|From||Gregoire Broquet <email@example.com>|
|Date||Mon, 13 May 2013 16:53:51 +0200|
2 year post-doc position at LSCE on the atmospheric inverse
modeling of natural and anthropogenic CO2 fluxes in Europe|
LSCE – Laboratoire des Sciences du Climat et de l’Environnement
CEA-Orme des Merisiers,
91191 GIF-SUR-YVETTE CEDEX
The Laboratoire des Sciences du Climat et de l'Environnement (LSCE) opens a 2 year post-doc position on the estimate of natural and anthropogenic CO2 fluxes in Europe based on atmospheric measurements, atmospheric transport modeling and statistical inversion.
Inversion systems now start to provide robust information on the seasonal cycle of natural fluxes of CO2 in Europe. However, while the atmospheric measurement network becomes denser in this continent, e.g. with continuous measurement stations set-up and maintained through the ICOS infrastructure, global to regional inversion systems still have difficulties to retrieve robust information on the inter-annual variations, long-term mean or spatial distribution of the ecosystem fluxes. The potential of the ICOS network for the monitoring of anthropogenic emissions is also poorly known. Finally, a strong assessment of the potential of existing (GOSAT) and future satellite GHG observing missions to constrain either the natural and/or the anthropogenic emissions at regional scale in Europe is needed since this potential and the cost of these missions will have to be compared with that of denser in situ networks before they can receive a strong involvement.
LSCE is an internationally renowned institute in the field of biogeochemical cycles and climate research and has a strong expertise in inverse modeling of GHG fluxes. An inversion framework at European scale (~0.5° resolution) has been developed in the laboratory based on the CHIMERE atmospheric transport model and on complementary variational and analytical inversion systems.
The proposed post-doctoral study consists in applying this inversion framework to study, compare and combine results from the assimilation of existing satellite and in situ atmospheric measurements based on the application of the European inverse modeling systems. It also consists in analysing the potential of various future observation networks. In particular, the potential of future satellite missions (carbonsat, Sentinel-5, GOSAT-2, OCO-2, geostationary missions), of the extension of the in situ network, and of their combinations will be analysed.
The successful candidate will work full time at LSCE (LSCE, CEA-Orme des Merisiers, 91191 Gif sur Yvette cedex). She/he will develop the assimilation of satellite data in the regional variational data assimilation framework. She/he will apply it for the estimate of natural fluxes in Europe based on real GOSAT data. She/he will test the potential of future continental and satellite networks to constrain the European fluxes based on the application of the analytical inversion. An important task will be to explore the sensitivity of the results to the estimate of statistical uncertainties in the measurements or models used to constrain the inversion.
The candidate should have a PhD with experience / knowledge in data assimilation, carbon cycle, atmospheric modeling or more generally in modeling tools, statistics. The candidate should be autonomous and able to work with computing tools such as Fortran and/or python, and with complex model codes in UNIX environment. He should also have good communication skills.
The salary will be commensurate with experience. Applications should include a CV and a cover letter, and if possible the names of two reference persons. They should be sent to Philippe Ciais (firstname.lastname@example.org), Grégoire Broquet (email@example.com) and Frédéric Chevallier (firstname.lastname@example.org). The position will start in Fall 2013. Applications should be sent as
soon as possible.
-- Grégoire Broquet <email@example.com> Laboratoire des Sciences du Climat et de l'Environnement L'Orme des Merisiers, Bat 701, Point courrier 129 91191 Gif sur Yvette Cedex, France Tel: +33 (0) 1 6908 8687 / Fax: +33 (0) 1 6908 7716
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