Articles | Volume 14, issue 3
Atmos. Meas. Tech., 14, 2041–2053, 2021
https://doi.org/10.5194/amt-14-2041-2021
Atmos. Meas. Tech., 14, 2041–2053, 2021
https://doi.org/10.5194/amt-14-2041-2021

Research article 12 Mar 2021

Research article | 12 Mar 2021

Application of the Complete Data Fusion algorithm to the ozone profiles measured by geostationary and low-Earth-orbit satellites: a feasibility study

Nicola Zoppetti et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Nicola Zoppetti on behalf of the Authors (26 Jun 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (03 Jul 2020) by Thomas von Clarmann
RR by Anonymous Referee #1 (07 Jul 2020)
RR by Anonymous Referee #2 (27 Jul 2020)
ED: Reconsider after major revisions (28 Jul 2020) by Thomas von Clarmann
AR by Nicola Zoppetti on behalf of the Authors (14 Oct 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Oct 2020) by Thomas von Clarmann
RR by Anonymous Referee #2 (05 Nov 2020)
ED: Reconsider after major revisions (05 Nov 2020) by Thomas von Clarmann
AR by Nicola Zoppetti on behalf of the Authors (10 Nov 2020)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (10 Nov 2020) by Thomas von Clarmann
AR by Nicola Zoppetti on behalf of the Authors (10 Nov 2020)  Author's response    Manuscript
ED: Publish as is (11 Nov 2020) by Thomas von Clarmann
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Short summary
The new platforms for Earth observation from space will provide an enormous amount of data that can be hard to exploit as a whole. The Complete Data Fusion algorithm can reduce the data volume while retaining the information of the full dataset. In this work, we applied the Complete Data Fusion algorithm to simulated ozone profiles, and the results show that the fused products are characterized by higher information content compared to individual L2 products.