Dynamics Of Seasonal Patterns In Geochemical, Isotopic, And Meteorological Records Of The Elbrus Region Derived From Functional Data Clustering

Chernyakov, G.A.; Vitelli, V.; Alexandrin, M.Y.; Grachev, A.M.; Mikhalenko, V.N.; Kozachek, A.V.; Solomina, O.N.; Matskovsky, V.V.

Авторы: Chernyakov Gleb A., Vitelli Valeria, Alexandrin Mikhail Y., Grachev Alexei M., Mikhalenko Vladimir N., Kozachek Anna V., Solomina Olga N., Matskovsky V.V.
Журнал: Geography, Environment, Sustainability
Том: 13
Номер: 3
Год издания: 2020
Издательство: Издательство Русского географического общества
Местоположение издательства: Москва
Первая страница: 110
Последняя страница: 116
DOI: 10.24057/2071-9388-2019-180
Аннотация: A nonparametric clustering method, the Bagging Voronoi K-Medoid Alignment algorithm, which simultaneouslyclusters and aligns spatially/temporally dependent curves, is applied to study various data series from the Elbrus region(Central Caucasus). We used the algorithm to cluster annual curves obtained by smoothing of the following synchronousdata series: titanium concentrations in varved (annually laminated) bottom sediments of proglacial Lake Donguz-Orun; anoxygen-18 isotope record in an ice core from Mt. Elbrus; temperature and precipitation observations with a monthly resolutionfrom Teberda and Terskol meteorological stations. The data of different types were clustered independently. Due to restrictionsconcerned with the availability of meteorological data, we have fulfilled the clustering procedure separately for two periods:1926–2010 and 1951–2010. The study is aimed to determine whether the instrumental period could be reasonably divided(clustered) into several sub-periods using different climate and proxy time series; to examine the interpretability of theresulting borders of the clusters (resulting time periods); to study typical patterns of intra-annual variations of the data series.The results of clustering suggest that the precipitation and to a lesser degree titanium decadal-scale data may be reasonablygrouped, while the temperature and oxygen-18 series are too short to form meaningful clusters; the intercluster boundariesshow a notable degree of coherence between temperature and oxygen-18 data, and less between titanium and oxygen-18 aswell as for precipitation series; the annual curves for titanium and partially precipitation data reveal much more pronouncedintercluster variability than the annual patterns of temperature and oxygen-18 data.
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Dynamics Of Seasonal Patterns In Geochemical, Isotopic, And Meteorological Records Of The Elbrus Region Derived From Functional Data Clusteringстатья Исследовательская статья

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