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Title: EXTRAPOLATION OF CARPATCLIM DATA FOR ENGINEERING PURPOSES
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EXTRAPOLATION OF CARPATCLIM DATA FOR ENGINEERING PURPOSES
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1314-2704
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English
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18
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3.1
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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. |
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conference
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18th International Multidisciplinary Scientific GeoConference SGEM 2018
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18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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305-312
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02-08 July, 2018
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website
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cdrom
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875
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CarpatClim; ECA&D; extrapolation of data; regression methods
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