Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1237-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.On the model uncertainties in Bayesian source reconstruction using an ensemble of weather predictions, the emission inverse modelling system FREAR v1.0, and the Lagrangian transport and dispersion model Flexpart v9.0.2
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- Final revised paper (published on 08 Mar 2021)
- Supplement to the final revised paper
- Preprint (discussion started on 23 Sep 2020)
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
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RC1: 'review comment', Anonymous Referee #1, 11 Oct 2020
- AC1: 'Reply to Referee 1', Pieter De Meutter, 06 Nov 2020
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RC2: 'Source term estimate assorted with uncertainties using backward atmospheric transport modelling, Bayesian reconstruction and an ensemble of weather predictions', P. Armand, 18 Oct 2020
- AC2: 'Reply to Referee 2', Pieter De Meutter, 06 Nov 2020
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RC3: 'Review Comments for "On tuning of atmospheric inverse methods: Comparison on ETEX and Chernobyl datasets using FLEXPART v8.1 and v10.3"', Anonymous Referee #3, 27 Oct 2020
- AC3: 'Reply to Referee 3', Pieter De Meutter, 06 Nov 2020
- SC1: 'executive editor comment on gmd-2020-162', Astrid Kerkweg, 27 Oct 2020
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Pieter De Meutter on behalf of the Authors (01 Dec 2020)
Author's response
Manuscript
ED: Referee Nomination & Report Request started (10 Dec 2020) by Slimane Bekki
RR by P. Armand (19 Dec 2020)
RR by Anonymous Referee #1 (22 Dec 2020)
RR by Anonymous Referee #3 (25 Dec 2020)
ED: Publish subject to minor revisions (review by editor) (28 Dec 2020) by Slimane Bekki
AR by Pieter De Meutter on behalf of the Authors (06 Jan 2021)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (10 Jan 2021) by Slimane Bekki
AR by Pieter De Meutter on behalf of the Authors (22 Jan 2021)
Manuscript