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Reference : UMR3589-NADFOU-008
Workplace : TOULOUSE
Date of publication : Monday, July 12, 2021
Type of Contract : FTC Technical / Administrative
Contract Period : 18 months
Expected date of employment : 15 September 2021
Proportion of work : Full time
Remuneration : between 2088 and 2206
Desired level of education : 5-year university degree
Experience required : Indifferent
Evaluation of the impact of the CMIM constellation for numerical weather prediction through information content studies and observation system simulation experiments.
- Simulations of several CMIM instrument configurations (Constellation of Mini IR Sounder for Meteorology)
- Study of information content
- Realization of numerical experiments of 4D-Var data assimilation with and without CMIM over several weeks.
- Evaluation of the quality of the forecasts resulting from the experiments and of the contribution of CMIM.
- Writing of reports and a scientific article.
- Presentation of the results obtained in meetings and conferences.
-Engineering degree and/or PhD.
-Strong computer skills (Linux, Unix, Fortran90).
-Knowledge in numerical weather prediction desired (especially in data assimilation).
-Knowledge in radiative transfer and satellite observations.
-Good organizational skills and ability to synthesize data.
-Ability to write and present in English.
The proposed position is located at the National Centre of Meteorological Research (CNRM) in Toulouse, a joint research unit of Météo-France and CNRS. The candidate will join the Observations team of the Modelling and Assimilation Group for Forecasting. This group is in charge of developing future operational numerical weather prediction models for Météo-France. The Observations team develops the integration of meteorological observations in the models to define the initial state of the forecast.
The CMIM project (Constellation of Mini IR Sounder for Meteorology) of CNES aims to define a constellation of mini satellites for numerical weather prediction. The objective of the CNRM's contribution to this project is to perform OSSEs (Observation System Simulation Experiments) to help CNES determine which instruments and which satellite constellations (types of orbit, number of satellites per orbit) will improve numerical weather prediction. This will imply both studies on the information content for numerical weather prediction of the various proposed instrumental concepts and the generation of OSSEs in order to quantify their contribution to the global ARPEGE model.
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