Conversion of Meteorological Input Data Implemented in the Algorithm of Storm Prediction

Abstract

This article focuses on a new way of converting input meteorological parameters, based on which outputs are computed in the Algorithm of Storm Prediction (Algorithm). This Algorithm has been developed to forecast precipitation and dangerous phenomena associated with convective severe storms that may cause floods in the Czech Republic. Transformation Algorithm of Input Meteorological Parameters is shown in the methodological part for data conversion purposes. The result section evaluates the accuracy of converted outputs using three aggregation methods. The outputs of this article will be used to improve the quality of converted data for computing outputs in the Algorithm of Storm Prediction.