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March 2011
Message 82

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[Met-jobs] PhD position at Cemagref (French public research institute for Water & Engineering Research)

From "Roger Brugge" <r.brugge@reading.ac.uk>
To "met-jobs@lists.rdg.ac.uk" <met-jobs@lists.reading.ac.uk>
Date Thu, 24 Mar 2011 09:13:46 +0000

Forwarded from CLIMLIST...

The Cemagref (French public research institute for Water and Engineering
Research) is offering a PhD position on the following topic:

"Probabilistic downscaling with meteorological analogues. Ensuring
spatio-temporal coherence over France in medium-range forecasting and
climate change contexts"

The position is funded by Cemagref (<www.cemagref.fr>) and the Compagnie
Nationale du Rhône (<www.cnr.tm.fr>) for 3 years starting in
october-november 2011.

The applicant will be based in Lyon (France) in the Hydrology-Hydraulics
Research Unit of Cemagref. Interactions are to be expected with French
research labs working on various statistical downscaling techniques.

We are looking for a highly motivated individual with a MSc or
equivalent in geosciences or environmental sciences. Experience or a
strong interest in meteorology, climatology and/or hydrology is an
advantage. Good programming skill (R, Fortran) and good communication
skills in English are highly desirable.

For more information on the position and how to candidate, please send
as soon as possible (and before 30/04/2011) a CV and cover letter by
e-mail to Jean-Philippe Vidal(<jean-philippe.vidal@cemagref.fr>).Below
is a short description of the PhD motivations and aims:

Anticipating short- or long-term hydrological hazards depends on the
anticipation of meteorological hazards, through complex relations
between large-scale atmospheric circulation and local-scale near-surface
variables like precipitation and temperature. This PhD Thesis aims at
studying those relationships with an analogue approach, following the
idea that similar large-scale atmospheric conditions lead to similar
values of local-scale variables. It will focus on two main aspects: the
probabilistic nature of the statistical relationships and the
spatio-temporal coherence of output variables (precipitation,
temperature). Indeed, building a probabilistic method enables to assess
the uncertainty due to this downscaling step, and the spatio-temporal
coherence is essential for hydrological applications, because it
determines the effects on river flows as integrated by the upstream
catchment, for example for extreme meteorological events (heavy rainfall
or sustained drought). Two applications of the downscaling method are
projected within the scope of the thesis: (1) generating short-term
meteorological forecasts on the Rhône basin from large-scale forecasts,
and (2) building high-resolution climate projections over the whole of
France from General Circulation Model outputs.

More information on the application procedure can be found at:
<www.cemagref.fr/sciences-et-technologies/theses/contrats-de-theses-2011/>

-- Dr. Jean-Philippe VIDAL Cemagref Lyon Hydrology-Hydraulics Research
Unit (HHLY) 3 bis quai Chauveau, CP220 - 69336 Lyon Cedex 09 - France
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<jean-philippe.vidal@cemagref.fr>
<www.cemagref.fr/les-contacts/les-pages-personnelles-professionnelles/vidal-jean-philippe/>
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