Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 11
Articles | Volume 16, issue 11
https://doi.org/10.5194/essd-16-5287-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-5287-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 11
Data description paper
 | 
15 Nov 2024
Data description paper |  | 15 Nov 2024

The global daily High Spatial–Temporal Coverage Merged tropospheric NO2 dataset (HSTCM-NO2) from 2007 to 2022 based on OMI and GOME-2

Kai Qin, Hongrui Gao, Xuancen Liu, Qin He, Pravash Tiwari, and Jason Blake Cohen

Viewed

Total article views: 1,195 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
981 175 39 1,195 27 27
  • HTML: 981
  • PDF: 175
  • XML: 39
  • Total: 1,195
  • BibTeX: 27
  • EndNote: 27
Views and downloads (calculated since 14 May 2024)
Cumulative views and downloads (calculated since 14 May 2024)

Viewed (geographical distribution)

Total article views: 1,195 (including HTML, PDF, and XML) Thereof 1,163 with geography defined and 32 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Dec 2024
Download
Short summary
Satellites have brought new opportunities for monitoring atmospheric NO2, although the results are limited by clouds and other factors, resulting in missing data. This work proposes a new process to obtain reliable data products with high coverage by reconstructing the raw data from multiple satellites. The results are validated in terms of traditional methods as well as variance maximization and demonstrate a good ability to reproduce known polluted and clean areas around the world.
Read more
Altmetrics
Final-revised paper
Preprint