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Radiative transfer in gaseous atmospheres and application to atmospheric remote sensing

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Français - Anglais

Date Limite Candidature : jeudi 6 mai 2021

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General information

Reference : UMR5008-FREAND-001
Workplace : VILLEURBANNE
Date of publication : Thursday, March 25, 2021
Scientific Responsible name : FREDERIC ANDRE
Type of Contract : PhD Student contract / Thesis offer
Contract Period : 36 months
Start date of the thesis : 1 October 2021
Proportion of work : Full time
Remuneration : 2 135,00 € gross monthly

Description of the thesis topic

The accurate description of the state of the Earth's atmosphere is presently a priority in a context of global climate change. It requires the application of dedicated forward radiative transfer models combined with robust inverse methods to infer atmospheric characteristics, such as temperature profiles and concentrations of gaseous species, from measurements obtained by active or passive sensors, on-board satellites, air-borne platforms or balloons. However, the amount of remote sensing information has increased exponentially in the recent years up to the point where its treatment has become challenging, even with the computing power currently available. The development of fast and accurate new modeling strategies is required as the core of robust numerical methods to convert radiative measurements into reliable and usable geophysical parameters.
The research work will be done within the frame of the ANR ASGARD's project whose main objective is to propose original modeling developments specifically devoted to the operational analysis of remote sensing data: the definition and assessment of fast though accurate radiative transfer methodologies to treat non-uniform gaseous atmospheres is indeed the main scientific goal of the project. ASGARD will encompass works that extend from theoretical modeling developments up to their detailed validation in situations representative of current and future atmospheric missions, including both scattering and non-LTE configurations.
The PhD work will focus on:
- The development and optimization of codes to treat radiative transfer in non-uniform gaseous atmospheres. Statistical methods and machine learning tools will be used for this purpose.
- The assessment of the methods in real remote sensing applications (METImage/EPS-SG, TROPOMI-Sentinel 5, IASI-NG). Several cases will consider non-LTE configurations.
- Radiative transfer calculations in 3D atmospheres including polarization.

Work Context

This PhD work will be developed in the Radiative Transfer group of the Center for Energetics and Thermal Sciences of Lyon, in the La Doua-LyonTech campus in Villeurbanne (France). The work will require strong interactions with the partners of the ASGARD project (Laboratoire d'Optique Atmosphérique LOA UMR CNRS 8518, Lille, and Département d'Optique and Techniques Associées DOTA ONERA, Palaiseau).

Constraints and risks

No

Additional Information

Desired profile: Master or Engineer degree in atmospheric optics / physics or applied mathematics. A taste for physical mathematics and good programming skills are compulsory. Good knowledge of FORTRAN90 and Python programming languages will be appreciated.

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