Inverse modeling of the Chernobyl source term using atmospheric concentration and deposition measurements

Evangeliou, Nikolaos; Hamburger, Thomas; Cozic, Anne; Balkanski, Yves; Stohl, Andreas

doi:https://doi.org/10.5194/acp-17-8805-2017

Articles | Volume 17, issue 14

https://doi.org/10.5194/acp-17-8805-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-8805-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 14

Research article

|

20 Jul 2017

Research article |

| 20 Jul 2017

Inverse modeling of the Chernobyl source term using atmospheric concentration and deposition measurements

Nikolaos Evangeliou, Thomas Hamburger, Anne Cozic, Yves Balkanski, and Andreas Stohl

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Final revised paper (published on 20 Jul 2017)
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Preprint (discussion started on 18 Apr 2017)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Anonymous Referee Comment on acp-2017-330', Anonymous Referee #1, 16 May 2017
- AC1: 'Response to Anonymous Referee #1', Nikolaos Evangeliou, 16 Jun 2017
RC2: 'A Review of Evangeliou et al. Inverse modeling', Anonymous Referee #2, 17 May 2017
- AC2: 'Response to Anonymous Referee #2', Nikolaos Evangeliou, 16 Jun 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Nikolaos Evangeliou on behalf of the Authors (16 Jun 2017) Author's response Manuscript

ED: Publish subject to technical corrections (22 Jun 2017) by Holger Tost

AR by Nikolaos Evangeliou on behalf of the Authors (22 Jun 2017) Author's response Manuscript

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Short summary

This is the first paper that attempts to assess the source term of the Chernobyl accident using not only activity concentrations but also deposition measurements. This is done by using the FLEXPART model combined with a Bayesian inversion algorithm. Our results show that the altitude of the injection during the first days of the accident might have reached up to 3 km, in contrast to what has been already reported (2.2 km maximum), in order the model to better match observations.