R. Périllat

Uncertainty propagation in atmospheric dispersion models for radiological emergencies in the pre- and early release phase: summary of case studies

T. Charnock, F. Gering, S. Leadbetter, 2020, Radioprotection.

Guidelines for ranking uncertainties in atmospheric dispersion

S. Leadbetter, P. Bedwell, G. Geertsema, 2018 .

Guidelines detailing the range and distribution of atmospheric dispersion model input parameter uncertainties

S. Leadbetter, P. Bedwell, G. Geertsema, 2018 .

Lessons learned from atmospheric modeling studies after the Fukushima nuclear accident: Ensemble simulations, data assimilation, elemental process modeling, and inverse modeling

A. Mathieu, M. Kajino, I. Korsakissok, 2018 .

Using meteorological ensembles for atmospheric dispersion modelling of the Fukushima nuclear accident

A. Mathieu, V. Mallet, M. Kajino, 2016 .

Modelling the suppression of viscous fingering in elastic-walled Hele-Shaw cells

Matthias Heil, Raphaël Périllat, Anne Juel, 2013, Journal of Fluid Mechanics.

Fukushima Daiichi–derived radionuclides in the atmosphere, transport and deposition in Japan: A review

A. Mathieu, M. Kajino, I. Korsakissok, 2018 .

CALIBRATION OF A SURROGATE DISPERSION MODEL APPLIED TO THE FUKUSHIMA NUCLEAR DISASTER

Vivien Mallet, Irène Korsakissok, Raphaël Périllat, 2019, Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019).

Uncertainty study on atmospheric dispersion simulations using meteorological ensembles with a Monte Carlo approach, applied to the Fukushima nuclear accident

A. Mathieu, V. Mallet, I. Korsakissok, 2021 .

Ranking uncertainties in atmospheric dispersion modelling following the accidental release of radioactive material

A. Mathieu, F. Gering, S. Leadbetter, 2020 .