Articles | Volume 17, issue 17
https://doi.org/10.5194/amt-17-5147-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.Special issue:
A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument
Data sets
A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument https://doi.org/10.7910/DVN/ZQQJRO