Using GECKO-A to derive mechanistic understanding of SOA formation from the ubiquitous but understudied camphene
收藏NIAID Data Ecosystem2026-03-12 收录
下载链接：
https://zenodo.org/record/5059692
下载链接
链接失效反馈官方服务：
资源简介：
This data repository contains the simulation outputs of GECKO-A model used in the manuscript:
"Using GECKO-A to derive mechanistic understanding of secondary organic aerosol formation from the ubiquitous but understudied camphene"
by Afreh et al., 2021 in ACP
The original ACP article should be properly cited when these data are used in a publication.
创建时间：
2021-07-02
