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Reference : UMR3589-JEAMAH1-001
Workplace : TOULOUSE
Date of publication : Friday, January 11, 2019
Type of Contract : FTC Scientist
Contract Period : 8 months
Expected date of employment : 4 March 2019
Proportion of work : Full time
Remuneration : between 2530 and 3500 € monthly gross salary depending upon qualification and experience
Desired level of education : PhD
Experience required : 5 to 10 years
Exploitation of CFOSAT Wind Radar (SCAT) and Wave Radar (SWIM) data for assimilation into the ARPEGE global numerical forecast model
The activities will concern the exploitation of wind and sea state data from instruments aboard the CFOSAT Franco-Chinese space mission with a view to their assimilation into Météo-France's global numerical weather prediction model ( ARPEGE). It will be:
- format the data for use in the assimilation system of the ARPEGE model (secondary task)
- carry out monitoring experiments over a period of at least one month (systematic comparison of the data with their model equivalent) to evaluate the quality of the scatterometer inverted winds, define appropriate quality controls and specify observation errors (task main)
- perform statistical studies to examine how sea states from wave radar or wave model can be used to correct some bias before assimilation (main task)
- carry out data assimilation cycles and numerical forecasts over a period of at least one month with a system of reference observations, a system with, in addition, the scatterometer winds, a system with, in addition, the winds of scatterometers improved by sea states (main task)
- assess the quality of numerical forecasts statistically and case studies (main task)
- write a report on the findings of the study, namely the contribution of CFOSAT mission data for numerical weather prediction (main task)
The candidate shall have a very good knowledge of advanced programming languages (FORTRAN, PYTHON) and the Linux environment. He must have already worked on the exploitation of large datasets. Knowledge in one of the following areas: remote sensing (including ocean surfaces), numerical modeling and data assimilation would be an added advantage. The candidate must have a good command of French and / or English both in oral and written to communicate his results in the form of reports and presentations.
The activities will be carried out within the modeling and assimilation research group for Météo-France's numerical prediction (CNRM, UMR 3589, Toulouse) with a strong expertise in the assimilation of wind data from scatterometers. Close collaboration with the Marine Forecast Operations Directorate will be put in place for this study (expertise on wave modeling and sea state assimilation). Contacts will also be established with the CNES teams in charge of operating the instruments of the CFOSAT mission.
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