Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 21
Articles | Volume 16, issue 21
https://doi.org/10.5194/gmd-16-6161-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-6161-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 21
Model description paper
 | 
01 Nov 2023
Model description paper |  | 01 Nov 2023

A simplified non-linear chemistry transport model for analyzing NO2 column observations: STILT–NOx

Dien Wu, Joshua L. Laughner, Junjie Liu, Paul I. Palmer, John C. Lin, and Paul O. Wennberg

Viewed

Total article views: 1,363 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
955 363 45 1,363 102 36 31
  • HTML: 955
  • PDF: 363
  • XML: 45
  • Total: 1,363
  • Supplement: 102
  • BibTeX: 36
  • EndNote: 31
Views and downloads (calculated since 15 May 2023)
Cumulative views and downloads (calculated since 15 May 2023)

Viewed (geographical distribution)

Total article views: 1,363 (including HTML, PDF, and XML) Thereof 1,363 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 May 2024
Download
Short summary
To balance computational expenses and chemical complexity in extracting emission signals from tropospheric NO2 columns, we propose a simplified non-linear Lagrangian chemistry transport model and assess its performance against TROPOMI v2 over power plants and cities. Using this model, we then discuss how NOx chemistry affects the relationship between NOx and CO2 emissions and how studying NO2 columns helps quantify modeled biases in wind directions and prior emissions.
Read more