BEATBOX v1.0: Background Error Analysis Testbed with Box Models

Knote, Christoph; Barré, Jérôme; Eckl, Max

doi:https://doi.org/10.5194/gmd-11-561-2018

Articles | Volume 11, issue 2

https://doi.org/10.5194/gmd-11-561-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-11-561-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 2

Model description paper

|

08 Feb 2018

Model description paper |

| 08 Feb 2018

BEATBOX v1.0: Background Error Analysis Testbed with Box Models

Christoph Knote, Jérôme Barré, and Max Eckl

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Final revised paper (published on 08 Feb 2018)
Preprint (discussion started on 04 Oct 2017)

Interactive discussion

Status: closed

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

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- Supplement

EC1: 'Please include the model version number in the manuscript title in the case that your manuscript is accepted for publication in GMD', Tim Butler, 04 Oct 2017
- AC3: 'Response to editor comment', Christoph Knote, 12 Dec 2017
SC1: 'Code Accessibility', Lutz Gross, 10 Oct 2017
- AC1: 'Re: Code availability', Christoph Knote, 11 Oct 2017
RC1: 'Review', Anonymous Referee #1, 03 Nov 2017
- AC2: 'Response to reviewer', Christoph Knote, 12 Dec 2017
RC2: 'Referee Comment', Anonymous Referee #2, 21 Nov 2017
- AC4: 'Response to reviewer', Christoph Knote, 12 Dec 2017
  - AC5: 'Correction to response', Christoph Knote, 19 Dec 2017

Peer-review completion

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

AR by Christoph Knote on behalf of the Authors (19 Dec 2017) Author's response Manuscript

ED: Publish as is (02 Jan 2018) by Tim Butler

AR by Christoph Knote on behalf of the Authors (08 Jan 2018)

Short summary

The Background Error Analysis Testbed with Box Models (BEATBOX) is a toy model to investigate the effects of data assimilation on systems like tropospheric photochemistry in a box model fashion. We present the model system and show its application in a case study using data from a recent field campaign and employing commonly used tropospheric chemistry mechanisms.