User guide for SAR Doppler data - Online version of the user manual is available at: https://metno.github.io/MET_SAR-Doppler_User_Guide/.
To find the ipynb (jupyter notebook) files go to the notebooks folder.
To find the HTML files for the different Jupyter notebooks that collectively
constitute the user guide, go to _build/html/notebooks and select your desired notebook.
The user guide is also available as a PDF. However, with the in place structure of the manual, it is preferable to open it as HTML, indvidual jupyter notebooks or as a jupyter-book. This has to do with certain code snippets and outputs.
Here is the link to the jupyter-book documentation: https://jupyterbook.org/en/stable/intro.html
In order to run the examples interactively, install jupyter in a local conda environment (see https://docs.conda.io/projects/conda/en/stable/user-guide/install/index.html). The code below is tested on a linux ubuntu terminal:
conda create -n "jupyter" python=3.12
conda activate jupyter
conda install -c conda-forge xarray netCDF4 bottleneck pydap matplotlib cartopy jupyter
pip install fadg@git+https://github.com/metno/esa-coscaw-data-search.git
In the terminal:
conda activate jupyter
jupyter notebook
A browser tab should open. Open one of the ipynb files in the file overview. The code snippets can be run by selecting them, and clicking ctrl-enter.
Note that you can use the web search to find other datasets, and replace filenames with opendap urls to look at the data you find online.