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Identifying large-scale patterns of unpredictability and response to insolation in atmospheric data

Autor
Arizmendi, F.; Barreiro Parrillo, Marcelo; Masoller, C.
Tipus d'activitat
Article en revista
Revista
Scientific reports
Data de publicació
2017-03-30
Volum
7
Pàgina inicial
45676-1
Pàgina final
45676-8
DOI
https://doi.org/10.1038/srep45676 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/104370 Obrir en finestra nova
URL
https://www.nature.com/articles/srep45676 Obrir en finestra nova
Resum
Understanding the complex dynamics of the atmosphere is of paramount interest due to its impact in the entire climate system and in human society. Here we focus on identifying, from data, the geographical regions which have similar atmospheric properties. We study surface air temperature (SAT) time series with monthly resolution, recorded at a regular grid covering the Earth surface. We consider two datasets: NCEP CDAS1 and ERA Interim reanalysis. We show that two surprisingly simple measures ar...
Citació
Arizmendi, F., Barreiro, M., Masoller, C. Identifying large-scale patterns of unpredictability and response to insolation in atmospheric data. "Scientific reports", 30 Març 2017, vol. 7, p. 45676-1-45676-8.
Paraules clau
Nonlinear phenomena, Statistical physics
Grup de recerca
DONLL - Dinàmica no Lineal, Òptica no Lineal i Làsers

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