ForestClim – Bioclimatic variables for microclimate temperatures of European forests

Combining more than 1,200 time series of in situ 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, 27(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.