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Distinguishing the effects of internal and forced atmospheric variability in climate networks

Autor
Deza, J.Ignacio; Masoller, C.; Barreiro, M.
Tipus d'activitat
Article en revista
Revista
Nonlinear processes in geophysics
Data de publicació
2014-05-26
Volum
21
Número
3
Pàgina inicial
617
Pàgina final
631
DOI
https://doi.org/10.5194/npg-21-617-2014 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/26768 Obrir en finestra nova
URL
http://www.nonlin-processes-geophys.net/21/617/2014/npg-21-617-2014.html Obrir en finestra nova
Resum
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...
Citació
Deza, J.Ignacio; Masoller, C.; Barreiro, M. Distinguishing the effects of internal and forced atmospheric variability in climate networks. "Nonlinear processes in geophysics", 26 Maig 2014, vol. 21, núm. 3, p. 617-631.
Paraules clau
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
Grup de recerca
DONLL - Dinàmica no Lineal, Òptica no Lineal i Làsers

Participants

Arxius