A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology

标题
A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology
作者
关键词
Surface ozone, TROPOMI, OMI, Ozone profile, HRRR, Random forest, Spatiotemporal distribution
出版物
ENVIRONMENT INTERNATIONAL
Volume 158, Issue -, Pages 106917
出版商
Elsevier BV
发表日期
2021-10-06
DOI
10.1016/j.envint.2021.106917

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search