CDD Chercheur
Researcher in charge of co-inversions of NOx and VOC emission from TROPOMI observations and CIF-CHIMERE inversion system (M/W)
Contexte
The industrialization and urbanization have led to degradation of air quality (AQ) and Climate Change (CC). Society is facing major environmental challenges with the need to develop coordinated environmental policies at the level of territories as well as nationwide to limit the impact of pollutant and greenhouse gas emissions on AQ and CC.
The main objective of the ANR ARGONAUT project is to provide high resolution estimates of French anthropogenic emissions for the main pollutants (nitrogen oxides – NOx, carbon monoxide – CO and non-methane volatile organic compounds – NMVOCs) and carbon dioxide (CO2) based on atmospheric inversion and the new generation of atmospheric composition observation satellites (Sentinel-5P/TROPOMI, CO2M). To carry out efficient atmospheric inversions, high-resolution imagery is essential, in particular to exploit the local correlations between the sources, to separate them, and to quantify the anthropogenic contribution and the evolution of their emissions.
As part of the ARGONAUT project, an atmospheric inversion system adapted to the exploitation of this high-resolution imagery has been developed. Ultimately, the project aims to identify the added value of atmospheric inversion approaches based on the assimilation of satellite images and the resulting emission inventories for operational services such as forecasting and assessment of exposure to pollutants or the monitoring of local CO2 emissions.
Description
The proposed work is part of the ANR ARGONAUT project which aims to better estimate French anthropogenic emissions at high resolution for the main pollutants (nitrogen oxides – NOx, carbon monoxide – CO and non-methane volatile organic compounds – NMVOCs) and carbon dioxide (CO2) by atmospheric inversion. These atmospheric inversions are based on the CIF-CHIMERE variational inverse modeling system and the satellite images of S5P/TROPOMI mainly. In this context, the successful candidate will be in charge of the co-inversions of NOx and VOC emissions from NO2 and HCHO observations from TROPOMI and their evaluation.
The main activities of the candidate will be:
- Bibliographic studies on inverse modeling and TROPOMI satellite observations
- Setting up the CIF-CHIMERE variational inversion system for co-inversion
- Inversion of NOx and VOCemissions for different test periods
- Evaluation of results by comparison with other inventories and in-situ observations
- Presentation of results at project meetings and at national and international conferences
- Writing of reports, abstracts and scientific articles
Contact labo
Gaëlle Dufour, LISA-IPSL •
More
https://emploi.cnrs.fr/Offres/CDD/UMR7583-GENTUA-062/Default.aspx
Compétences requises
- PhD in atmospheric or environmental science or related disciplines
- Experience in chemistry and atmospheric transport modeling and data assimilation (particularly satellite data) or statistical methods
- Excellent knowledge of scientific programming (Python, Fortran)
- Knowledge of the Linux environmentExperience in handling large datasets
- Scientific rigor and curiosity
- Autonomy and initiative but with a good ability to work in a team
- Writing and speaking skills in English.
