Because poor simulation of meteorological variables is common in climate models, a determination that meteorological variability is more important for certain variables than leaf variability may point to
meteorological bias correction as a more fruitful development path — for certain model applications — than the development of a dynamic phenological routine.
He also presented an example of the application of
bias correction to individual
meteorological variables prior to the formulation of the index based on climate simulations, and showed that the values obtained for the index fitted quite nicely the observations.