Please, find below the description of a 18-month postdoc position available at LSCE/IPSL (Gif-sur-Yvette, France).
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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:
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.
Applications should be submitted by e-mail to Mathieu Vrac (Mathieu.firstname.lastname@example.org), Hélène Brogniez (email@example.com) and Hélène Chepfer (firstname.lastname@example.org) as soon as possible and must include
-- 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 Email : email@example.com Phone : (+33) 1.69.08.88.62 Fax : (+33) 1.69.08.77.16 Web : www.lsce.ipsl.fr/Phocea/Pisp/index.php?nom=mathieu.vrac StaRMIP project website: http://starmip.lsce.ipsl.fr