| Autor: |
MAGYARI-SÁSKA, Zsolt, DOMBAY, Ștefan |
| Předmět: |
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| Zdroj: |
Air & Water Components of the Environment / Aerul si Apa Componente ale Mediului; 2022, p116-127, 12p |
| Abstrakt: |
This research wants to investigate the possibility to highlight and track the looseness or compactness of climate change using a network model based on long-term weather changes for five major cities in Hungary, for which an important daily scale dataset is available starting from 1901 to 2020. Climate study based on network models is a novel approach, it does not have a well-developed research, methodological and literature background. Even if several network models can be developed, in that used in the present study the edges of a network connect the same periods of different years based on the greatest aggregate weather similarity. One of the results of this research was actually the development of the model itself using functions developed in the R CRAN system. In this case of large-scale data processing, it was very important to use programming methods that could do all this in a time-efficient manner. Using three different study intervals there were results that converged, but there were also results for which in the larger study period disappeared or equalized the results obtained for the shorter periods. The most pronounced looseness occurs in in the late autumn and winter months and in early spring periods. In addition to all these main trends, high looseness values can be observed for some settlements in the summer as well as in the late spring or early autumn periods, while summer typically appears as a more compact period. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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