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.
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.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
29 Aug 2024
Model description paper |
| 29 Aug 2024
| 29 Aug 2024
AeroMix v1.0.1: a Python package for modeling aerosol optical properties and mixing states
Sam P. Raj
Department of Earth and Space Sciences, Indian Institute of Space Science and Technology, Thiruvananthapuram, Kerala 695547, India
Department of Earth and Space Sciences, Indian Institute of Space Science and Technology, Thiruvananthapuram, Kerala 695547, India
Rohit Srivastava
National Centre for Polar and Ocean Research, Ministry of Earth Sciences, Government of India, Vasco da Gama, Goa, 403804, India
Srinivas Bikkina
Birbal Sahni Institute of Palaeosciences, 53 University Road, Lucknow 226007, India
Damu Bala Subrahamanyam
Space Physics Laboratory, Vikram Sarabhai Space Centre, Thiruvananthapuram, Kerala 695022, India
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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.
A Python successor to the aerosol module of the OPAC model, named AeroMix, has been developed,...
