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Dynamic Instabilities, Small-scale Turbulence and impacts on the Stratosphere (DISTurbS)

CORDIS · observation · Publication date unknown

ulence on ice clouds, aerosol, and trace gases, 3) evaluating TUTLS turbulence in two different types of atmospheric models, and 4) developing a data-driven parameterization of TUTLS turbulence using machine learning. I will carry out my fellowship at Laboratoire de Météorologie Dynamique (LMD), in Palaiseau, France, under the supervision of Dr. Aurélien Podglajen. My experience with machine learning complements the host's expertise in the theory and measurement of turbulence, and familiarity with the datasets used for this work, facilitating a two-way transfer of knowledge. I will acquire new technical skills in observations and modelling, broaden my physical understanding of the atmosphere, contribute to the planning and execution of a large field campaign, and work with an international network of collaborators, which will critically support my professional ambition of leading my own research group. clear-air turbulence, stratospheric composition, stratosphere-troposphere exchange, observations of turbulence, machine learning, data-driven parameterization, atmospheric modelling

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recordType

award

status

SIGNED

region

EU

value

211754.88

unit

EUR