|From||ALBERGEL Clément <firstname.lastname@example.org>|
|Date||Wed, 24 Jan 2018 10:46:11 +0100 (CET)|
**Assimilation of microwave derived soil moisture and vegetation properties in a global land data assimilation system (LDAS-Monde)
CNRM develops the ISBA land surface model within SURFEX, an operational modelling platform able to simulate the terrestrial water and carbon fluxes. SURFEX is coupled to a number of atmospheric and hydrological models, and includes a land data assimilation system (LDAS) based on an Extended Kalman filter, able to analyze soil moisture and vegetation biomass at spatial resolutions ranging from 1 to 50 km. LDAS-Monde is operational at a global scale and satellite-derived products are integrated into the ISBA land surface model.
The post-doctoral fellow will contribute to the upgrade of LDAS-Monde. In particular, the use of microwave derived soil moisture and vegetation properties (e.g., leaf area index and vegetation optical depth) at different wavelengths (C-band, Lband) will be tested at different spatial resolutions. The potential impact of the resulting analysis on applications in hydrology, agrometeorology, and on the quality control of satellite-derived land surface variables will be assessed.
The candidates should have knowledge on data assimilation and possibly land surface modelling and/or remote sensing of continental surfaces. They should be familiar with programming data analysis in Python, with the Linux environment, and with the FORTRAN programming language.
The gross annual salary is about 36550 € before income tax, depending on qualification.
Application should be done by email by sending a resume, a cover letter, and the names, telephone and email address of two referees to: email@example.com
The closing date for applications is : 25 February 2018.
Funding source: "Fondation - Sciences et Technologies pour l’Aéronautique et l’Espace" (STAE), Toulouse, France.
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