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Distinguishing the effects of internal and forced atmospheric variability in climate networks
Deza, Juan Ignacio; Masoller Alonso, Cristina; Barreiro, Marcelo
Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear; Universitat Politècnica de Catalunya. DONLL - Dinàmica no lineal, òptica no lineal i làsers
The fact that the climate on the earth is a highly complex dynamical system is well-known. In the last few decades great deal of effort has been focused on understanding how climate phenomena in one geographical region affects the climate of other regions. Complex networks are a powerful framework for identifying climate interdependencies. To further exploit the knowledge of the links uncovered via the network analysis (for, e.g., improvements in prediction), a good understanding of the physical mechanisms underlying these links is required. Here we focus on understanding the role of atmospheric variability, and construct climate networks representing internal and forced variability using the output of an ensemble of AGCM runs. A main strength of our work is that we construct the networks using MIOP (mutual information computed from ordinal patterns), which allows the separation of intraseasonal, intra-annual and interannual timescales. This gives further insight to the analysis of climatological data. The connectivity of these networks allows us to assess the influence of two main indices, NINO3.4-one of the indices used to describe ENSO (El Niño-Southern oscillation)-and of the North Atlantic Oscillation (NAO), by calculating the networks from time series where these indices were linearly removed. A main result of our analysis is that the connectivity of the forced variability network is heavily affected by
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
Climatic changes
Annual variation
Atmospheric dynamics
Climate forcing
Climate prediction
Climate variation
El Nino-Southern Oscillation
Ensemble forecasting
Network analysis
North Atlantic Oscillation
Sea surface temperature
Seasonal variation
Teleconnection
Timescale
Canvis climàtics
Climatologia
Analisi de xarxes (Planificació)
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
Article
University of Thechnology and Agriculture Nicholas Copernicus University
         

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