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Reference : UMR6016-FRESZC-003
Workplace : AUBIERE
Date of publication : Monday, June 15, 2020
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 6 July 2020
Proportion of work : Full time
Remuneration : Between 2700 and 3000 euros gross monthly depending on experience
Desired level of education : PhD
Experience required : Indifferent
The lidar observations on board satellite platform are the preferred data to provide the vertical profile of atmospheric properties (clouds, aerosols, etc.).
Interpretation of current lidar measurements and evaluation of the performance of future lidars need efficient simulators. In this context, BLISS (Backscattering Lidar Signal Simulator) is developed by CNES to simulate the backscattered signal measured by a space lidar.
The lidar signal can be assigned by the physical process known as "multiple scattering". This effect is taken into account in BLISS through the multiple diffusion coefficient.
The quantification of the multiple scattering coefficient requires a lidar simulator which takes multiple scattering into account explicitly. McRALI (Monte Carlo Radar and Lidar simulator), developed at LaMP, is a lidar simulator based on a Monte Carlo type approach taking into account multiple scattering and high spectral resolution explicitly.
The objective of this collaborative CNES-LaMP project is to make an intercomparison of the BLISS simulator (CNES) with the Monte Carlo McRALI simulator (LaMP)in order i) to assess the relevance of the two codes, ii) to determine the multiple diffusion coefficients according to iii) different instrumental configurations and iv) to determine an optimal multiple diffusion coefficient in BLISS for the inversion of the lidar signal.
- Bibliographic study on the multiple scattering coefficient for Lidar at wavelengths of interest
- Definition, realization and analyze of results between BLISS and McRALI simulations.
- Writing a summary report
- Use, modification and development of the McRALI simulator based on a Monte Carlo approach and coded in Fortran90. Very high McRALI mastery expected.
- Knoledge in Fortran90, Matlab, Word.
- Knowledge in the field of lidar simulators for a three-dimensional cloudy atmosphere
- Knowledge of radiant atmospheric cloud processes
This contract will take place at LaMP, in Clermont-Fd, within the "Cloud Microphysics and Precipitation" team, in close collaboration with CNES.
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