Global climate network evolves with North Atlantic Oscillation phases: Coupling to Southern Pacific Ocean
Reads0
Chats0
TLDR
In this paper, the authors construct a network from climate records of the atmospheric temperature at the surface level, at different geographical sites in the globe, using reanalysis data from years 1948-2010.Abstract:
We construct a network from climate records of the atmospheric temperature at the surface level, at different geographical sites in the globe, using reanalysis data from years 1948–2010. We find that the network correlates with the North Atlantic Oscillation (NAO), both locally in the North Atlantic, and through coupling to the Southern Pacific Ocean. The existence of tele-connection links between those areas and their stability over time allows us to suggest a possible physical explanation for this phenomenon.read more
Citations
More filters
Journal ArticleDOI
Network analysis reveals strongly localized impacts of El Niño
TL;DR: It is found that regions that are characterized by higher positive/negative network “in”-weighted links are exhibiting stronger correlations with the El Niño basin and are warmer/cooler during El Niño/La Niña periods.
Journal ArticleDOI
Statistical physics approaches to the complex Earth system.
Jingfang Fan,Jingfang Fan,Jun Meng,Jun Meng,Josef Ludescher,Xiaosong Chen,Yosef Ashkenazy,Jürgen Kurths,Jürgen Kurths,Shlomo Havlin,Hans Joachim Schellnhuber,Hans Joachim Schellnhuber +11 more
TL;DR: A comprehensive review on the recent scientific progress in the development and application of how combined statistical physics and complex systems science approaches such as critical phenomena, network theory, percolation, tipping points analysis, and entropy can be applied to complex Earth systems.
Journal ArticleDOI
Percolation framework to describe El Niño conditions.
TL;DR: It is found that abrupt transitions of the order parameter usually occur ∼1 year before El Niño events, suggesting that they can be used as early warning precursors of El Niño.
Journal ArticleDOI
Influence of autocorrelation on the topology of the climate network.
TL;DR: It is found that one of the major influences on the structure of climate networks is due to the autocorrelation in the records, which may introduce spurious links.
Journal ArticleDOI
Review: visual analytics of climate networks
Thomas Nocke,Stefan Buschmann,Jonathan F. Donges,Jonathan F. Donges,Norbert Marwan,Hans-Jörg Schulz,Christian Tominski +6 more
TL;DR: The paper provides a problem analysis relating the multiple visualisation challenges to a survey undertaken with network analysts from the research fields of climate and complex systems science, and introduces the visual network analytics tools CGV and GTX, providing tailored solutions for climate network analysis.
References
More filters
Journal ArticleDOI
The NCEP/NCAR 40-Year Reanalysis Project
Eugenia Kalnay,Masao Kanamitsu,Robert Kistler,William D. Collins,D.G. Deaven,L. S. Gandin,M. Iredell,Suranjana Saha,Glenn H. White,John S. Woollen,Yuejian Zhu,Muthuvel Chelliah,Wesley Ebisuzaki,Wayne Higgins,John E. Janowiak,Kingtse C. Mo,Chester F. Ropelewski,Julian X. L. Wang,Ants Leetmaa,Richard W. Reynolds,Roy L. Jenne,Dennis Joseph +21 more
TL;DR: The NCEP/NCAR 40-yr reanalysis uses a frozen state-of-the-art global data assimilation system and a database as complete as possible, except that the horizontal resolution is T62 (about 210 km) as discussed by the authors.
Book
Numerical Recipes in FORTRAN
TL;DR: The Diskette v 2.04, 3.5'' (720k) for IBM PC, PS/2 and compatibles [DOS] Reference Record created on 2004-09-07, modified on 2016-08-08.
Journal ArticleDOI
The ERA‐40 re‐analysis
S. Uppala,Per Kållberg,Adrian Simmons,U. Andrae,V. da Costa Bechtold,M. Fiorino,J. K. Gibson,J. Haseler,A. Hernandez,Graeme Kelly,Xiaoming Li,Kazutoshi Onogi,Sami Saarinen,N. Sokka,Richard P. Allan,Richard P. Allan,Erik Andersson,Klaus Arpe,Magdalena Balmaseda,Anton Beljaars,L. van de Berg,Jean Bidlot,Niels Bormann,S. Caires,Frédéric Chevallier,A. Dethof,M. Dragosavac,Michael Fisher,Manuel Fuentes,Stefan Hagemann,Elías Hólm,Brian J. Hoskins,Lars Isaksen,Peter A. E. M. Janssen,Roy L. Jenne,A. P. McNally,Jean-François Mahfouf,Jean-Jacques Morcrette,Nick Rayner,Roger Saunders,P. Simon,Andreas Sterl,Kevin E. Trenberth,A. Untch,Drasko Vasiljevic,Pedro Viterbo,John S. Woollen +46 more
TL;DR: ERA-40 is a re-analysis of meteorological observations from September 1957 to August 2002 produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) in collaboration with many institutions as mentioned in this paper.
Journal ArticleDOI
Complex networks in climate dynamics. Comparing linear and nonlinear network construction methods
TL;DR: The global scale view on climate networks obtained using mutual information offers promising new perspectives for detecting network structures based on nonlinear physical processes in the climate system.
Journal ArticleDOI
The backbone of the climate network
TL;DR: This work proposes a method to reconstruct and analyze a complex network from data generated by a spatio-temporal dynamical system, relying on the nonlinear mutual information of time series analysis and betweenness centrality of the complex network theory, and reveals a rich internal structure in complex climate networks constructed from reanalysis and model surface air temperature data.