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Toward a phase-space cartography of the short- and medium-range predictability of weather regimes

dc.contributor.authorVannitsem, S.
dc.coverage.temporal21st century
dc.date2001
dc.date.accessioned2016-03-07T17:14:19Z
dc.date.accessioned2021-12-09T09:53:16Z
dc.date.available2016-03-07T17:14:19Z
dc.date.available2021-12-09T09:53:16Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/8602
dc.descriptionWe compare the short- and medium-range predictability of weather regimes of a quasigeostrophic model as defined by a hierarchical cluster algorithm and a Lyapunov-based clustering method recently introduced in the literature. Both procedures lead to weather regimes displaying very different predictability properties on the short and medium range bases. While the former does not distinguish between stable and unstable weather regimes, the latter leads to clusters which do not display a good medium range predictability. We introduce a new clustering method taking advantages of the two previous techniques. Its application in the context of the quasi-geostrophic model gives rise to regimes possessing at the same time a good medium range skill and well separated instability properties, indicating the possibility to build a systematic cartography of the short-term predictability of weather fields in phase space.
dc.languageeng
dc.publisherIRM
dc.publisherKMI
dc.publisherRMI
dc.titleToward a phase-space cartography of the short- and medium-range predictability of weather regimes
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceGeneral Public
dc.audienceScientific
dc.subject.freecartography
dc.subject.freepredictability
dc.subject.freeweather
dc.source.issue0
Orfeo.peerreviewedNot pertinent


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