SWECO25: Bioclimatic (bioclim)

The Bioclimatic category contains the "chclim25" dataset.

The chclim25 dataset (bioclimatic category) describes the past, current, and future climate of Switzerland. After resampling the “CHclim25: A high spatial and temporal resolution climate dataset for Switzerland” source data (Broennimann et al., 2021) to the SWECO25 grid, we generated individual precipitation and temperature (min, max, mean) layers at a yearly time step over the 1981-2017 period. In addition, we generated 30-y average climate normal (1981-2010) layers for 28 climate parameters. Layers for the same 28 parameters were also generated for three future periods (2020-2049, 2045-2070, 2070-2099) computed by using their average values projected from for four global climate models (HADGEM, ECEARTH, MPIESM, and IPSL) under three greenhouse gas concentration trajectories or representative concentration pathways (RCPs), RCP2.6, RCP4.5, and RCP8.5. This dataset includes a total of 428 layers. Final values were rounded and multiplied by 100.

The detailed list of layers available is provided in SWECO25_datalayers_details_bioclim.csv and includes information on the category, dataset, variable name (long), variable name (short), period, sub-period, start year, end year, attribute, radii, unit, and path.

References:

Broennimann, O. CHclim25: A high spatial and temporal resolution climate dataset for Switzerland. (Lausanne, Switzerland, 2021).

Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11(1), Article 1. https://doi.org/10.1038/s41597-023-02899-1

Versioning

V2: 1) data update: all layers "tave", "tmin", "tmax" for "present" period have been divided by 10 to fit description. 2) metadata update.