UFR de Physique

Propositions de stages en laboratoire -- M2

Les offres sont actualisées en mai. Par exemple, les offres de stages pour l'année universitaire 2015-2016 seront mises en place en mai 2015, les offres de stages pour l'année universitaire 2016-2017 seront mises en place pour en mai 2016, etc.

Cloud properties susceptibility to marine aerosols AOD: do clouds exhibit a critical phase transition?

  • Option International « Atmospheric Environnement » du parcours Lumière-Matière
  • Laboratoire: Laboratoire d'Optique Atmosphérique (LOA )
  • Responsable du stage: Olivier PUJOL (olivier.pujol@univ-lille1.fr,
  • Co-responsable(s): Andrew JENSEN (Northland College, Wisconsin, USA)
  • Mots clés: Cloud properties, susceptibility, phase transition, scaling laws, critical exponents, statistical physics
  • Fiche complète en PDF : Fiche complète en PDF

Cloud condensation nuclei CCN and environmental conditions (humidity, temperature, etc.) play a major role in cloud formation and in determining different macroscopic cloud characteristics, like height, cloud liquid water content, and cloud base altitude. A way to quantify this is to determine a kind of susceptibility which represents the change of the cloud characteristic when CCN concentration changes under given thermodynamical conditions.

In this Master 2 internship, the student will investigate how thermodynamics impact such a susceptibility, i.e. environmental conditions. Focus will be put on marine conditions, especially in the Indian Ocean where the environment is far from anthropogenic impacts and is thus close to pre-industrial conditions. If time allows, other similar oceanic region will be considered for comparison. The student will analyze data from ERA-Interim reanalysis and will determine if cloud macroscopic properties are governed by scaling laws with exponents to be calculated. The underlying question is to know whether clouds at the mesoscale exhibit a critical (or high order) phase transition like the paramagnetic/ferromagnetic transitions or the gas/liquid transition in precise condition.

Skills : Python language, Understanding of statistical and theoretical physics