

2020

  1. Cheng S, Aydoğdu A, Rampal P, Carrassi A, Bertino L. Probabilistic Forecasts of Sea Ice Trajectories in the Arctic: Impact of Uncertainties in Surface Wind and Ice Cohesion. Oceans. 2020;
  2. Blockley E, Vancoppenolle M, Hunke EC, m. Bitz C, Feltham D, Lemieux J-F, et al. The Future of Sea Ice Modeling: Where Do We Go from Here?. Bulletin of The American Meteorological Society - (BAMS). 2020;

2019

  1. Rampal P, Danserau V, Olason E, Bouillon S, Williams T, Korosov A, et al. On the multi-fractal scaling properties of sea ice deformation. The Cryosphere. 2019;13(9).
  2. Ardhuin F, Brandt P, Gaultier L, Donlon CJ, Battaglia A, Boy F, et al. SKIM, a Candidate Satellite Mission Exploring Global Ocean Currents and Waves. Frontiers in Marine Science. 2019;6(209).
  3. Aydogdu A, Carrassi A, Guider CT, Jones CKRT, Rampal P. Data assimilation using adaptive, non-conservative, moving mesh models. Nonlinear processes in geophysics. 2019;26(3).

2018

  1. Ardhuin F, Aksenov Y, Benetazzo A, Bertino L, Brandt P, Caubet E, et al. Measuring currents, ice drift, and waves from space: the Sea Surface KInematics Multiscale monitoring (SKIM) concept. Ocean Science. 2018;14(3).
  2. Korosov A, Rampal P, Pedersen LT, Saldo R, Ye Y, Heygster G, et al. A new tracking algorithm for sea ice age distribution estimation. The Cryosphere. 2018;12(6).
  3. Rabatel M, Rampal P, Carrassi A, Bertino L, Jones CKRT. Impact of rheology on probabilistic forecasts of sea ice trajectories: Application for search and rescue operations in the Arctic. The Cryosphere. 2018;12(3).
  4. Bouillon S, Rampal P, Olason E. Sea ice modelling and forecasting. In: New Frontiers in Operational Oceanography. 2018.

2017

  1. Korosov A, Rampal P. A Combination of Feature Tracking and Pattern Matching with Optimal Parametrization for Sea Ice Drift Retrieval from SAR Data. Remote Sensing. 2017;9(3).
  2. Samake A, Rampal P, Bouillon S, Olason E. Parallel implementation of a Lagrangian-based model on an adaptive mesh in C++: Application to sea-ice. Journal of Computational Physics. 2017;350.
  3. Williams T, Rampal P, Bouillon S. Wave-ice interactions in the neXtSIM sea-ice model. The Cryosphere. 2017;11(5).
  4. Lemieux J-F, Bouillon S, Dupont F, Flato G, Losch M, Rampal P, et al. Sea Ice Physics and Modelling. In: Sea Ice Analysis and Forecasting - Towards an Increased Reliance on Automated Prediction Systems. 2017.

2016

  1. Khvorostovsky K, Rampal P. On retrieving sea ice freeboard from ICESat laser altimeter. The Cryosphere. 2016;10(5).
  2. Ivanova N, Rampal P, Bouillon S. Error assessment of satellite-derived lead fraction in the Arctic. The Cryosphere. 2016;10(2).
  3. Rampal P, Bouillon S, Bergh JE, Olason E. Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories. The Cryosphere. 2016;10(4).
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