Articles | Volume 11, issue 4
https://doi.org/10.5194/essd-11-1645-2019
https://doi.org/10.5194/essd-11-1645-2019
Data description paper
 | 
11 Nov 2019
Data description paper |  | 11 Nov 2019

The BernClim plant phenological data set from the canton of Bern (Switzerland) 1970–2018

This Rutishauser, François Jeanneret, Robert Brügger, Yuri Brugnara, Christian Röthlisberger, August Bernasconi, Peter Bangerter, Céline Portenier, Leonie Villiger, Daria Lehmann, Lukas Meyer, Bruno Messerli, and Stefan Brönnimann

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Cited articles

Anderson, D. M., Mauk, E. M., Wahl, E. R., Morrill, C., Wagner, A. J., Easterling, D., and Rutishauser, T.: Global warming in an independent record of the past 130 years. Geophys. Res. Lett., 40, 189–193, https://doi.org/10.1029/2012GL054271, 2013. 
Aono, Y. and Kazui, K.: Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9th century, Int. J. Climatol., 28, 905–914, https://doi.org/10.1002/joc.1594, 2008. 
Auchmann, R., Brugnara, Y., Rutishauser T., Brönnimann, S., Gehrig, R., Pietragalla, B., Begert, M., Sigg, C., Knechtl, V., Calpini, B., and Konzelmann, T.: Quality Analysis and Classification of Data Series from the Swiss Phenology Network, Technical Report MeteoSwiss, 271, 77 pp., 2018. 
Brönnimann, S.: Climatic changes since 1700, Springer, Advances in Global Change Research, Vol. 55, xv + 360 pp. 2015. 
Brönnimann, S., Schraner, M., Müller, B., Fischer, A., Brunner, D., Rozanov, E., and Egorova, T.: The 1986–1989 ENSO cycle in a chemical climate model, Atmos. Chem. Phys., 6, 4669–4685, https://doi.org/10.5194/acp-6-4669-2006, 2006. 
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This paper reports 7414 quality-controlled plant phenological observations of the BernClim phenological network in Switzerland. The data from 1304 sites at 110 stations were recorded between 1970 and 2018. The quality control (QC) points to very good internal consistency (only 0.2 % flagged as internally inconsistent) and likely to high quality of the data. BernClim data originally served in regional planning and agricultural suitability and are now valuable for climate change impact studies.
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