AeroMix v1.0.1: a Python package for modeling aerosol optical properties and mixing states

Raj, Sam P.; Sinha, Puna Ram; Srivastava, Rohit; Bikkina, Srinivas; Subrahamanyam, Damu Bala

doi:https://doi.org/10.5194/gmd-17-6379-2024

Articles | Volume 17, issue 16

https://doi.org/10.5194/gmd-17-6379-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-6379-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 16

Model description paper

|

29 Aug 2024

Model description paper |

| 29 Aug 2024

AeroMix v1.0.1: a Python package for modeling aerosol optical properties and mixing states

Sam P. Raj, Puna Ram Sinha, Rohit Srivastava, Srinivas Bikkina, and Damu Bala Subrahamanyam

Data sets

ERA5 monthly averaged data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.f17050d7

Model code and software

AeroMix Sam P. Raj and Puna Ram Sinha https://doi.org/10.5281/zenodo.10552078

Interactive computing environment

Codes and model output used to generate the figures Sam P. Raj and Puna Ram Sinha https://doi.org/10.5281/zenodo.12625421

Short summary

A Python successor to the aerosol module of the OPAC model, named AeroMix, has been developed, with enhanced capabilities to better represent real atmospheric aerosol mixing scenarios. AeroMix’s performance in modeling aerosol mixing states has been evaluated against field measurements, substantiating its potential as a versatile aerosol optical model framework for next-generation algorithms to infer aerosol mixing states and chemical composition.