Climate of the Past
Climate of the Past
CP
Articles | Volume 16, issue 5
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:
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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Cited articles

Adelung, J. C.: Grammatisch-kritisches Wörterbuch der Hochdeutschen Mundart, Bauer, Wien, 1811. 
Allan, R., Brohan, P., Compo, G. P., Stone, R., Luterbacher, J., and Brönnimann, S.: The International Atmospheric Circulation Reconstructions over the Earth (ACRE) Initiative, B. Am. Meteorol. Soc., 92, 1421–1425, 2011. 
Allan, R., Endfield, G., Damodaran, V., Adamson, G., Hannaford, M., Carroll, F., Macdonald, N., Groom, N., Jones, J., Williamson, F., Hendy, E., Holper, P., Arroyo-Mora, J. P., Hughes, L., Bickers, R., and Bliuc, A. M.: Toward integrated historical climate research: the example of Atmospheric Circulation Reconstructions over the Earth, WIREs Clim. Change, 7, 164–174, https://doi.org/10.1002/wcc.379, 2016. 
Auchmann, R., Brönnimann, S., Breda, L., Bühler, M., Spadin, R., and Stickler, A.: Extreme climate, not extreme weather: the summer of 1816 in Geneva, Switzerland, Clim. Past, 8, 325–335, https://doi.org/10.5194/cp-8-325-2012, 2012. 
Behringer, W.: Tambora und das Jahr ohne Sommer. Wie ein Vulkan die Welt in die Krise stürzte, C. H. Beck, München, 2016. 
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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Scientists often reconstruct climate from proxy data such as tree rings or historical documents.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.
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