Intro to data assimilation (DA) and the EnKF

An interactive (Jupyter notebook) tutorial. Jump right in (no installation!) by clicking the button of one of these cloud computing providers:

Prerequisites: basics of calculus, matrices (e.g. inverses), random variables, Python (numpy).

If you prefer, you can also run these notebooks on your own (Linux/Windows/Mac) computer. This is a bit snappier than running them online.

Prerequisite: Python 3.9.
If you're an expert, setup a python environment however you like. Otherwise: Install Anaconda, then open the Anaconda terminal and run the following commands:
```
conda create --yes --name my-env python=3.9
conda activate my-env
python --version
```
Ensure the printed version is 3.9.
Keep using the same terminal for the commands below.
Install:
- Download and unzip (or git clone) this repository (see the green button up top)
- Move the resulting folder wherever you like
- cd into the folder
- Install requirements:
  pip install -r path/to/requirements.txt
Launch the Jupyter notebooks:
- Launch the "notebook server" by executing:
  jupyter-notebook
  This will open up a page in your web browser that is a file navigator.
- Enter the folder DA-tutorials/notebooks, and click on a tutorial (T1... .ipynb).

Developer notes

Please don't hesitate to submit issues or pull requests!