Long-term meteorological station Stillberg, Davos, Switzerland at 2090 m a.s.l.

Background information

The Stillberg ecological treeline research site is located in the transition zone between the relatively humid climate of the Northern Alps and the continental climate of the Central Alps. In 1975, 92,000 seedlings of the high-elevation conifer species Larix decidua Mill. (European larch), Pinus cembra L. (Cembran pine), and Pinus mugo ssp. uncinata (DC.) Domin (mountain pine) were systematically planted across an area of 5 hectares along an elevation gradient of about 150 metres, with the aim to develop ecologically, technically, and economically sustainable afforestation techniques at the treeline to reduce the risk of snow avalanches. In the course of time, additional research aspects gained importance, such as the ecology of the treeline ecotone under global change. Alongside the ecological long-term monitoring of the afforestation, several meteorological stations have recorded local meteorological conditions at the Stillberg research site. Here, we provide the Davos Stillberg meteorological timeseries of five stations from 1975 (01-01-1975), the year of the afforestation establishment, until the end of the year 2022 (31-12-2022).

Station description

The five meteorological stations were all installed at the same location (46°46′25.015″N 9°52′01.792″E) at 2090 m a.s.l., in the lower part of the afforestation area. In general, the five stations were operated sequentially (Stillberg_meteo_metadata_stations_v1.csv). However, there are some overlapping time periods when more than one station was operated in parallel. The stations have recorded environmental parameters, such as air and soil temperature, dew point temperature, air pressure, relative humidity, wind direction and velocity, radiation, precipitation, and snow depth (Stillberg_meteo_metadata_parameters_v1.csv). The meteorological measurements were recorded hourly from 1975 until 1996 and have been recorded in 10-minute intervals since 1997.

Data description

We processed the Davos Stillberg meteorological timeseries with the MeteoIO meteorological data pre-processing library (Bavay & Egger, 2014). Data files are provided for each station and quality level separately and named according to the station (see ‘Stillberg_meteo_metadata_stations_v1.csv’). From the raw data in their original formats, we generated three data quality levels: raw standardized (folder ‘raw_standardized’), edited (folder ‘raw_edited’) and filtered (folder ‘filtered’). The processing level is indicated in the headers of the data files. The whole processing protocol is described in a set of human-readable configuration files that are used by MeteoIO to generate the required data quality levels. This improves long-term reproducibility (Bavay et al., 2022), as the data could be regenerated in the future, even using a completely different software, to account for additional data points or to introduce new data corrections. The first quality level (raw standardized) is generated by parsing the original data files and interpreting them in order to convert all data points to a common format and meteorological parameter naming scheme, while excluding unreadable or duplicated data lines. The generated data files are derivatives of CSV files, with a standardised header that contains the metadata that are necessary to interpret and use the data (use metadata) and to populate a data index (search metadata). The latter is a textual implementation of the Attribute Convention for Data Discovery (ACDD) metadata standard (Attribute Convention for Data Discovery 1-3, 2022). The second quality level (edited) builds on the raw data by performing low-level data editing, such as removing some data periods that are known to be unusable (often based on maintenance records or anecdotal evidence) or applying undocumented calibration factors (for example, when there seems to be an obvious offset on a measured parameter for a period between two documented maintenance operations). The third quality level is generated by applying statistical filters on the data (per station and per meteorological parameter) to exclude presumably wrong values. We did not perform gap filling, as no single strategy could be relied upon that would work best for all possible data usage scenarios.

Funding Information:

This work was supported by:

Related Datasets

EnviDat Project: Treeline Research Stillberg Switzerland

Related Publications

Lechler, L.., Rixen, C., Bebi, P., Bavay, M., Marty, M., Barbeito, I., Dawes, M.A., Hagedorn, F., Krumm, F., Möhl, P., Schaub, M. & Frei, E.R. 2023. Fifty years of data enhance the mechanistic understanding of ecological processes in treeline ecotones under global change. In preparation.

Bavay, M., Reisecker, M., Egger, T. & Korhammer, D. 2022. Inishell 2.0: semantically driven automatic GUI generation for scientific models. Geoscientific Model Development 15(2): 365-378. https://doi.org/10.5194/gmd-15-365-2022

Bavay, M. & Egger, T. 2014. MeteoIO 2.4.2: a preprocessing library for meteorological data. Geoscientific Model Development 7(6): 3135-3151. https://doi.org/10.5194/gmd-7-3135-2014

Schönenberger, W. & Frey, W. 1988. Untersuchungen zur Ökologie und Technik der Hochlagenaufforstung. Forschungsergebnisse aus dem Lawinenanrissgebiet Stillberg. Schweizerische Zeitschrift für Forstwesen 139(9):735-820. https://doi.org/10.5169/seals-766744

Schönenberger, W. 1975. Standortseinflüsse auf Versuchsaufforstungen an der alpinen Waldgrenze (Stillberg, Davos), Eidg. Anst. forstl. Versuchswes. Mitt. 51(4): 358-428. https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:13404

Citation:

Frei, Esther R.; Bavay, Mathias; Lechler, Lia; Rixen, Christian; Bebi, Peter (2023). Long-term meteorological station Stillberg, Davos, Switzerland at 2090 m a.s.l.. EnviDat. doi:10.16904/envidat.396.

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Data and Resources

Metadata

Field Values
DOI 10.16904/envidat.396
Publication State Published
Authors
  • Email: esther.freifoo(at)wsl.ch ORCID: 0000-0003-1910-7900 Given Name: Esther R. Family Name: Frei Affiliation: WSL Institute for Snow and Avalanche Research SLF Additional Affiliation : Climate Change, Extremes and Natural Hazards in Alpine Regions Research Centre CERC, 7260 Davos Dorf, Switzerland
  • Email: bavayfoo(at)slf.ch ORCID: 0000-0002-5039-1578 Given Name: Mathias Family Name: Bavay Affiliation: WSL Institute for Snow and Avalanche Research SLF
  • Email: lia.lechlerfoo(at)slf.ch Given Name: Lia Family Name: Lechler Affiliation: WSL Institute for Snow and Avalanche Research SLF Additional Affiliation : Climate Change, Extremes and Natural Hazards in Alpine Regions Research Centre CERC, 7260 Davos Dorf, Switzerland
  • Email: rixenfoo(at)slf.ch ORCID: 0000-0002-2486-9988 Given Name: Christian Family Name: Rixen Affiliation: WSL Institute for Snow and Avalanche Research SLF Additional Affiliation : Climate Change, Extremes and Natural Hazards in Alpine Regions Research Centre CERC, 7260 Davos Dorf, Switzerland
  • Email: bebifoo(at)slf.ch ORCID: 0000-0001-8868-6569 Given Name: Peter Family Name: Bebi Affiliation: WSL Institute for Snow and Avalanche Research SLF Additional Affiliation : Climate Change, Extremes and Natural Hazards in Alpine Regions Research Centre CERC, 7260 Davos Dorf, Switzerland
Contact Person Given Name: Mathias Family Name: Bavay Email: bavayfoo(at)slf.ch
Subtitles
Publication Publisher: EnviDat Year: 2023
Dates
  • Type: Collected Date: 1975-11-01 End Date: 2023-08-31
Version 1.1
Type dataset
General Type Dataset
Language English
Location Switzerland, Davos
Content License Creative Commons Attribution Share-Alike (CC-BY-SA)    [Open Data]
Last Updated October 9, 2023, 12:23 (UTC)
Created April 18, 2023, 09:03 (UTC)