Publication Date:
2019-07-17
Description:
In recent years extensive studies on the Earth’s climate system have been carried out by means of advanced
complex network statistics. The great majority of these studies, however, have been focusing on investigating correlation
structures within single climatic fields directly on or parallel to the Earth’s surface. Here, we develop a novel approach of
node weighted coupled network measures to study correlations between ocean and atmosphere in the Northern Hemisphere
extratropics and construct 18 coupled climate networks, each consisting of two subnetworks. In all cases, one subnetwork
represents monthly sea-surface temperature (SST) anomalies, while the other is based on the monthly geopotential height
(HGT) of isobaric surfaces at different pressure levels covering the troposphere as well as the lower stratosphere. The
weighted cross-degree density proves to be consistent with the leading coupled pattern obtained from maximum covariance
analysis. Network measures of higher order allow for a further analysis of the correlation structure between the two fields and
consistently indicate that in the Northern Hemisphere extratropics the ocean is correlated with the atmosphere in a hierarchical
fashion such that large areas of the ocean surface correlate with multiple statistically dissimilar regions in the atmosphere.
Ultimately we show that this observed hierarchy is linked to large-scale atmospheric variability patterns, such as the Pacific
North American pattern, forcing the ocean on monthly time scales.
Repository Name:
EPIC Alfred Wegener Institut
Type:
Article
,
isiRev
Format:
application/pdf
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