Articles | Volume 14, issue 11
https://doi.org/10.5194/amt-14-7355-2021
https://doi.org/10.5194/amt-14-7355-2021
Research article
 | 
25 Nov 2021
Research article |  | 25 Nov 2021

A minimum curvature algorithm for tomographic reconstruction of atmospheric chemicals based on optical remote sensing

Sheng Li and Ke Du

Viewed

Total article views: 3,060 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,295 696 69 3,060 48 48
  • HTML: 2,295
  • PDF: 696
  • XML: 69
  • Total: 3,060
  • BibTeX: 48
  • EndNote: 48
Views and downloads (calculated since 07 May 2021)
Cumulative views and downloads (calculated since 07 May 2021)

Viewed (geographical distribution)

Total article views: 3,060 (including HTML, PDF, and XML) Thereof 3,060 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jan 2025
Download
Short summary
A new minimum curvature algorithm has been proposed for tomographic mapping of air chemicals using optical remote sensing based on the seminorms in variational interpolation. The algorithm was evaluated by using multiple test maps. It shows significant improvement compared with the nonsmoothed algorithm, requires only approximately 65 % computation time of the low third derivative algorithm, and is simple to implement by directly using high-resolution grids.