Climatic dataset for Switzerland downscaled from MeteoSwiss gridded data at 1km to 25m using local regressions. It includes daily mean/max/min temperatures (TabsD/TminD/TmaxD), daily sum of precipitation (RhiresD ) and daily relative sunshine duration (SrelD)), and daily potential incoming solar radiations (SradD) for 1981 to 2015. Gridded climate change scenarios of temperature and precipitations at 0.02°D (~2.2 km) from the CH2011 initiative (reviewed in Zubler et al. 2014) were downscaled with bilinear interpolation at 25m and applied to calculated climatic layers (A1B, A2 and the mitigation scenario RCP3PD are available for time slices 2020-2049, 2045-2074, and 2070-2099).
Available upon request at email@example.com
Technical report: Broennimann, O. (2018). CHclim25: A high spatial and temporal resolution climate dataset for Switzerland. Ecospat laboratory, University of Lausanne, Switzerland.
Swiss Eco-Climatic GIS data
This pdf shows the different eco-climatic GIS layers available for Switzerland. Information is provided about the methods used for the creation of the layers as well as their interdependances and correlations.
Example dataset for MigClim.genClust
This dataset is to be used with the MigClim.genClust function implemented in the MigClim R package
Bioclim variables for Southern South America
19 bioclimatic variables based on Nix 1985, derived from a dataset of monthly climatic variables (1950-2000, 1 km spatial resolution) created with Anusplin software (Hutchinson 2006). More details on the methods here.
Suggested citation: Pliscoff, P., Luebert, F., Hilger, H. H., & Guisan, A. (2014). Effects of alternative sets of climatic predictors on species distribution models and associated estimates of extinction risk: A test with plants in an arid environment. Ecological Modelling, 288, 166–177
Download zip files:
Bioclim variables: 1-7 8-14 15-19
Monthly temperature mean: 1-6 7-12
Monthly temperature min: 1-6 7-12
Monthly temperature max: 1-6 7-12
Monthly precipitation: 1-12