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Reference : UMR3589-CHRLAC-002
Workplace : TOULOUSE
Date of publication : Tuesday, December 15, 2020
Type of Contract : FTC Scientist
Contract Period : 18 months
Expected date of employment : 1 April 2021
Proportion of work : Full time
Remuneration : Brut salary is commensurate to qualifications and experience, and ranges from 2648 to 3768 € per month.
Desired level of education : PhD
Experience required : Indifferent
The successful candidate will perform metric spatial resolution simulations (LES, Large Eddy Simulation) with the Meso-NH model coupled to SURFEX on well-documented cases of the SOFOG3D fog campaign, which was held in the south west of France during winter 2019-2020 and gave rise to 15 Intensive Observation Periods (IOP). The most advanced physical parameterizations of the model will be tested: microphysics, radiation, turbulence, vegetation model. The simulations will be evaluated with many innovative observations, such as UAV and tethered balloon measurements, in addition to data from cloud radar, microwave radiometers, radiosondes and the surface measurement network. He / she will then assess the impact of surface heterogeneities (vegetation, orography) on the life cycle of the fog. He / she will use the Meso-NH-SURFEX model for this as a numerical laboratory, by modifying some characteristics of the vegetation, and this study will rely on the surface energy and turbulence budgets to quantify the contributions of mixing and interactions with the surface.
List of tasks to be performed:
→ Carry out Meso-NH simulations on the best documented fog IOPs, by downscaling from the analyzes of the AROME operational model, down to a horizontal resolution of around ten meters and a vertical metric resolution, using sophisticated physics ( 2-moment microphysical scheme, advanced radiation and vegetation schemes).
→ Validate the simulations with multiple observations, at the surface and above
→ Carry out sensitivity studies for some parameterizations to improve the agreement with the observations.
→ Study the impact of surface heterogeneities on the variability of the fog life cycle between the measurement sites, from observations and simulations, using the surface energy and turbulent kinetic energy budgets.
→ Good knowledge of mesoscale atmospheric simulations
→ Good knowledge in Linux, FORTRAN, python and data processing
→ Ability to communicate in English
→ Ability to work in a team, autonomy and sense of initiative
Knowledge of Meso-NH and skill in validating simulations from observations would be a definite advantage.
The post-doctoral contract is part of the ANR SOFOG3D project coordinated by Frédéric Burnet (CNRM), and will be managed by the CNRS. The work will be carried out in the Group of Meso-Scale Meteorology (GMME) of the CNRM, which manages and contributes to the development of the Meso-NH model and its physical parameterizations, in collaboration with the Experimental and Instrumental Meteorology Group (GMEI) which has driven the SOFOG3D fog campaign.
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