I am interested in spatial downscaling of global temperature to grid cell.
What I have is a vector of future annual global temperature values which I would like to downscale to (hopefully) 0.5°.
Is this possible in R?
year Temperature 2016 0.8630774 2017 0.8924077 2018 0.9221504 2019 0.9522887 2020 0.982807 2021 1.013691
I have read about the
gdalUtils packages for statistical downscaling using regressions.
Could someone guide/provide me with an example of downscaling the global data to a finer scale using covariates such as altitude, slope, aspect etc?