Abstract
This article focuses on the description of computational methods for the conversion of products for the purposes of calculating the statistical and nowcasting prediction of convective precipitation. Convective precipitation can reach very high intensities and cause flash floods, which can endanger human lives and health and cause material damage on a local scale. The methodological part describes computational methods designed for the conversion of input data, which are radar products CAPPI and VIL, including the combined product SUM MERGE. The resulting part is focused on the evaluation of these computational methods, where the outputs of this evaluation are applied to the conversion algorithm.
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This work was supported by the project No. VI20192022134 - System of more accurate prediction of convective precipitation over the regional territorial unit.
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Šaur, D., Švejda, J. (2021). Conversion Methods of Data Mining Analysis in Algorithms of Statistical and Nowcasting Forecast of Convective Precipitation. In: Silhavy, R. (eds) Software Engineering and Algorithms. CSOC 2021. Lecture Notes in Networks and Systems, vol 230. Springer, Cham. https://doi.org/10.1007/978-3-030-77442-4_38
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DOI: https://doi.org/10.1007/978-3-030-77442-4_38
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