Metadata-Version: 2.1
Name: AeroMix
Version: 1.0.1
Summary: Python package for modeling aerosol optical properties
Home-page: https://github.com/sampr7/AeroMix
Author: Sam P Raj
Author-email: sampr7@gmail.com
License: GNU General Public License v3 (GPLv3)
Keywords: aerosol model mixing state AOD SSA g
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENCE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: PyMieScatt

# AeroMix
*by [Sam P Raj](https://github.com/sampr7/) and [P R Sinha](https://www.iist.ac.in/ess/prs)*  
*Department of Earth and Space Sciences*  
*[Indian Institute of Space Science and Technology, Thiruvananthapuram](https://www.iist.ac.in/), IN*  

AeroMix is a versatile open-source aerosol optical model framework designed for computing a wide range of optical and physical properties of complex aerosol mixtures.

## Installation

Use the package manager [pip](https://pypi.org/) to install AeroMix.

```bash
pip install AeroMix
```

## Usage

```python
import AeroMix

# get a sample input dictionary
input_dict = AeroMix.getAerosolType('urban',[0.4,0.5,0.6,0.7,0.8],80]

# run the AeroMix model
AeroMix.run(input_dict)

```

## Documentation
See detailed documentation [here](https://github.com/sampr7/AeroMix/blob/main/Documentation.md).

## License

[GNU General Public License v3 (GPLv3)](https://www.gnu.org/licenses/gpl-3.0.en.html)

## Contact
We are continuously working to improve and enhance the capabilities of our package. Your feedback, suggestions, and reports of any bugs you encounter are incredibly valuable to us. We welcome you to join the discussion on our [GitHub page](https://github.com/sampr7/AeroMix)  or feel free to reach out directly via email. Please send your thoughts and reports to sampr7@gmail.com. 

