Publications

Reliability diagrams of the surrogate uncertainty estimates.

[Preprint] Uncertainty-aware surrogate modeling for urban air pollutant dispersion prediction

This paper tells the construction and validation of a surrogate model for atmospheric pollutant dispersion. We show that the selected approach is able to embed accurately the uncertainty at stakes.

Large-scale eddy simulation of atmospheric flow and pollutant dispersion in a simplified urban canopy.

[PhD Thesis] Assessing and reducing uncertainty in large-eddy simulation for microscale atmospheric dispersion

Poster presentation of a data assimilation workflow for microscale pollutant dispersion. The use of a surrogate model enables real-time data assimilation and large ensemble size while also providing an estimation of the uncertainties involved.

Atmospheric microscale internal variability effect on pollutant concentration.

Assessing the Internal Variability of Large-Eddy Simulations for Microscale Pollutant Dispersion Prediction in an Idealized Urban Environment

This paper provides a methodology to assess the effect of atmospheric microscale internal variability on time statistics. It is then applied to the validation of a LES model of the MUST field experiment.