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Reference : UMR3589-NADFOU-006
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 : 2437 to 2616€
Desired level of education : PhD
Experience required : 1 to 4 years
Evaluation of the impact of the future instrument IASI-NG for numerical weather prediction.
- Design of an experimental framework for simulating observing systems in the ARPEGE numerical forecasting model.
- Simulations of all observing systems, including IASI-NG
- Realization of numerical experiments of 4D-Var data assimilation with and without IASI-NG over several weeks.
- Evaluation of the quality of the forecasts resulting from the experiments and of the contribution of IASI-NG.
- Writing of a report and/or a scientific article.
- Presentation of the results obtained in meetings and conferences.
-Engineering degree or Master degree.
-Strong computer skills (Linux, Unix, Fortran90,python).
-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 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 future IASI-NG instrument, a hyperspectral infrared sounder, is developed by CNES and will be launched on board Metop Second Generation in 2024. The work proposed here aims at studying the contribution of a selection of channels of the IASI-NG instrument, previously chosen for the global forecasting model ARPEGE. We propose to use a framework of Observing system simulation experiments to evaluate the contribution of IASI-NG on the forecast by focusing on temperature and humidity. This framework will be used for several observing systems. Simulations of IASI-NG observations will be performed on only a subset of channels to reduce computational and storage costs and will be performed with the RTTOV model. The assimilation of the 500 channels selected in a previous study will be evaluated in ARPEGE 4D-Var. Different configurations of the channel selection will also be tested to illustrate the contribution of IASI-NG relative to IASI.
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