A 2D Ising-like model for cloud field ...
Document type :
Article dans une revue scientifique: Article original
Permalink :
Title :
A 2D Ising-like model for cloud field organization in pristine oceans
Author(s) :
Mascaut, Faustine [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Pujol, Olivier [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Brioude, Jérôme [Auteur]
Laboratoire de l'Atmosphère et des Cyclones [LACy]
Jensen, Andrew [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Pujol, Olivier [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Brioude, Jérôme [Auteur]
Laboratoire de l'Atmosphère et des Cyclones [LACy]
Jensen, Andrew [Auteur]
Journal title :
The European Physical Journal Plus
Abbreviated title :
Eur. Phys. J. Plus
Volume number :
138
Pages :
-
Publication date :
2023-02-20
ISSN :
2190-5444
HAL domain(s) :
Planète et Univers [physics]/Océan, Atmosphère
English abstract : [en]
A two-dimensional Ising model is presented in order to reproduce cloud field organization at the mesoscale (i.e., from 10 up to 10 km). This model takes into account different interactions between an air mass and its ...
Show more >A two-dimensional Ising model is presented in order to reproduce cloud field organization at the mesoscale (i.e., from 10 up to 10 km). This model takes into account different interactions between an air mass and its environment. It is shown that this novel and original approach allows to reproduce quite well satellite observations. Although created initially for pristine (i.e., natural) oceanic conditions, this model can be adapted to any other situations, mutatis mutandis.Show less >
Show more >A two-dimensional Ising model is presented in order to reproduce cloud field organization at the mesoscale (i.e., from 10 up to 10 km). This model takes into account different interactions between an air mass and its environment. It is shown that this novel and original approach allows to reproduce quite well satellite observations. Although created initially for pristine (i.e., natural) oceanic conditions, this model can be adapted to any other situations, mutatis mutandis.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CNRS
CNRS
Collections :
Submission date :
2024-01-16T22:55:36Z
2024-02-13T14:28:41Z
2024-02-13T14:28:41Z