Hierarchical structures in Northern Hemispheric extratropical winter ocean-atmosphere interactions

Marc Wiedermann, Jonathan F. Donges, Dörthe Handorf, Jürgen Kurths, Reik V. Donner

Research output: Contribution to journalArticle

6 Citations (Scopus)
5 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)3821-3836
Number of pages16
JournalInternational Journal of Climatology
Volume37
Issue number10
Early online date26 Dec 2016
DOIs
Publication statusPublished - Aug 2017

Fingerprint

atmosphere
winter
Northern Hemisphere
ocean
covariance analysis
climate
geopotential
temperature anomaly
stratosphere
sea surface
troposphere
sea surface temperature
timescale
statistics
analysis

Keywords

  • coupled climate networks
  • extratropical ocean–atmosphere interaction
  • node-weighted network measures
  • hierarchical networks

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

Cite this

Hierarchical structures in Northern Hemispheric extratropical winter ocean-atmosphere interactions. / Wiedermann, Marc; Donges, Jonathan F.; Handorf, Dörthe; Kurths, Jürgen; Donner, Reik V.

In: International Journal of Climatology, Vol. 37, No. 10, 08.2017, p. 3821-3836.

Research output: Contribution to journalArticle

Wiedermann, Marc ; Donges, Jonathan F. ; Handorf, Dörthe ; Kurths, Jürgen ; Donner, Reik V. / Hierarchical structures in Northern Hemispheric extratropical winter ocean-atmosphere interactions. In: International Journal of Climatology. 2017 ; Vol. 37, No. 10. pp. 3821-3836.
@article{ef2b0ccb9d1f44a99e5558b00b7cd394,
title = "Hierarchical structures in Northern Hemispheric extratropical winter ocean-atmosphere interactions",
abstract = "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.",
keywords = "coupled climate networks, extratropical ocean–atmosphere interaction, node-weighted network measures, hierarchical networks",
author = "Marc Wiedermann and Donges, {Jonathan F.} and D{\"o}rthe Handorf and J{\"u}rgen Kurths and Donner, {Reik V.}",
note = "Acknowledgements MW and RVD have been supported by the German Federal Ministry for Education and Research via the BMBF Young Investigators Group CoSy-CC2 (grant no. 01LN1306A) and the Belmont Forum/JPI Climate project GOTHAM. JFD is grateful for financial support by the Stordalen Foundation (via the Planetary Boundary Research Network PB.net) and the Earth League's EarthDoc program. JK acknowledges the IRTG 1740 funded by Deutsche Forschungsgemeinschaft and FAPESP. Coupled climate network analysis has been performed using the Python package pyunicorn (Donges et al., 2015b) that is available at https://github.com/pik-copan/pyunicorn.",
year = "2017",
month = "8",
doi = "10.1002/joc.4956",
language = "English",
volume = "37",
pages = "3821--3836",
journal = "International Journal of Climatology",
issn = "0899-8418",
publisher = "John Wiley and Sons Ltd",
number = "10",

}

TY - JOUR

T1 - Hierarchical structures in Northern Hemispheric extratropical winter ocean-atmosphere interactions

AU - Wiedermann, Marc

AU - Donges, Jonathan F.

AU - Handorf, Dörthe

AU - Kurths, Jürgen

AU - Donner, Reik V.

N1 - Acknowledgements MW and RVD have been supported by the German Federal Ministry for Education and Research via the BMBF Young Investigators Group CoSy-CC2 (grant no. 01LN1306A) and the Belmont Forum/JPI Climate project GOTHAM. JFD is grateful for financial support by the Stordalen Foundation (via the Planetary Boundary Research Network PB.net) and the Earth League's EarthDoc program. JK acknowledges the IRTG 1740 funded by Deutsche Forschungsgemeinschaft and FAPESP. Coupled climate network analysis has been performed using the Python package pyunicorn (Donges et al., 2015b) that is available at https://github.com/pik-copan/pyunicorn.

PY - 2017/8

Y1 - 2017/8

N2 - 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.

AB - 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.

KW - coupled climate networks

KW - extratropical ocean–atmosphere interaction

KW - node-weighted network measures

KW - hierarchical networks

U2 - 10.1002/joc.4956

DO - 10.1002/joc.4956

M3 - Article

VL - 37

SP - 3821

EP - 3836

JO - International Journal of Climatology

JF - International Journal of Climatology

SN - 0899-8418

IS - 10

ER -