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DOCTORANT (H/F) : Statistical modelling of the 3D distribution of clouds and estimate of radiative

This offer is available in the following languages:
Français - Anglais

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General information

Reference : UMR8539-ISARIC-019
Workplace : PARIS 05
Date of publication : Tuesday, July 30, 2019
Scientific Responsible name : DUFRESNE Jean-Louis
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 November 2019
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly

Description of the thesis topic

Bibliography and design of an analysis strategy
- Analysis of satellite observations and of meteorological analysis and reanalysis
- development of a statistical model of the 3D structure of clouds and implementation in an existing Monte-Carlo radiative code
- analysis of the Monte-Carlo simulations, comparison with satellite observations
- analysis of the radiative forcing estimate for various greenhouse gases

Good knowledge in numerical modelling and simulation
- Good knowledge in programming (Fortran, Python, etc.), Linux environment
- Ability to analyze spatial observations and numerical simulation results
- Knowledge in climate, universe or Earth science
- Knowledge of English, ease of writing
- Autonomy of work, ability to work in a team

Work Context

The work will be supervised by Jean-Louis Dufresne (LMD) and Cyril Crevoisier (LMD) as part of the ANR MCG-Rad project. The main objective of this project is to development a Monte-Carlo model to estimate the radiative forcing of various greenhouse gases on a global scale, to perform these simulations and to the analysis their results. The work will take place at Sorbonne Université in Paris and will be done in collaboration with researchers from the LAPLACE laboratory in Toulouse and the IRIT laboratory in Toulouse.

Constraints and risks

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