Articles | Volume 15, issue 22
Atmos. Meas. Tech., 15, 6723–6737, 2022
https://doi.org/10.5194/amt-15-6723-2022
Atmos. Meas. Tech., 15, 6723–6737, 2022
https://doi.org/10.5194/amt-15-6723-2022
Research article
22 Nov 2022
Research article | 22 Nov 2022

Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements

Marco Ridolfi et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-82', Anonymous Referee #2, 24 Jun 2022
    • AC1: 'Reply on RC1', Marco Ridolfi, 19 Sep 2022
  • RC2: 'Comment on amt-2022-82', Joern Ungermann, 28 Jun 2022
    • AC2: 'Reply on RC2', Marco Ridolfi, 19 Sep 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Marco Ridolfi on behalf of the Authors (21 Oct 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (24 Oct 2022) by Martin Riese
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Short summary
Synergistic retrieval (SR) and complete data fusion (CDF) methods exploit the complementarity of coinciding remote-sensing measurements. We assess the performance of the SR and CDF methods on the basis of synthetic measurements of the FORUM and IASI-NG missions. In the case of perfectly matching measurements, SR and CDF results differ by less than 1 / 10 of the error due to measurement noise. In the case of a realistic mismatch, the two methods show differences in the order of their error bars.