January 2017
Message 93

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[Met-jobs] 18-month Postdoc at LSCE/IPSL (France)

From Roger Brugge <>
To "" <>
Date Mon, 30 Jan 2017 11:14:40 +0000

Forwarded from CLIMLIST...

18-month post-doctoral position on "Multi-scale merging of satellite
measurements of the water cycle"

Laboratory : LSCE
Place : Gif-sur-Yvette (France)
Employer : Université de Versailles Saint-Quentin
Dead-line for application : 28-02-2017
Start : As soon as possible from spring 2017


The “Laboratoire des Sciences du Climat et de l’Environnement”
(LSCE-IPSL) and the “Laboratoire Atmosphère, Milieux, Observations
Spatiales” (LATMOS-IPSL) are offering a 18-month post-doctoral position
for the statistical modelling and merging of satellite measurements at
various spatial and temporal scales. This position is part of the
“SPACEOBS” IRS project supported by the Paris-Saclay University and will
be based at the LSCE (Gif-sur-Yvette, France).


A part of the SPACEOBS project aims at constraining the tropical water
cycle and assessing its role in the global climate and in the occurrence
of tropical extreme events. This will be achieved by bringing together,
for the first time, multivariate satellite observations of (i) the
tropical water vapor and energy budgets provided by the sensors of the
Megha-Tropiques mission, sampling the diurnal cycle owing to its unusual
orbit, (ii) the detailed vertical distribution of cloud and
precipitations provided by the series of instruments of the A-Train
constellation, and (iii) the tropospheric wind profiles measured by the
coming ADM-Aeolus mission. This will require scale studies between the
various observing systems, with an innovative approach to merge the
observational sets by dealing with the different space and time
resolutions of clouds, precipitations, water vapor, radiation and
dynamic, which are central elements of the climate sensitivity. This
merging will be performed via the design of dedicated tropical
upscaling/downscaling statistical approaches to build a robust synergy
between the observations. This new ensemble of (merged) observations
will be used to address other scientific questions in the SPACEOBS
project, such as related to: the self-aggregation of convection (aka
“iris effect”), or the impact of the El-Niño phenomenon on the
occurrence of extreme events in the tropics.

Description of the post-doc work:

The post-doc fellow will analyse the space and time scale relationships
between different observing systems over the tropics: A-Train
constellation (CALIOP/Calipso: CPR/CloudSat; CERES/Aqua),
Megha-Tropiques satellite (SAPHIR, ScaRaB) and the upcoming ADM-Aeolus.
In particular, he/she will develop and compare statistical
upscaling/downscaling models to generate the merged observational
dataset. The work will specifically consist in:

Handling a first set of statistical downscaling methods (e.g., GAM,
Analogues, SWG) that will be tested on a representative sample of
satellite measurements. Such well-known methods have never been used
for data fusion before.
Quantifying the quality and robustness of the results based on
geostatistical techniques for structural spatial analysis (e.g.,
Selecting and developing the retained scaling method specifically
designed to account for space/time characteristics of the satellite
Analysing the results and understanding the uncertainties arising
from the transfer to different spatial and temporal scales
Transferring the methodology for implementation in a general workflow
Collaborating on adjustments of the approach to meet the scientific
needs of the other scientific questions within the project
Communicating the results through international conferences and at
least one scientific article in a peer review journal.

Related teams:

Extremes – Statistics – Impacts – Regionalization ( ESTIMR
at LSCE)
Statistique Processus Aérosols Cycle de l'Eau ( SPACE
<> at LATMOS)
Dynamique et physique de l'atmosphère et des océans ( DPAO
<> at LMD)

Required skills and background:

A PhD is required, preferably in remote sensing, atmospheric or climate
sciences, with an experience in statistical analysis and statistical
theory. Ease in using UNIX, shell scripting, and other programming
languages (ideally R) is necessary, as well as being able to work in teams.

Salary : Net monthly salary around 2 000 euros, commensurate with
experience. This includes social services and health insurance.

Contact :

Applications should be submitted by e-mail to Mathieu Vrac
(, Hélène Brogniez
( and Hélène Chepfer
( as soon as possible and must include

a CV
a statement of research interests
the names of at least two references including e-mail addresses and
telephone numbers.

Mathieu Vrac

Laboratoire des Sciences du Climat et de l'Environnement, (LSCE-IPSL)
Centre d'Etudes de Saclay, Orme des Merisiers, Bat. 701
91191 Gif-sur-Yvette, FRANCE
Web :
StaRMIP project website:

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