Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 14
Articles | Volume 17, issue 14
https://doi.org/10.5194/gmd-17-5545-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-5545-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 14
Model evaluation paper
 | 
24 Jul 2024
Model evaluation paper |  | 24 Jul 2024

Evaluating CHASER V4.0 global formaldehyde (HCHO) simulations using satellite, aircraft, and ground-based remote-sensing observations

Hossain Mohammed Syedul Hoque, Kengo Sudo, Hitoshi Irie, Yanfeng He, and Md Firoz Khan

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 1,284 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,065 188 31 1,284 55 43 68
  • HTML: 1,065
  • PDF: 188
  • XML: 31
  • Total: 1,284
  • Supplement: 55
  • BibTeX: 43
  • EndNote: 68
Views and downloads (calculated since 25 Mar 2024)
Cumulative views and downloads (calculated since 25 Mar 2024)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 1,284 (including HTML, PDF, and XML) Thereof 1,284 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Oct 2025
Download
Short summary
Using multi-platform observations, we validated global formaldehyde (HCHO) simulations from a chemistry transport model. HCHO is a crucial intermediate in the chemical catalytic cycle that governs the ozone formation in the troposphere. The model was capable of replicating the observed spatiotemporal variability in HCHO. In a few cases, the model's capability was limited. This is attributed to the uncertainties in the observations and the model parameters.
Read more
Share