Articles | Volume 14, issue 11
Atmos. Meas. Tech., 14, 7355–7368, 2021
https://doi.org/10.5194/amt-14-7355-2021
Atmos. Meas. Tech., 14, 7355–7368, 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

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-122', Anonymous Referee #1, 27 May 2021
    • AC1: 'Reply on RC1', Sheng LI, 18 Jun 2021
    • AC5: 'Reply on RC1', Sheng LI, 31 Jul 2021
  • RC2: 'Comment on amt-2021-122', Anonymous Referee #2, 22 Jun 2021
    • AC2: 'Reply on RC2', Sheng LI, 31 Jul 2021
    • AC3: 'Reply on RC2', Sheng LI, 31 Jul 2021
  • RC3: 'Comment on amt-2021-122', Anonymous Referee #3, 22 Jun 2021
    • AC4: 'Reply on RC3', Sheng LI, 31 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sheng LI on behalf of the Authors (21 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (23 Aug 2021) by Thomas von Clarmann
RR by Anonymous Referee #3 (06 Sep 2021)
RR by Joern Ungermann (17 Sep 2021)
ED: Reconsider after major revisions (04 Oct 2021) by Thomas von Clarmann
AR by Sheng LI on behalf of the Authors (10 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (11 Oct 2021) by Thomas von Clarmann
RR by Anonymous Referee #4 (13 Oct 2021)
RR by Joern Ungermann (21 Oct 2021)
ED: Publish as is (22 Oct 2021) by Thomas von Clarmann
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.