V. Soldanova, M. Cisty
Thursday 11 October 2018 by Libadmin2018


In different climatic and hydrological regional studies, data from grid databases that cover the climatic data of larger areas can be used. The authors of this contribution are interested in the region of Central Europe, where they can use the publicly available CarpatClim and ECA&D databases for such needs. The first mentioned database provides better spatial detail of the data, but the data is available only to the year 2010. On the other hand, the EC&D database is continually updated (up to the present), but the spatial detail in which it provides data is lower.
This paper discusses the possibility of extending the time range of the CarpatClim climate data with help of the ECA&D database to the present. The data conversion was done using regression methods that will be described in more detail in the article. The authors also tested the usability of the Random Forest algorithm for this purpose.
The quality of such data extrapolation was evaluated by the Pearson correlation coefficient R, which for the most problematic and consequently the least correlated climatic data, i.e., precipitation, has an average value of 0.91. For the best-correlated data, i.e., temperatures, the degree of accuracy determined by R is higher than 0.95.

Keywords: CarpatClim, ECA&D, extrapolation of data, regression methods

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