This paper deals with the problem of regionalisation of meteorological data. Regionalised meteorological data valid for a specific location becomes more and more important (agriculture, for, recreation, slipperiness of roads, etc.). The problem is calculating meteorological parameters at a certain location using observations from surrounding measurement stations is considered. Rather than a simple horizontal interpolation of the observations at the surrounding stations an Alternative Interpolation Method (AIM) is used. Various aspects of AIM are studied. Situations are described when the upward and downward transformations will be less accurate. Results from the AIM are compared with results from direct horizontal interpolation. The results presented in this paper are promising for applications where biases are important, e.g., for the calculation of long term averages.
Samenvatting