I am trying to use biascorrection() with isimip3 algorithm. Here the code:
pr.proj.BC <- biasCorrection(pr.arcis.ORIG.hist, pr.hist, pr.proj, precipitation=TRUE, wet.threshold=1,method="isimip3")
Now:
pr.arcis.ORIG.hist is a grid 2x2km for period 1971-2005. It is an interpolation of station data. Variable: daily cumulative precipitation
pr.hist is a grid 12x12km for period 1971-2005. It is the output of a CORDEX model in historical period. Variable: daily cumulative precipitation
pr.proj is a grid 12x12km for period 2006-2015. It is the output of a CORDEX model in forecast period. Variable: daily cumulative precipitation.
The issue I realize is that in some grid points the resulting grid pr.proj.BC have negative values for pr variable. How is it possible? Is there an error in the R script. Is the mistake mine?
I am trying to use biascorrection() with isimip3 algorithm. Here the code:
pr.proj.BC <- biasCorrection(pr.arcis.ORIG.hist, pr.hist, pr.proj, precipitation=TRUE, wet.threshold=1,method="isimip3")
Now:
pr.arcis.ORIG.hist is a grid 2x2km for period 1971-2005. It is an interpolation of station data. Variable: daily cumulative precipitation
pr.hist is a grid 12x12km for period 1971-2005. It is the output of a CORDEX model in historical period. Variable: daily cumulative precipitation
pr.proj is a grid 12x12km for period 2006-2015. It is the output of a CORDEX model in forecast period. Variable: daily cumulative precipitation.
The issue I realize is that in some grid points the resulting grid pr.proj.BC have negative values for pr variable. How is it possible? Is there an error in the R script. Is the mistake mine?