Quantifying spatially explicit uncertainty in empirically downscaled climate data

Ecological simulations including forest and vegetation growth models require climate inputs that match the resolution and extent of the process being modelled. Climate inputs are often derived at resolutions coarser than the scale of many ecosystem processes. Machine learning models can be trained t...

Ausführliche Beschreibung