文件列表:

LICENSE (35149, 2023-07-26)
examples/ (0, 2023-07-26)
examples/2015_lat_round.npy (1304, 2023-07-26)
examples/2015_lon_round.npy (1224, 2023-07-26)
examples/API9878.list (135251, 2023-07-26)
examples/config.ini (5126, 2023-07-26)
examples/example.csv (1466, 2023-07-26)
examples/map_testing.py (4839, 2023-07-26)
examples/toSSH/ (0, 2023-07-26)
examples/toSSH/MR1n/ (0, 2023-07-26)
examples/toSSH/MR1n/MR1n.RO2 (1940, 2023-07-26)
examples/toSSH/MR1n/MR1n.aer (79011, 2023-07-26)
examples/toSSH/MR1n/MR1n.aer.vec (413277, 2023-07-26)
examples/toSSH/MR1n/MR1n.mol (644208, 2023-07-26)
examples/toSSH/MR1n/MR1n.reactions (361695, 2023-07-26)
examples/toSSH/MR1n/MR1n.species (18223, 2023-07-26)
examples/toSSH/MR1n/MR1n.viz (257514, 2023-07-26)
src/ (0, 2023-07-26)
src/AutoPreReduction.py (4493, 2023-07-26)
src/AutoReduction.py (14142, 2023-07-26)
src/AutoTesting.py (13966, 2023-07-26)
src/AutoTrainingParallel.py (103586, 2023-07-26)
src/AutoTrainingSeries.py (45714, 2023-07-26)
src/BuildRunPlot.py (8762, 2023-07-26)
src/ChemRelation.py (14139, 2023-07-26)
src/DataStream.py (48061, 2023-07-26)
src/Functions.py (14569, 2023-07-26)
src/GENOA.py (2365, 2023-07-26)
src/KineticMCMtoPython.py (12527, 2023-07-26)
src/KineticMCMtoSSH.py (14423, 2023-07-26)
src/Module.py (26183, 2023-07-26)
src/MolProperty.py (9698, 2023-07-26)
src/Parameters.py (18518, 2023-07-26)
src/ReductionStrategy.py (83546, 2023-07-26)
src/SSHResultProcess.py (20318, 2023-07-26)
src/SSHSetUp.py (16014, 2023-07-26)
src/__init__.py (327, 2023-07-26)
src/angzen.edf.f (4507, 2023-07-26)
... ...

# 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](https://www.python.org/) 2. [numpy 1.11.0 or later](https://numpy.org/) 3. All the requirements to run [ssh-aerosol](https://sshaerosol.wordpress.com/), including the construction tool [SCONS](http://www.scons.org/wiki/SconsTutorial1) 4. [Open Babel 3.0.1 or later](http://openbabel.org/) (Optional: used for computing aerosol properties from SMILES structures) 5. [UManSysProp](https://github.com/waveform-computing/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](https://matplotlib.org/) (Optional: used for postprocessing) 7. [basemap 1.2.1 or later](https://matplotlib.org/basemap/) (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](https://doi.org/10.5194/gmd-15-8957-2022) to learn more about GENOA v1.0. [](https://zenodo.org/badge/latestdoi/481260565) - GENOA v2.0 [](https://zenodo.org/badge/latestdoi/481260565) The GENOA_v2.0_Manual will be made available soon.

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