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

Model code and software

J-GAIN, Software repository Daniel Yazgi and Tinja Olenius

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.