Alban Farchi, CEREA, [email protected]
During these sessions, you will apply two classical data assimilation methods to a shallow water model. The objective for you is to better understand these methods, figure out their practical implementations and identify their key parameters.
These practical sessions, originally designed by Vivien Mallet, are part of the data assimilation course by Marc Bocquet.
Install conda, for example through miniconda or through mamba.
Clone the repertory:
$ git clone [email protected]:cerea-daml/adomo-mocis-wape-daml-tutorial.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 tutorial
[Optional] Update the environment:
$ conda update --all
[Optional] Test the environment (this may take up to one minute):
$ python test_import.py
Open the notebook (e.g. with Jupyter) and follow the instructions:
$ jupyter-notebook tutorial.ipynb