J-GAIN v1.1: a flexible tool to incorporate aerosol formation rates obtained by molecular models into large-scale models

Yazgi, Daniel; Olenius, Tinja

doi:https://doi.org/10.5194/gmd-16-5237-2023

Articles | Volume 16, issue 17

https://doi.org/10.5194/gmd-16-5237-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-5237-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 17

Model description paper

|

13 Sep 2023

Model description paper |

| 13 Sep 2023

J-GAIN v1.1: a flexible tool to incorporate aerosol formation rates obtained by molecular models into large-scale models

Daniel Yazgi and Tinja Olenius

Data sets

J-GAIN v1.1 Daniel Yazgi and Tinja Olenius https://doi.org/10.5281/zenodo.8220223

Model code and software

J-GAIN, Software repository Daniel Yazgi and Tinja Olenius https://github.com/tolenius/J-GAIN

Short summary

We present flexible tools to implement aerosol formation rate predictions in climate and chemical transport models. New-particle formation is a significant but uncertain factor affecting aerosol numbers and an active field within molecular modeling which provides data for assessing formation rates for different chemical species. We introduce tools to generate and interpolate formation rate lookup tables for user-defined data, thus enabling the easy inclusion and testing of formation schemes.