De la par de Thomas Lauvaux et Valérie Gros
General context
With the rapid urbanization of the population across the globe, local and national governments are seeking solutions to entail the fast increase in greenhouse gas emissions from large metropolitan areas. Current methodologies used to quantify city emissions rely primarily on self-reported emissions and statistics on energy production and consumption. To support these inventories, atmospheric data have been suggested as a semi-independent alternative, complementing the information on anthropogenic activities already collected in the inventories. However, atmospheric approaches often lack the mechanistic understanding of the emissions (i.e. not attributable to a specific sector of activity), simply looking at single trace gases to quantify the whole-city emissions. To achieve a deeper understanding of the mechanisms emitting greenhouse gases and support the sectoral attribution of emissions, atmospheric assimilation systems would benefit greatly from additional trace gases, already measured for other purposes such as air quality and plant phenology.
We seek a Postdoctoral Researcher to study greenhouse gas emissions from large metropolitan areas by exploring the relationships between greenhouse gas observations (CO2, CH4, CO) and air quality measurements (NOX, VOC's).
Description of the Research
The first part of the research will focus on analyzing atmospheric measurements collected in and around Paris to understand the relationships between greenhouse gases and more reactive species such as NOx and various VOC's. Observations from other cities able to complement the analysis will be studied to broaden the applicability of the method (e.g. Mexico City, Los Angeles). In the second part, the most informative trace gases identified by the postdoctoral researcher will be integrated into an atmospheric inversion to produce sectoral emissions of greenhouse gases. Inverse methodologies will be considered to introduce multiple atmospheric species into the existing inversion system, enhancing the potential of the inversion to inform about temporal and spatial characteristics of sectoral emissions.
The Postdoctoral Researcher will also participate to an international effort, the Integrated Greenhouse Gas Information System (IG3IS funded by WMO) aiming at comparing multiple inversion systems over a single urban area. Multiple research groups will be involved in this exercise to estimate the accuracy and robustness of the inverse method at high resolution.
Skills
Candidates with experience in regional atmospheric modeling, carbon cycle science, air quality, atmospheric chemistry, and/or data assimilation will be preferentially considered. Experience in programming and data analysis (Python, Fortran, Matlab/IDL, PHP, Web, etc.) and code development under Linux environments is desired.
How to apply
The position will be jointly advised by Dr. Thomas Lauvaux and Dr. Valérie Gros, both at the Laboratoire des Sciences du Climat et de l'Environnement in France. Applications should be sent as soon as possible and before 1 March 2019, including a cover letter, a CV and contact information of two references. Applications should be submitted by e-mail to Thomas Lauvaux (Thomas.Lauvaux@lsce.ipsl.fr) and Valérie Gros (Valerie.Gros@lsce.ipsl.fr). To apply directly on the CNRS job portal, please visit:
https://emploi.cnrs.fr/Offres/CDD/UMR8212-THOLAU-001/Default.aspx?lang=EN
Laboratory
The position is part of the project CIUDAD, funded by the program "Make Our Planet Great Again". LSCE is a leading laboratory in environemntal and climate sciences located in Saclay. It is part of the Institut Pierre Simon Laplace, a large consortium of research laboratories in the Paris area. The postdoctoral researcher will join a team of international experts in carbon cycle sciences and more specifically atmospheric inversion techniques (SATINV).
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