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            <p><small><span style="font-family: CopperplateGothic;
                  font-weight: 700; "><font size="5"><small>3-year
                      post-doc position at LSCE: </small></font></span></small></p>
            <p><small><font size="5"><small><span style="font-family:
                      CopperplateGothic; font-weight: 700; ">Data
                      assimilation in a regional ecosystem-atmosphere
                      modelling framework for the study of
                      CO</span><span style="font-family:
                      CopperplateGothic; font-weight: 700;
                      vertical-align: -1pt; ">2 </span><span
                      style="font-family: CopperplateGothic;
                      font-weight: 700; ">natural fluxes in Europe</span></small></font><span
                  style="font-size: 14pt; font-family:
                  CopperplateGothic; font-weight: 700; "> </span></small></p>
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              <div>LSCE - Laboratoire des Sciences du Climat et de
                l'Environnement </div>
              <div>CEA - L'Orme des Merisiers,<br>
                91191 Gif sur Yvette Cedex, </div>
              <div>France</div>
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                    <p><span style="font-size: 12.000000pt; font-family:
                        'CopperplateGothic'; font-weight: 700">Context:
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">The regional quantification
                        of CO</span><span style="font-size: 8.000000pt;
                        font-family: 'TimesNewRomanPSMT';
                        vertical-align: -1.000000pt">2 </span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">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 CO</span><span
                        style="font-size: 8.000000pt; font-family:
                        'TimesNewRomanPSMT'; vertical-align:
                        -1.000000pt">2 </span><span style="font-size:
                        12.000000pt; font-family: 'TimesNewRomanPSMT'">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 CO</span><span
                        style="font-size: 8.000000pt; font-family:
                        'TimesNewRomanPSMT'; vertical-align:
                        -1.000000pt">2 </span><span style="font-size:
                        12.000000pt; font-family: 'TimesNewRomanPSMT'">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 temporal resolution.
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">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.
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">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 <a
                          href="http://orchidas.lsce.ipsl.fr/">http://orchidas.lsce.ipsl.fr/</a>).
                      </span></p>
                    <p><span style="font-size: 11.000000pt; font-family:
                        'CopperplateGothic'; font-weight: 700">Position
                        summary:
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">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 CO</span><span style="font-size:
                        8.000000pt; font-family: 'TimesNewRomanPSMT';
                        vertical-align: -1.000000pt">2</span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">, 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.
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">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 </span><span
                        style="font-family: TimesNewRomanPSMT;
                        font-size: 12pt; ">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.</span></p>
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                    <p><span style="font-size: 11.000000pt; font-family:
                        'CopperplateGothic'; font-weight: 700">Applications:
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">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.
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">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 (</span><span style="font-size:
                        12.000000pt; font-family: 'TimesNewRomanPSMT';
                        color: rgb(0.000000%, 0.000000%, 50.196080%)"><a
                          href="mailto:gregoire.broquet@lsce.ipsl.fr">gregoire.broquet@lsce.ipsl.fr</a></span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'; color: rgb(0.000000%,
                        0.000000%, 100.000000%)">) </span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">and Philippe Peylin (</span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'; color: rgb(0.000000%,
                        0.000000%, 50.196080%)"><a
                          href="mailto:philippe.peylin@lsce.ipsl.fr">philippe.peylin@lsce.ipsl.fr</a></span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">). The
                        applications should be sent, and the position
                        will start in as soon as possible.
                      </span></p>
                    <p><span style="font-size: 11.000000pt; font-family:
                        'CopperplateGothic'; font-weight: 700">Some
                        relevant publications:
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">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, </span><span style="font-size:
                        12.000000pt; font-family: 'TimesNewRomanPS';
                        font-style: italic">Journal of Geophysical
                        Research-
                        Atmospheres</span><span style="font-size:
                        12.000000pt; font-family: 'TimesNewRomanPSMT'">,
                      </span><span style="font-size: 12.000000pt;
                        font-family: 'TimesNewRomanPS'; font-style:
                        italic">116</span><span style="font-size:
                        12.000000pt; font-family: 'TimesNewRomanPSMT'">,
                        doi:Artn D23303.
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">Broquet, G., et al. (2013),
                        Regional inversion of CO2 ecosystem fluxes from
                        atmospheric
                        measurements: reliability of the uncertainty
                        estimates, </span><span style="font-size:
                        12.000000pt; font-family: 'TimesNewRomanPS';
                        font-style: italic">Atmospheric Chemistry and
                        Physics</span><span style="font-size:
                        12.000000pt; font-family: 'TimesNewRomanPSMT'">,
                      </span><span style="font-size: 12.000000pt;
                        font-family: 'TimesNewRomanPS'; font-style:
                        italic">13 </span><span style="font-size:
                        12.000000pt; font-family: 'TimesNewRomanPSMT'">(17),
9039-9056,
                        doi:Doi 10.5194/Acp-13-9039-2013.<br>
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">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, </span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPS'; font-style: italic">Biogeosciences</span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">, 9, 10. </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">Kuppel, S., Chevallier, F.
                        and P. Peylin, (2013), Quantifying the model
                        structural error in carbon
                        cycle data assimilation systems, </span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPS'; font-style: italic">geoscientific
                        model development</span><span style="font-size:
                        12.000000pt; font-family: 'TimesNewRomanPSMT'">,
                        6, 1, 45-55, DOI:10.5194/gmd-6-
                        45-2013.
                      </span></p>
                    <p><span style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">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, </span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPS'; font-style: italic">Global
                        Biogeochemical cycle</span><span
                        style="font-size: 12.000000pt; font-family:
                        'TimesNewRomanPSMT'">, 21 (2). </span></p>
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    <pre class="moz-signature" cols="72">-- 
Grégoire Broquet <a class="moz-txt-link-rfc2396E" href="mailto:gregoire.broquet@lsce.ipsl.fr">&lt;gregoire.broquet@lsce.ipsl.fr&gt;</a> 
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
</pre>
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