The GENerator of Reduced Organic Aerosol Mechanisms (GENOA v2.0)

GENOA v2.0 is an algorithm that generates semi-explicit chemical mechanisms from explicit mechanisms, with a specific focus on SOA (Secondary Organic Aerosol) formation.

Compared to GENOA v1.0, GENOA v2.0 adopts a parallel reduction framework to identify the most optimal reductions from competitive candidates, and can reduce chemical mechanisms from multiple aerosol precursors.

• Last update: 2023/07/25

Requirements:

1. python 3.5 or later

2. numpy 1.11.0 or later

3. All the requirements to run ssh-aerosol, including the construction tool SCONS

4. Open Babel 3.0.1 or later (Optional: used for computing aerosol properties from SMILES structures)

5. UManSysProp (Optional: used for computing aerosol properties from SMILES structures. Requires an update to be used with Python 3)

6. matplotlib 1.5.1 or later (Optional: used for postprocessing)

7. basemap 1.2.1 or later (Optional: used for postprocessing)

Learning more about the GENOA algorithms:

• GENOA v1.0

Refer to the GENOA_v1.0_Manual and Wang et al.,2022 to learn more about GENOA v1.0.

• GENOA v2.0

The GENOA_v2.0_Manual will be made available soon.