pyaerocom tutorials and examples. All content displayed here is based on the official pyaerocom tutorials which are not part of the pyaerocom GitHub repository but are available through the pyaerocom-tutorials repo.
All tutorials are jupyter notebooks.
Note
The tutorials are currently undergoing revision, as the initial set of tutorial notebooks cannot be interactively executed from the outside world, since they relied on access to internal data servers of the Norwegian Meteorological Institute.
.. toctree:: :hidden: getting_started_setup.ipynb getting_started_analysis.ipynb making_a_colocated_data_object_with_pyaerocom.ipynb intro_emep.ipynb overlay_maps.ipynb non_observables.ipynb
This section contains tutorials that are meant to help you getting started quickly with pyaerocom.
- Setup and data access | getting_started_setup.ipynb
- Basic data analysis | getting_started_analysis.ipynb
- Using pyaerocom to create colocated data objects where colocation was done outside of pyaerocom | making_a_colocated_data_object_with_pyaerocom.ipynb
- Reading EMEP data into PyAerocom | intro_emep.ipynb
- Using overlay (pixel) maps | overlay_maps.ipynb
- Using non observables in aeroval experiments | non_observables.ipynb
.. toctree:: :hidden: evaluations/add_custom_variables.ipynb
This section contains tutorials used to show how to do evaluations with PyAeroval. Many of these tutorials assume access to data only available internal to MET Norway.
- Adding Custom Variables | add_custom_variables.ipynb