A review of laboratory and numerical techniques to simulate turbulent flows

S Ferrari, R Rossi, A Di Bernardino - Energies, 2022 - mdpi.com
Turbulence is still an unsolved issue with enormous implications in several fields, from the
turbulent wakes on moving objects to the accumulation of heat in the built environment or …

Calibration and uncertainty quantification of convective parameters in an idealized GCM

ORA Dunbar, A Garbuno‐Inigo… - Journal of Advances …, 2021 - Wiley Online Library
Parameters in climate models are usually calibrated manually, exploiting only small subsets
of the available data. This precludes both optimal calibration and quantification of …

[HTML][HTML] Inferring surface energy fluxes using drone data assimilation in large eddy simulations

N Pirk, K Aalstad, S Westermann… - Atmospheric …, 2022 - amt.copernicus.org
Spatially representative estimates of surface energy exchange from field measurements are
required for improving and validating Earth system models and satellite remote sensing …

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

E Lumet, T Jaravel, MC Rochoux, O Vermorel… - Boundary-Layer …, 2024 - Springer
This study aims at estimating the inherent variability of microscale boundary-layer flows and
its impact on air pollutant dispersion in urban environments. For this purpose, we present a …

A time‐staggered second order conservative time scheme for variable density flow

H Amino, C Flageul, S Benhamadouche… - … Methods in Fluids, 2022 - Wiley Online Library
In this study, we present a robust conservative time‐staggered scheme for variable density
flow. This pressure correction scheme uses the compressible Navier–Stokes equations and …

Source term estimation: variational method versus machine learning applied to urban air pollution

R Lopez-Ferber, S Leirens… - CSC 2022-IFAC Workshop …, 2022 - cea.hal.science
Source detection is a field of study gaining interest due to environmental concerns about air
quality in populated areas. We developed a machine learning framework inspired by …

Approches RBF-FD pour la modélisation de la pollution atmosphérique urbaine et l'estimation de sources

RL Ferber - 2024 - theses.hal.science
Depuis l'ère industrielle, les villes sont impactées par la pollution de l'air du fait de la densité
de l'industrie, de la circulation de véhicules et de la densité d'appareils de chauffage à …