Our method MISH (Meteorological Interpolation based on Surface Homogenized Data Basis;
Szentimrey and Bihari) was developed for spatial interpolation of meteorological elements.
According to mathematical theorems, the optimal interpolation parameters are known
functions of certain climate statistical parameters, which fact means we could interpolate
optimally if we knew the climate. Furthermore, the data assimilation methods also
need to know the climate if Bayesian estimation theory is to be correctly applied.
Therefore, we have developed the MISH system also to model the climate statistical
parameters, i.e. present climate, by using long data series. It is a nonsense that
we try to model the future climate but we do not know the present climate.