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Discussion papers
https://doi.org/10.5194/essd-2019-101
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-101
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Data description paper 20 Jun 2019

Data description paper | 20 Jun 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Earth System Science Data (ESSD).

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

This Rutishauser1,2, Francois Jeanneret2, Robert Brügger2, Yuri Brugnara1,2, Christian Röthlisberger3, August Bernasconi4, Peter Bangerter5, Céline Portenier1,2, Leonie Villiger1,2, Daria Lehmann2, Lukas Meyer1,2, Bruno Messerli, and Stefan Brönnimann1,2 This Rutishauser et al.
  • 1Oeschger Centre for Climate Change Research, University of Bern, Berne, 3012, Switzerland
  • 2Institute of Geography, University of Bern, Berne, 3012, Switzerland
  • 3Grossaffoltern, 3257, Switzerland
  • 4Langnau, 3550, Switzerland
  • 5Einigen, 3646, Switzerland
  • deceased

Abstract. In 1970, the Institute of Geography of the University of Berne initiated the phenological observation network BernClim. Seasonality information from plants, fog and snow originally served for applications in urban and regional planning, agricultural and touristic suitability and are now a valuable data set for climate change impacts studies. Covering the growing season volunteer observers record the dates of key development stages of hazel (Coryllus avellana), dandelion (Taraxacum officinale), apple tree (Pyrus malus) and beech (Fagus sylvatica). All observations consist of detailed site information including location, altitude, exposition and inclination that make BernClim unique in detail-richness on decadal time-scales. Quality control (QC) by experts and statistical analyses of the data has been performed to flag impossible dates, dates outside the biologically plausible range, repeated dates in the same year, stretches of consecutive identical dates, and statistically inconsistent dates (outliers in time or in space). Here, we report BernClim data of 7414 plant phenological observations from 1970 to 2018 from 1304 sites at 110 stations, the QC procedure and selected applications (Rutishauser et al., 2019, https://doi.org/10.1594/PANGAEA.900103). The QC points to a very good internal consistency (only 0.2 % were flagged as internally inconsistent) and likely a high quality of the data. BernClim data indicate a trend towards an extended growing season. They also well track the regime shift in the late 1980s.

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The BernClim plant phenological data set from the Canton of Bern (Switzerland) 1970-2018 T. Rutishauser, F. Jeanneret, R. Brügger, R. Auchmann, Y. Brugnara, C. Röthlisberger, C. Dizerens, L. Villiger, D. Lehmann, L. Meyer, B. Messerli, and S. Brönnimann https://doi.org/10.1594/PANGAEA.900103

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This paper reports 7414 plant phenological observations of the BernClim phenological network from 1970 to 2018 and from 1304 sites at 110 stations as well as the quality control (QC) procedure and selected applications. The QC points to a very good internal consistency (only 0.2 % flagged as internally inconsistent) and likely a high quality of the data. BernClim data originally served in regional planning and agricultural suitability and are now valuable for climate change impacts studies.
This paper reports 7414 plant phenological observations of the BernClim phenological network...
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