Synthetic weather diaries: concept and application to Swiss weather in 1816

Brönnimann, Stefan

doi:https://doi.org/10.5194/cp-16-1937-2020

Articles | Volume 16, issue 5

https://doi.org/10.5194/cp-16-1937-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

International methods and comparisons in climate reconstruction...

https://doi.org/10.5194/cp-16-1937-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 5

Research article

|

21 Oct 2020

Research article |

| 21 Oct 2020

Synthetic weather diaries: concept and application to Swiss weather in 1816

Stefan Brönnimann

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Final revised paper (published on 21 Oct 2020)
Supplement to the final revised paper
Preprint (discussion started on 09 Jun 2020)
Supplement to the preprint

Interactive discussion

Status: closed

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

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RC1: 'Synthetic Weather Diaries: Concept and Application to Swiss Weather in 1816', Anonymous Referee #1, 07 Jul 2020
- AC1: 'Reply', Stefan Bronnimann, 05 Aug 2020
RC2: 'Synthetic Weather Diaries: Concept and Application to Swiss Weather in 1816', Anonymous Referee #2, 29 Jul 2020
- AC2: 'Reply', Stefan Bronnimann, 05 Aug 2020

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (19 Aug 2020) by Sam White

AR by Stefan Bronnimann on behalf of the Authors (21 Aug 2020) Author's response Manuscript

ED: Publish as is (31 Aug 2020) by Sam White

AR by Stefan Bronnimann on behalf of the Authors (31 Aug 2020)

Short summary

Scientists often reconstruct climate from proxy data such as tree rings or historical documents. Here, I do the reverse and produce a weather diary from historical numerical weather data. Such "synthetic weather diaries" may be useful for historians, e.g. to compare with other sources or to study the weather experienced during a journey or a military operation. They could also help train machine-learning approaches, which could then be used to reconstruct weather from historical diaries.