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