Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 12
Articles | Volume 17, issue 12
https://doi.org/10.5194/gmd-17-4983-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-4983-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 12
Methods for assessment of models
 | 
26 Jun 2024
Methods for assessment of models |  | 26 Jun 2024

Can TROPOMI NO2 satellite data be used to track the drop in and resurgence of NOx emissions in Germany between 2019–2021 using the multi-source plume method (MSPM)?

Enrico Dammers, Janot Tokaya, Christian Mielke, Kevin Hausmann, Debora Griffin, Chris McLinden, Henk Eskes, and Renske Timmermans

Viewed

Total article views: 1,661 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,228 372 61 1,661 47 51
  • HTML: 1,228
  • PDF: 372
  • XML: 61
  • Total: 1,661
  • BibTeX: 47
  • EndNote: 51
Views and downloads (calculated since 16 Dec 2022)
Cumulative views and downloads (calculated since 16 Dec 2022)

Viewed (geographical distribution)

Total article views: 1,661 (including HTML, PDF, and XML) Thereof 1,623 with geography defined and 38 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Nitrogen dioxide (NOx) is produced by sources such as industry and traffic and is directly linked to negative impacts on health and the environment. The current construction of emission inventories to keep track of NOx emissions is slow and time-consuming. Satellite measurements provide a way to quickly and independently estimate emissions. In this study, we apply a consistent methodology to derive NOx emissions over Germany and illustrate the value of having such a method for fast projections.
Read more