http://www.cnr.it/ontology/cnr/individuo/prodotto/ID139204

On the predictability of flow-regime properties on interannual to interdecadal timescales (Contributo in volume (capitolo o saggio))

Type

Contributo in volume (capitolo o saggio) (Classe)
Prodotto della ricerca (Classe)

Label

On the predictability of flow-regime properties on interannual to interdecadal timescales (Contributo in volume (capitolo o saggio)) (literal)

Anno

2006-01-01T00:00:00+01:00 (literal)

Alternative label

F. Molteni; F. Kucharski; S. Corti (2006)
On the predictability of flow-regime properties on interannual to interdecadal timescales
Cambridge University Press, Cambridge (Regno Unito) in Predictability of Weather and Climate, 2006
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

F. Molteni; F. Kucharski; S. Corti (literal)

Pagina inizio

365 (literal)

Pagina fine

390 (literal)

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This well-balanced volume will be a valuable resource for many years. High-calibre chapter authors and extensive subject coverage make it valuable to people with an interest in weather and climate forecasting and environmental science, from graduate students to researchers. Provides a comprehensive overview covering the complete range of timescales, from days to decades, all within one book Brings together expertise from leading scientists in the field, guaranteeing state of the art knowledge Covers a diverse range of topics, both theoretical and applied, in a logical order (literal)

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Cambridge (literal)

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http://www.cambridge.org/gb/knowledge/isbn/item1172615/?site_locale=en_GB (literal)

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Predictability of Weather and Climate (literal)

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702 (literal)

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The topic of predictability in weather and climate has advanced significantly in recent years, both in understanding the phenomena that affect weather and climate and in techniques used to model and forecast them. This book brings together some of the world's leading experts on predicting weather and climate. It addresses predictability from the theoretical to the practical, on timescales from days to decades. Topics such as the predictability of weather phenomena, coupled ocean-atmosphere systems and anthropogenic climate change are among those included. Ensemble systems for forecasting predictability are discussed extensively. Ed Lorenz, father of chaos theory, makes a contribution to theoretical analysis with a previously unpublished paper. (literal)

Note

Google Scholar (literal)

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F Molteni : Abdum Salam International Centre for THeoretical Physics, Trieste F Kucharski: Abdum Salam International Centre for THeoretical Physics, Trieste (literal)

Titolo

On the predictability of flow-regime properties on interannual to interdecadal timescales (literal)

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Predictability of Weather and Climate (literal)

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9780521848824 (literal)

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Tim Palmer, Renate Hagedorn (literal)

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Tim Palmer, Renate Hagedorn (literal)

Abstract

Atmospheric flow regimes are usually defined as large-scale circulation patterns associated with statistical equilibria in phase space, in which the dynamical tendencies of the large-scale flow are balanced by tendencies due to non-linear interactions of high-frequency transients. The existence of states with such properties can be verified in a rigorous way in numerical simulations with simplified numerical models (as in the pioneering study of Reinhold and Pierrehumbert (1982), or in the experiments by Vautard and Legras (1988)). On the other hand, the existence of flow regimes in the real atmosphere has been strongly debated. The detection of regimes in the observational record of upper-air field is indeed a complex task, which has been approached by a number of research groups with a variety of sophisticated statistical methods (see Section 3). If regimes statistics are dependent on boundary conditions and other forcing parameters, the consequent inhomogeneity of the observed record makes the detection of atmospheric flow regimes more difficult. On the other hand, if we were able to determine the statistical properties of regimes as a function of the forcing anomalies, this would imply some degree of predictability of the atmospheric conditions on interannual to interdecadal timescales, which we can refer to as regime predictability. Given the limited size of the observed record, it is difficult to find statistically significant results on such an issue from observed data. In order to understand the dynamical meaning of interdecadal differences in regime distributions such as those shown by Corti et al. (1999), one has to resort to ensemble simulations made with general circulation models (GCMs), in which multiple realizations of the atmospheric flow for the same boundary (or GHG) forcing can be obtained. Is regime predictability a sound concept? Is it feasible to obtain reliable information about the structure and frequency of regimes from observations and GCM simulations? Is the level of significance of these results acceptable? In this paper, we will argue for positive answers to these questions, focussing on two specific issues. Firstly, we will address the issue of the statistical significance of regime estimates from the current upper-air observational record. Secondly, we will demonstrate the feasibility of regime predictions as a function of SST conditions, investigating the effects of ENSO on extratropical regime statistics in ensembles of GCM simulations, and their impact on the predictability of inter-decadal variations of the wintertime Northern-Hemisphere circulation (literal)

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