http://www.cnr.it/ontology/cnr/individuo/prodotto/ID45172
Characterizing memory in atmospheric time series. An alternative approach based on renewal theory (Articolo in rivista)
- Type
- Label
- Characterizing memory in atmospheric time series. An alternative approach based on renewal theory (Articolo in rivista) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Alternative label
Paradisi P., Cesari R., Contini D., Donateo A., Palatella L. (2009)
Characterizing memory in atmospheric time series. An alternative approach based on renewal theory
in The European physical journal. Special topics
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Paradisi P., Cesari R., Contini D., Donateo A., Palatella L. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Titolo
- Characterizing memory in atmospheric time series. An alternative approach based on renewal theory (literal)
- Abstract
- Atmospheric dynamics originates persistent and/or intermittent structures
spanning over several spatial and temporal scales. The dynamical instabilities
trigger abrupt transitions between these meteorological structures. An approach
based on the theory of renewal processes is proposed to describe these critical
transition events. An alternative statistical analysis to qualitatively estimate
the memory content of atmospheric time series is reviewed and an application to
turbulence data in the Atmospheric Boundary Layer is illustrated. The connection
between the proposed analysis and the assumption of a local flux-gradient
relationship is also discussed. (literal)
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