Measuring persistence in time series of temperature anomalies (Articolo in rivista)

Type
Label
  • Measuring persistence in time series of temperature anomalies (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/s00704-013-1076-9 (literal)
Alternative label
  • Triacca U.; Pasini A.; Attanasio A. (2014)
    Measuring persistence in time series of temperature anomalies
    in Theoretical and applied climatology (Internet)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Triacca U.; Pasini A.; Attanasio A. (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 5 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84891638500&partnerID=q2rCbXpz (literal)
Rivista
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Department of Computer Engineering, Computer Science and Mathematics, University of L'Aquila, L'Aquila, Italy; CNR, Institute of Atmospheric Pollution Research, Monterotondo Stazione, Rome, Italy (literal)
Titolo
  • Measuring persistence in time series of temperature anomalies (literal)
Abstract
  • Studies on persistence are important for the clarification of statistical properties of the analyzed time series and for understanding the dynamics of the systems which create these series. In climatology, the analysis of the autocorrelation function has been the main tool to investigate the persistence of a time series. In this paper, we propose to use a more sophisticated econometric instrument. Using this tool, we obtain an estimate of the persistence in global land and ocean and hemispheric temperature time series. © 2014 Springer-Verlag Wien. (literal)
Prodotto di
Autore CNR

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