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Reference : UMR8539-FRALOT-002
Workplace : PARIS 05
Date of publication : Friday, June 11, 2021
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 October 2021
Proportion of work : Full time
Remuneration : Around 2500E/month according to experience
Desired level of education : 5-year university degree
Experience required : 1 to 4 years
-The Laboratoire de Météorologie Dynamique is looking for a post-doctoral researcher to work on the dynamics of the internal waves in the atmosphere. These waves have scales that place them in the “grey zone” of most climate and weather prediction model. A central issue is to determine to which extent some of them are well resolved and some others need to parameterized.
The candidate will use high resolution global simulations issued from the DYAMOND project, and diagnose the waves in them. A particular focus will be on a comparison between the waves existing in the models and their potential detection by balloon measurements. In doing so, the candidate will analyse if the models represent well gravity waves, mountain waves, and some of the equatorial waves seen during campaigns (Loon and Strateole 2 stratospheric balloon observations). The candidate will also test if state of the art parameterizations of gravity waves (Lott and Miller 1997, Lott and Guez 2013, de la Camara and Lott 2016) do a fair job in representing the waves present in the simulations. Adaptation of the schemes to improve their realism will have to be done, this will include emulation of the schemes using machine-learning techniques and test against the Loon stratospheric balloon observations post processed during the ongoing “VESRI-datawave” project. In this context, the candidate will actively interact with the international consortium (USA, UK, Germany, France) involved in VESRI-datawave.
Analyze high resolution simulations issued from the DYAMOND project, evaluate balloon trajectories in them.
-Compare the gravity waves predicted with existing parameterization and the high resolution simulations
-Emulate and callibrate gravity waves parameterization using machine learning techniques
PHD in meteorology oceanography, fluid dynamics, physics, climatology, data science including machine learning or artificial intelligence.
The LMD is a research unit of CNRS, it is at the forefront of research on the dynamical and physical processes that control the meteorology and the climate evolution. Within it, the DPAO team focuses more on the fundamental aspects. The project is part of an international consorium (USA, UK, Germany), the objective of which is to enable the parametrizations of gravity waves to benefit from artificial intelligence techniques. The post-doctorate will take place at the Ecole Normale Supérieure.
Finance issued from the VERSI-datawave project, salary paid by Ecole Normale Supérieure
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