Machine Learning and Uncertainties in Climate Simulations

Machine learning and uncertainties in climate simulations
From Monday 06.06.2022 to Thursday 06.09.2022

Address:

Moulin Mer
Logonna-Daoulas
Finistère
France

Public

Enseignants chercheurs
Doctorants

Sources of uncertainties can be of different nature in climate studies including model approximations from the true climate system, intra and inter model variability, subgrid errors, measurement errors, anthopogeneic forcing trajectories, and so on. This wokshop will investigate how to assess, model, and combine these uncertatinties wihin statistical and machine learning methods. This workshop will integrate sessions on stochastic weather simulators (SWGEN) in order to bridge the existing SWGEN community with ML researchers.

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The workshop is all inclusive: accommodation (private bedroom), breakfasts, lunches, dinners and coffee breaks. The workshop will begin on Monday afternoon and end on Thursday morning. Lunches will also be offered on these days.

Formulaire de contact

Organizer(s)

Pierre Ailliot, Univ. Brest

Valérie Monbet, Univ. Rennes 1

Pierre Ribereau, Univ. Lyon 1

Pierre Tandeo, IMT Atlantique

Gwladys Toulemonde, Univ. Montpellier

Partner(s)

Institut de Recherche Mathématique de Rennes - IRMAR

Laboratoire de Mathématiques Jean Leray

École normale supérieure de Rennes - Département Mathématiques

Laboratoire Angevin de Recherche en Mathématiques - LAREMA

Laboratoire de Mathématiques de Bretagne Atlantique - LMBA

Laboratoire Manceau de Mathématiques - LMM

Published on 29.04.2022
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