http://www.cnr.it/ontology/cnr/individuo/prodotto/ID233550
Singular vectors and the predictability of weather and climate (Articolo in rivista)
- Type
- Label
- Singular vectors and the predictability of weather and climate (Articolo in rivista) (literal)
- Anno
- 1994-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1098/rsta.1994.0105 (literal)
- Alternative label
T. N. Palmer,
R. Buizza,
F. Molteni,
Y.-Q. Chen
S. Corti (1994)
Singular vectors and the predictability of weather and climate
in Philosophical Transactions of the Royal Society of London, Series A: Mathematical and Physical Sciences
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- T. N. Palmer,
R. Buizza,
F. Molteni,
Y.-Q. Chen
S. Corti (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://rsta.royalsocietypublishing.org/content/348/1688/459.short (literal)
- 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
- EUROPEAN CTR MEDIUM RANGE WEATHER FORECASTS, SHINFIELD PK, READING RG2 9AX, BERKS, ENGLAND.
UNIV WASHINGTON, JOINT INST STUDY ATMOSPHERE & OCEANS, DEPT ATMOSPHER SCI, SEATTLE, WA 98195 USA
UNIV BOLOGNA, DEPT PHYS, I-40126 BOLOGNA, ITALY (literal)
- Titolo
- Singular vectors and the predictability of weather and climate (literal)
- Abstract
- The local instability properties of a chaotic system are determined by the singular vectors and singular values of the dynamical evolution operator, linearized about a finite trajectory portion of the integral curves of the nonlinear equations. Knowledge of these quantities allows an assessment of the reliability of a finite-time forecast from a chaotic system. After a brief study of the Lorenz model, singular vector analysis is applied to study three predictability issues in atmosphere-ocean dynamics. The first concerns the predictability of weather forecasts of a few days, and singular vector calculations are made from a large-dimensional numerical weather prediction model using an interative Lanczos algorithm. The second concerns the predictability of El Nino on seasonal to interannual timescales. Here singular vector calculations are made using a coupled ocean-atmosphere model of the tropical Pacific region. Finally we show results from a multi-decadal integration of a medium-resolution quasi-geostrophic model, and discuss the possible relevance of singular vector analysis for the problem of climate change. (literal)
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