ForestClim – Bioclimatic variables for microclimate temperatures of European forests

Combining more than 1,200 time series of <em>in situ</em> near-surface forest temperatures with topographical, biological and macroclimatic variables in a machine learning model, we predicted the monthly offset for minimum, mean and maximum temperature between sub-canopy temperature at 15 cm above the surface and free-air temperature over the period 2000-2020 at a spatial resolution of 25 x 25 m² across Europe. These offsets were used to calculate bioclimatic variables for microclimate temperatures of European forests. When using any of these layers, please cite: Haesen et al. (2021). ForestTemp – Sub-canopy microclimate temperatures of European forests. Global Change Biology, <em>27</em>(23), 6307–6319. https://doi.org/10.1111/gcb.15892 Haesen et al. (2023). ForestClim – Bioclimatic variables for microclimate temperatures of European forests. Global Change Biology. https://doi.org/10.1111/gcb.16678 We have followed the generally accepted definitions: ForestClim_01 = mean annual temperature ForestClim_02 = mean diurnal range ForestClim_03 = isothermality ForestClim_04 = temperature seasonality ForestClim_05 = maximum temperature of the warmest month ForestClim_06 = minimum temperature of the coldest month ForestClim_07 = temperature annual range ForestClim_08 = mean temperature of the wettest quarter ForestClim_09 = mean temperature of the driest quarter ForestClim_10 = mean temperature of the warmest quarter ForestClim_11 = mean temperature of the coldest quarter To mask pixels by the proportion of extrapolation, the file 'extrapolation.tif' can be used. All layers are projected in epsg:3035.