Representation of European hydroclimatic patterns with self-organizing maps

被引:11
|
作者
Markonis, Yannis [1 ]
Strnad, Filip [1 ]
机构
[1] Czech Univ Life Sci Prague, Fac Environm Sci, Kamycka 129, Prague 16500, Suchdol, Czech Republic
来源
HOLOCENE | 2020年 / 30卷 / 08期
关键词
classification algorithms; drought; European climate; hydroclimatic variability; Old World Drought Atlas; self-organizing maps; ARTIFICIAL NEURAL-NETWORKS; CATCHMENT CLASSIFICATION; HOMOGENEOUS REGIONS; LAST-MILLENNIUM; PRECIPITATION; VARIABILITY; TEMPERATURE; RECONSTRUCTION; CIRCULATION; SOM;
D O I
10.1177/0959683620913924
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Self-organizing maps provide a powerful, non-linear technique of dimensionality reduction that can be used to identify clusters with similar attributes. Here, they were constructed from a 1000-year-long gridded palaeoclimatic dataset, namely the Old World Drought Atlas, to detect regions of homogeneous hydroclimatic variability across the European continent. A classification scheme of 10 regions was found to describe most efficiently the spatial properties of Europe's hydroclimate. These regions were mainly divided into a northern and a southern subset, linked together with a northwest-to-southeast orientation. Further analysis of the classification scheme with complex networks confirmed the divergence between the northern and southern components of European hydroclimate, also revealing that is not strongly correlated to the Iberian Peninsula. On the contrary, the region covering the British Isles, France and Germany appeared to be linked to both branches, implying links of hydroclimate with atmospheric/oceanic circulation.
引用
收藏
页码:1155 / 1162
页数:8
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