Description

The aim of this thesis project is to study the spatio-temporal structure of atmospheric precipitation using a statistical, stochastic, and physical approaches.
Precipitation is a factor governing the evolution of the atmosphere, hydrosphere, and biosphere and therefore impacts hydro-meteorological resources and risks, industrial activities, human activities in general, etc.
One of the fundamental characteristics of precipitation, in addition to its phase and size, is its spatio-temporal distribution. Despite its importance and four decades of contradictory scientific debate on the subject, there is no consensus on a theoretical model of the spatial organization of hydrometeors at a given instant. Thanks to the recent development of a sensor that measures the size, shape, and three components of the hydrometeor velocity, and above all thanks to its ability to instantly scan a volume of approximately 100 L of atmosphere, we wish to revisit the question of the spatio-temporal distribution of hydrometeors from an experimental and then theoretical point of view.

Skills required

The candidate must hold a master's degree and/or engineering degree. Her or his academic background must include physics and applied mathematics. Training in atmospheric sciences would be an asset. The position requires good oral and written communication skills (French and English required) to present at conferences and write scientific articles. We are looking for a motivated and curious person with a good degree of autonomy and strong motivation. The candidate must be able to work in a team in a national, international, and multidisciplinary environment.

Bibliography

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Keywords

Climate, Meteorology, Rainfaill, Statistics, Model, Field measurements