Missions

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 inversions of NOx emissions from NO2 observations from TROPOMI and their evaluation, especially for the period impacted by the COVID19 pandemic.

Activités

- Bibliographic studies on inverse modeling of NOx
- Getting started with the CIF-CHIMERE variational inversion system for reactive gases
- Inversion of NOx emissions for 2020 and 2021: study of the impact of lockdowns on emissions.
- Evaluation of results
- Presentation of results at project meetings and at national and international conferences
- Writing of reports, abstracts and scientific articles

Compétences

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 environment
Experience 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.

Contexte de travail

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.

Informations complémentaires

LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques), UMR CNRS 7583 is a mixed research laboratory between Paris-Est Créteil University (UPEC), Université de Paris (UP) and CNRS. It is a component of the Observatory of Sciences of the Universe EFLUVE and of Institut Pierre Simon Laplace (IPSL), a Federation of 6 research laboratories working on environment and climate in the Paris region.
The main research themes in LISA relate to the understanding of the functioning of terrestrial and planetary atmospheres and of the impacts related to the changes of the atmospheric composition due to human activities. The methods used are based on direct observations in the atmosphere, on experimental simulations performed in the laboratory and on various numerical modeling approaches