Articles | Volume 15, issue 8
Atmos. Meas. Tech., 15, 2407–2416, 2022
https://doi.org/10.5194/amt-15-2407-2022

Special issue: Towards Unified Error Reporting (TUNER)

Atmos. Meas. Tech., 15, 2407–2416, 2022
https://doi.org/10.5194/amt-15-2407-2022
Research article
20 Apr 2022
Research article | 20 Apr 2022

Satellite data validation: a parametrization of the natural variability of atmospheric mixing ratios

Alexandra Laeng 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-2021-373', Anonymous Referee #1, 12 Jan 2022
  • RC2: 'Comment on amt-2021-373', Anonymous Referee #2, 24 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Alexandra Laeng on behalf of the Authors (17 Feb 2022)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Feb 2022) by Mark Weber
RR by Anonymous Referee #1 (02 Mar 2022)
ED: Publish subject to technical corrections (02 Mar 2022) by Mark Weber
AR by Alexandra Laeng on behalf of the Authors (11 Mar 2022)  Author's response    Manuscript
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Short summary
In validation exercises, a universal excuse used to explain the residual discrepancy between the data is the natural atmospheric variability due to imperfect co-locations. This work is the first attempt to quantify this atmospheric variability for a large sample of atmospheric constituents and to provide the user with a tool to substract the natural atmospheric variability portion from the residual variability.