Articles | Volume 22, issue 21
https://doi.org/10.5194/acp-22-14059-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.Inverse modelling of Chinese NOx emissions using deep learning: integrating in situ observations with a satellite-based chemical reanalysis
Data sets
Chemical Reanalysis Products https://doi.org/10.25966/9qgv-fe81
ERA5 hourly data on single levels from 1959 to present https://doi.org/10.24381/cds.adbb2d47
Model settings and surface measurements for air quality study https://doi.org/10.5281/zenodo.5030857
Model code and software
Unet_Chinese_NOx https://doi.org/10.5281/zenodo.7145714