Marc Bocquet¹ [email protected] and Alban Farchi¹ [email protected]
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This jupyter notebook has been created by Marc Bocquet and Alban Farchi for the ENPC/ADOMO, MOCIS/NUM2.2 and WAPE/NUM2.2 course.
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This corresponds to one lecture block (3.5 hours).
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This is an introduction to the use of deep learning techniques into geophysical data assimilation.
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