Articles | Volume 24, issue 15
https://doi.org/10.5194/acp-24-8677-2024
https://doi.org/10.5194/acp-24-8677-2024
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: 1,443 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,164 236 43 1,443 90 19 20
  • HTML: 1,164
  • PDF: 236
  • XML: 43
  • Total: 1,443
  • Supplement: 90
  • BibTeX: 19
  • EndNote: 20
Views and downloads (calculated since 29 Feb 2024)
Cumulative views and downloads (calculated since 29 Feb 2024)

Viewed (geographical distribution)

Total article views: 1,443 (including HTML, PDF, and XML) Thereof 1,425 with geography defined and 18 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 05 Oct 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.
Altmetrics
Final-revised paper
Preprint