Chaotic dynamics, Markov processes and climate predictability

dc.contributor.author	Nicolis, C.
dc.date	1990
dc.date.accessioned	2017-06-07T13:46:12Z
dc.date.available	2017-06-07T13:46:12Z
dc.identifier.uri	https://orfeo.belnet.be/handle/internal/5722
dc.description	A systematic method for mapping deterministic chaos in general, and atmospheric and climate dynamics in particular, into a Markovian process is developed. The possibility of using the Markovian description for carrying out long-term statistical predictions is suggested, and illustrated on simple models and on data pertaining to sea surface temperature anomalies which can be reduced to one-dimensional maps.
dc.language	eng
dc.title	Chaotic dynamics, Markov processes and climate predictability
dc.type	Article
dc.subject.frascati	Physical sciences
dc.audience	Scientific
dc.subject.free	chaotic dynamics; climate predictability; Markov process; sea surface temperature
dc.source.title	Tellus A
dc.source.volume	42
dc.source.issue	4
dc.source.page	401-412
Orfeo.peerreviewed	Yes
dc.identifier.doi	10.1034/j.1600-0870.1990.t01-2-00001.x
dc.identifier.scopus	2-s2.0-0025630982