Key to the Courses
1. Physical bases of climate and its modeling – Le Treut
2. Mathematical methods in climate and geophysical fluid dynamics
(a) Dynamical systems & climate applications – Dijkstra & Ghil
(b) Numerical methods – Dubos
3. Big data, data assimilation, and uncertainty quantification
(a) Data assimilation & climate science applications – Bocquet
(b) Bayesian Inference – Chen
(c) Statistical Methods – Hannart
4. Coupled climate–ecology–economy modeling
(a) Coupled climate–ecology –Brovkin
(b) Coupled climate–economy – Nikolaidi
The Mathematics of Climate and the Environment
Cargese Summer School 9 – 13 Sep
Deadline for financial support: April 30, 2019
Registration : Please contact sabrina.speich@lmd.ens.fr
School Schedule