Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 11
Articles | Volume 22, issue 11
https://doi.org/10.5194/acp-22-7461-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-7461-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 11
Research article
 | 
10 Jun 2022
Research article |  | 10 Jun 2022

Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US – Part 2: Sensitivity to dry-deposition parameterizations

Min Huang, James H. Crawford, Gregory R. Carmichael, Kevin W. Bowman, Sujay V. Kumar, and Colm Sweeney

Viewed

Total article views: 2,349 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,809 491 49 2,349 150 26 29
  • HTML: 1,809
  • PDF: 491
  • XML: 49
  • Total: 2,349
  • Supplement: 150
  • BibTeX: 26
  • EndNote: 29
Views and downloads (calculated since 20 Jan 2022)
Cumulative views and downloads (calculated since 20 Jan 2022)

Viewed (geographical distribution)

Total article views: 2,349 (including HTML, PDF, and XML) Thereof 2,337 with geography defined and 12 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
This study demonstrates that ozone dry-deposition modeling can be improved by revising the model's dry-deposition parameterizations to better represent the effects of environmental conditions including the soil moisture fields. Applying satellite soil moisture data assimilation is shown to also have added value. Such advancements in coupled modeling and data assimilation can benefit the assessments of ozone impacts on human and vegetation health.
Read more
Altmetrics
Final-revised paper
Preprint