Development of a visualization method suitable to present tendencies of changes in precipitation

Climate change has become the central question in numerous fields of life. Precipitation is one of the important characteristics of climate. Nowadays, several methods have been developed to present changes of climate and its elements. In this article a new visualization (graphical) method is presented which is suitable to demonstrate changes of different parameters of weather. We used two interpolation methods to prepare the plots, namely artificial neural networks (ANN) and the surface joint method using the least squares model. Our method is presented by means of the examination of time series consisting of the daily amount of precipitation for a 100 years period; but we have applied it for temperature and evaporation data as well.