[ES_JOBS_NET] 3-year post-doc position at LSCE: data assimilation for the study of CO2 ecosystem to atmosphere fluxes in Europe
gregoire.broquet at lsce.ipsl.fr
Mon Mar 30 01:38:52 MDT 2015
3-year post-doc position at LSCE:
Data assimilation in a regional ecosystem-atmosphere modelling framework
for the study of CO2 natural fluxes in Europe
LSCE - Laboratoire des Sciences du Climat et de l'Environnement
CEA - L'Orme des Merisiers,
91191 Gif sur Yvette Cedex,
The regional quantification of CO2 ecosystem to atmosphere fluxes and
the understanding of the underlying processes are critical to predict
the fate of the European carbon budget and to support greenhouse gas
(GHG) emission mitigation in the context of global changes. Recent and
promising approaches rely on the use of data assimilation techniques
with state of the art ecosystem and transport models. On one hand, the
atmospheric inversion method derives the surface fluxes that best fit
with atmospheric CO2 measurements, using an atmospheric transport model.
On the other hand, complementary systems are currently developed to
assimilate a wide range of carbon related observations to optimize the
parameters of process-based terrestrial carbon models (CCDASs). The ICOS
infrastructure now provides an unprecedented amount of atmospheric CO2
measurements, eddy covariance carbon, water and energy flux measurements
and biomass data in Europe that can be exploited with these systems to
better understand the variations of ecosystem fluxes at high spatial and
The post doc will be connected to the EUROCOM bilateral project (between
LSCE in France and the University of Lund in Sweden) in collaboration
with other leading European institute in the field of carbon data
assimilation. EUROCOM aims at studying the European ecosystem fluxes and
associated uncertainties at high space and time resolution, based on the
development of a novel regional modeling framework capable of
assimilating various carbon cycle measurements from ICOS and from
satellite observation. EUROCOM will also coordinate an inter-comparison
of state of the art regional model data fusion approaches (inversions
and CCDASs) from the European research community.
LSCE is an internationally renowned institute in the field of
biogeochemical cycles and climate research. It has a strong expertise in
inverse modeling of GHG fluxes and in the development of carbon cycle
data assimilation systems. It has developed a variational meso-scale
inversion framework at European scale solving for 6-hourly fluxes on a
grid of 50 by 50 km based on the CHIMERE transport model (Broquet et al.
2011, JGR; Broquet et al. 2013, ACP) as well as an advanced data
assimilation framework to optimize the parameters of the ORCHIDEE
vegetation model (see http://orchidas.lsce.ipsl.fr/).
The successful candidate will run and analyse the results of i) the
European variational atmospheric inversion system and ii) the coupling
between this system and a regional CCDAS based on a new version of
ORCHIDEE (including management effects on forest, grass and crops). He
will thus directly participate to the development and application of the
first regional model data-fusion approach combining atmospheric
inversion and optimization of process-based terrestrial model parameters
to assimilate multiple-data streams (atmospheric CO2, eddy covariance
fluxes, satellite vegetation indices and possibly biomass measurements).
He will study the recent dynamics of CO2 ecosystem fluxes in Europe
(mean fluxes and inter-annual variations) and the underlying processes,
using the results of this coupled system and the results from the
University of Lund based on a similar approach. He will also help to
establish an inter-comparison of regional data assimilation systems in
Europe that use ICOS observations.
The successful candidate will work nearly full time at LSCE (LSCE,
CEA-Orme des Merisiers, 91191 Gif sur Yvette cedex, France), with the
teams dedicated to inverse modeling, ecosystem modeling and GHG
atmospheric measurements. He will also have the opportunity to spend
some time at the Lund University for inter-comparison exercises using
the framework of the Carbon Portal of ICOS.
The candidate should have a PhD with experience / knowledge in data
assimilation, carbon cycle, atmospheric modeling, ecosystem modeling or
more generally in modeling tools and 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, on the order of 33000
euros net per year, including full health care and retirement pension
benefits. Applications should include a CV and a cover letter, and if
possible the names of two reference persons. They should be sent to
Grégoire Broquet (gregoire.broquet at lsce.ipsl.fr
<mailto:gregoire.broquet at lsce.ipsl.fr>) and Philippe Peylin
(philippe.peylin at lsce.ipsl.fr <mailto:philippe.peylin at lsce.ipsl.fr>).
The applications should be sent, and the position will start in as soon
Some relevant publications:
Broquet, G., F. Chevallier, P. Rayner, C. Aulagnier, I. Pison, M.
Ramonet, M. Schmidt, A. T. Vermeulen, and P. Ciais (2011), A European
summertime CO2 biogenic flux inversion at mesoscale from continuous in
situ mixing ratio measurements, Journal of Geophysical Research-
Atmospheres, 116, doi:Artn D23303.
Broquet, G., et al. (2013), Regional inversion of CO2 ecosystem fluxes
from atmospheric measurements: reliability of the uncertainty estimates,
Atmospheric Chemistry and Physics, 13 (17), 9039-9056, doi:Doi
Kuppel, S., Peylin, P., Chevallier, F., Bacour, C., Maignan, F., and
A.D. Richardson (2012), Constraining a global ecosystem model with
multi-site eddy-covariance data, Biogeosciences, 9, 10.
Kuppel, S., Chevallier, F. and P. Peylin, (2013), Quantifying the model
structural error in carbon cycle data assimilation systems,
geoscientific model development, 6, 1, 45-55, DOI:10.5194/gmd-6- 45-2013.
Santaren, D., Peylin, P., Viovy, N., and P. Ciais (2007), Optimizing a
Process based Ecosystem Model with Eddy-Covariance Flux Measurements:
Part 1. A Pine Forest in Southern France, Global Biogeochemical cycle,
Grégoire Broquet <gregoire.broquet at lsce.ipsl.fr>
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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