Articles | Volume 13, issue 8
Atmos. Meas. Tech., 13, 4393–4436, 2020
https://doi.org/10.5194/amt-13-4393-2020

Special issue: Towards Unified Error Reporting (TUNER)

Atmos. Meas. Tech., 13, 4393–4436, 2020
https://doi.org/10.5194/amt-13-4393-2020

Review article 17 Aug 2020

Review article | 17 Aug 2020

Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature

Thomas von Clarmann 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 Thomas von Clarmann on behalf of the Authors (13 Feb 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 Feb 2020) by Helen Worden
RR by Anonymous Referee #2 (04 Mar 2020)
RR by Anonymous Referee #1 (19 Mar 2020)
ED: Reconsider after major revisions (20 Mar 2020) by Helen Worden
AR by Thomas von Clarmann on behalf of the Authors (01 May 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (05 May 2020) by Helen Worden
RR by Anonymous Referee #3 (03 Jun 2020)
ED: Publish subject to minor revisions (review by editor) (04 Jun 2020) by Helen Worden
AR by Thomas von Clarmann on behalf of the Authors (26 Jun 2020)  Author's response    Manuscript
ED: Publish as is (04 Jul 2020) by Helen Worden
Short summary
Remote sensing of atmospheric state variables typically relies on the inverse solution of the radiative transfer equation. An adequately characterized retrieval provides information on the uncertainties of the estimated state variables as well as on how any constraint or a priori assumption affects the estimate. This paper summarizes related techniques and provides recommendations for unified error reporting.