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
  • 348 (literal)
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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