A5019397963- Atmospheric aerosols and clouds
- Meteorological Phenomena and Simulations
- Wind and Air Flow Studies
- Atmospheric chemistry and aerosols
Météo-France
2018-2024
Université de Toulouse
2020-2024
Centre National de la Recherche Scientifique
2018-2024
Abstract Fog is a high-impact weather phenomenon affecting human activity, including aviation, transport, and health. Its prediction longstanding issue for forecast models. The success of depends on complex interactions among various meteorological topographical parameters; even very small changes in some these can determine the difference between thick fog good visibility. This makes one most challenging goals numerical prediction. Local Nonlocal Experiment (LANFEX) an attempt to improve...
Abstract A 100 m resolution simulation of radiation fog observed during the Local And Non‐local Fog EXperiment (LANFEX) was performed over Shropshire hills (UK) in order to understand impact local circulation on valley formation. The model correctly resolves all valleys and their different geometries, associated dynamical features, conditions between measurement sites. Passage stratocumulus night led dissipation gave opportunity study two formation stages. In narrow valleys, formed at floor...
Abstract. An intercomparison between 10 single-column (SCM) and 5 large-eddy simulation (LES) models is presented for a radiation fog case study inspired by the Local Non-local Fog Experiment (LANFEX) field campaign. Seven of SCMs represent equivalents operational numerical weather prediction (NWP) models, whilst three are research-grade designed simulation, LESs to reproduce in best manner currently possible underlying physical processes governing formation. The LES model results variable...
Abstract. An intercomparison between 10 single-column (SCM) and 5 large-eddy simulation (LES) models is presented for a radiation fog case study inspired by the LANFEX field campaign. 7 of SCMs represent equivalents operational numerical weather prediction (NWP) models, whilst 3 are research-grade designed simulation, LES to reproduce in best manner currently possible underlying physical processes governing formation. The model results variable quality, do not provide consistent baseline...
Abstract The work presented in this article studies the impact of cloud condensation nuclei (CCN) activation for fog forecasting and improves its parameterization LIMA (Liquid, Ice, Multiple Aerosols) two‐moment microphysical scheme, building upon Local And Non‐local Fog EXperiment (LANFEX) field campaign observations, specifically intensive observation period (IOP) 1 DEMISTIFY intercomparison. Large‐eddy simulations were performed with Meso‐NH model, first using a prognostic supersaturation...