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Today's Topics:
1. Vacancy: 3-year post doc position at LSCE - data assimilation
for the study of CO2 ecosystem fluxes in Europe (Gregoire Broquet)
2. PhD position: Improving the accuracy of air quality forecasts
(Roger Brugge)
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Message: 1
Date: Fri, 13 Nov 2015 13:53:36 +0100
From: Gregoire Broquet <gregoire.broquet@lsce.ipsl.fr>
To: met-jobs@lists.reading.ac.uk
Subject: [Met-jobs] Vacancy: 3-year post doc position at LSCE - data
assimilation for the study of CO2 ecosystem fluxes in Europe
Message-ID: <5645DD50.4020601@lsce.ipsl.fr>
Content-Type: text/plain; charset="utf-8"; Format="flowed"
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,
France
Context:
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
temporal resolution.
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/).
Position summary:
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.
Applications:
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@lsce.ipsl.fr
<mailto:gregoire.broquet@lsce.ipsl.fr>) and Philippe Peylin
(philippe.peylin@lsce.ipsl.fr <mailto:philippe.peylin@lsce.ipsl.fr>).
The applications should be sent, and the position will start in as soon
as possible.
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
10.5194/Acp-13-9039-2013.
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,
21 (2).
--
Grégoire Broquet <gregoire.broquet@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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Message: 2
Date: Fri, 13 Nov 2015 19:07:12 +0000
From: "Roger Brugge" <r.brugge@reading.ac.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] PhD position: Improving the accuracy of air
quality forecasts
Message-ID:
<B510E661B180DE459DF354D6B8026C1D8B9DB581@vime-mbx4.rdg.ac.uk>
Content-Type: text/plain; charset="utf-8"
A PhD position is open at the University of Reading in the Meteorology Department on the project:
Improving the accuracy of air quality forecasts
Poor air quality has serious impacts on human health, in particular for those who suffer from chronic respiratory and cardiac illnesses. Public Health England has estimated that in the UK around 29,000 early deaths are attributable to particulate matter air pollution. This staggering impact makes air pollution one of the most important public health issues today. The recently exposed falsification of vehicle emissions data has added a new dimension to the problem, the consequences of which are still being contemplated. With this background, the reliable modelling and forecasting of air pollution is becoming increasingly important and high profile. A key aspect of improved modelling is the validation of pollution models and forecasts using observations. The strong spatial inhomogeneity of air pollution requires the development of improved verification techniques which can guide the identification of sources of model error. This aim of this challenging project is to develop these new and improved verification techniques to identify, isolate and quantify the meteorological and chemical sources of forecast error in a systematic way. For more information on the project please contact h.f.dacre@reading.ac.uk<mailto:h.f.dacre@reading.ac.uk>.
Collaboration: The student will work with Dr Helen Dacre at the University of Reading and also spend at least three months at the Met Office during the project allowing them to observe how their research extends into an operational forecast centre.
Student profile: This project would be suitable for students with a degree in physics, mathematics or a closely related environmental or physical science. Previous knowledge of meteorology and atmospheric chemistry is not essential.
Funding particulars: This PhD project has guaranteed funding via a NERC Industrial CASE Award available for UK students, or EU students that have been resident in the UK for more than 3 years.
Start date: Available now
Contact: Applicants should download an application form http://www.met.reading.ac.uk/pg-research/pgrapplications.html.
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