adomo-mocis-wape-daml-mooc

Marc Bocquet¹ [email protected] and Alban Farchi¹ [email protected]

(1) CEREA, École des Ponts and EdF R&D, IPSL, Île-de-France, France

• This jupyter notebook has been created by Marc Bocquet and Alban Farchi for the ENPC/ADOMO, MOCIS/NUM2.2 and WAPE/NUM2.2 course.

• This corresponds to one lecture block (3.5 hours).

• This is an introduction to the use of deep learning techniques into geophysical data assimilation.

Installation

Install conda, for example through miniconda or through mamba.

Clone the repertory:

$ git clone [email protected]:cerea-daml/adomo-mocis-wape-daml-mooc.git

Go to the repertory. Once there, create a dedicated anaconda environment for the sessions:

$ conda env create -f environment.yaml

Activate the newly created environment:

$ conda activate mooc

Open the notebooks (e.g. with Jupyter) and run the cells:

$ jupyter-notebook daml-part1.ipynb
$ jupyter-notebook daml-part2.ipynb