Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 24, issue 15
Articles | Volume 24, issue 15
https://doi.org/10.5194/acp-24-8677-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-8677-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 15
Research article
 | 
06 Aug 2024
Research article |  | 06 Aug 2024

Enhancing long-term trend simulation of the global tropospheric hydroxyl (TOH) and its drivers from 2005 to 2019: a synergistic integration of model simulations and satellite observations

Amir H. Souri, Bryan N. Duncan, Sarah A. Strode, Daniel C. Anderson, Michael E. Manyin, Junhua Liu, Luke D. Oman, Zhen Zhang, and Brad Weir

Viewed

Total article views: 1,614 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,307 263 44 1,614 93 21 22
  • HTML: 1,307
  • PDF: 263
  • XML: 44
  • Total: 1,614
  • Supplement: 93
  • BibTeX: 21
  • EndNote: 22
Views and downloads (calculated since 29 Feb 2024)
Cumulative views and downloads (calculated since 29 Feb 2024)

Viewed (geographical distribution)

Total article views: 1,614 (including HTML, PDF, and XML) Thereof 1,604 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Dec 2024
Download
Short summary
We explore a new method of using the wealth of information obtained from satellite observations of Aura OMI NO2, HCHO, and MERRA-2 reanalysis in NASA’s GEOS model equipped with an efficient tropospheric OH (TOH) estimator to enhance the representation of TOH spatial distribution and its long-term trends. This new framework helps us pinpoint regional inaccuracies in TOH and differentiate between established prior knowledge and newly acquired information from satellites on TOH trends.
Read more
Altmetrics
Final-revised paper
Preprint