An analysis on observed and simulated PNA associated atmospheric diabatic heating

Yu, Bin; Tang, Youmin; Zhang, X. B.; Niitsoo, Ain

doi:10.1007/s00382-008-0432-4

Cited by 9 publications

(7 citation statements)

References 61 publications

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“…This is in accordance with spectral analyses performed by e.g. Yu et al (2009) and Gan et al (2007).…”

Section: Teleconnection Patterns á Temporal Behavioursupporting

confidence: 92%

“…Meanwhile the existence of an additional ENSO-forced mid-latitude pattern distinct from the PNA pattern has been proven (Straus and Shukla, 2002). Further evidence was given by the study of Yu et al (2009), revealing that the PNA-related atmospheric diabatic heating is located outside the tropics over the eastern Pacific as a collocated Rossby wave source. But the insensitivity of the PNA pattern to tropical diabatic heating does not rule out that the tropical Pacific atmospheric heating anomalies induce energy transports towards North America and thus contribute to the appearance of the stationary wave pattern of PNA for particular combination of the phases of ENSO and Pacific Decadal Oscillation .…”

Section: Evaluating Model Skillmentioning

confidence: 94%

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How well do state-of-the-art atmosphere-ocean general circulation models reproduce atmospheric teleconnection patterns?

Handorf¹,

Dethloff

2012

Tellus A: Dynamic Meteorology and Oceanography

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A B S T R A C TThis article evaluates the ability of state-of-the-art climate models to reproduce the low-frequency variability of the mid-tropospheric winter flow of the Northern Hemisphere in terms of atmospheric teleconnection patterns. Therefore, multi-model simulations for present-day conditions, performed for the 4th assessment report of the Intergovernmental Panel on Climate Change, have been analysed and compared with re-analysis data sets. The spatial patterns of atmospheric teleconnections are reproduced reasonably by most of the models. The comparison of coupled with atmosphere-only runs confirmed that a better representation of the forcing by sea surface temperatures has the potential to slightly improve the representation of only wave train-like patterns. Due to internally generated climate variability, the models are not able to reproduce the observed temporal behaviour. Insights into the dynamical reasons for the limited skill of climate models in reproducing teleconnections have been obtained by studying the relation between major teleconnections and zonal wind variability patterns. About half of the models are able to reproduce the observed relationship. For these cases, the quality of simulated teleconnection patterns is largely determined by the quality of zonal wind variability patterns. Therefore, improvements of simulated eddy-mean flow interaction have the potential to improve the atmospheric teleconnections.

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“…This is in accordance with spectral analyses performed by e.g. Yu et al (2009) and Gan et al (2007).…”

Section: Teleconnection Patterns á Temporal Behavioursupporting

confidence: 92%

Section: Evaluating Model Skillmentioning

confidence: 94%

How well do state-of-the-art atmosphere-ocean general circulation models reproduce atmospheric teleconnection patterns?

Handorf¹,

Dethloff

2012

Tellus A: Dynamic Meteorology and Oceanography

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show abstract

“…The PNA influence on regional temperature and precipitation is well established, but few studies have focused on its possible remote impacts. Using both reanalyses and coupled ocean-atmosphere simulations, Yu et al [2008] suggest that ENSO controls only 1 = 4 of the PNA variability, which in turn has apparently a limited influence on tropical diabatic heating in boreal winter. Here we demonstrate that a PNA index averaged over winter and spring shows a significant statistical relationship with the subsequent Indian summer monsoon and can be used as an efficient predictor of IMSR in a simple multiple linear regression scheme.…”

Section: Introductionmentioning

confidence: 97%

Extended winter Pacific North America oscillation as a precursor of the Indian summer monsoon rainfall

Peings

Douville

Terray

2009

Geophysical Research Letters

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[1] In spite of considerable efforts, long-range forecasting of Indian summer monsoon rainfall (ISMR) is still a challenge for both statistical and dynamical tools. We highlight the winter-to-spring Pacific North America (PNA) oscillation as a predictor for the ISMR. A PNA-related index is proposed that is highly correlated with the following summer precipitation over India and is also a precursor of El Niño-Southern Oscillation (ENSO) events over recent decades. The PNA index compares well with other predictors used in operational statistical models for ISMR prediction. A multiple linear regression scheme is tested with a cross-validation hindcast approach and confirms the added value of our predictor, at least over the period . Nevertheless, the predictor shows less skill over the first half of the 20th century. Possible physical mechanisms of this teleconnection are also briefly discussed and could involve both a tropical Pacific sea surface temperature and Eurasian snow cover pathway.

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“…На изменения ТСА сильное влияние оказывают явления Эль-Ниньо/Южное колебание Yu et al, 2009]. Развитие её положительной фазы происходит в годы развития явлений Эль-Ниньо, а отрицательной -в годы Ла-Нинья, т. е. в годы похолодания поверхностных вод в экваториальном поясе Тихого океана.…”

Section: основные ветви дальних связей в атмосфереunclassified

Teleconnections in the atmosphere and ocean as a basis of the long-range fishery forecasting

Krovnin¹,

Kotenev²,

Mordasova³

et al. 2018

Tr VNIRO

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An analysis on observed and simulated PNA associated atmospheric diabatic heating

Cited by 9 publications

References 61 publications

How well do state-of-the-art atmosphere-ocean general circulation models reproduce atmospheric teleconnection patterns?

How well do state-of-the-art atmosphere-ocean general circulation models reproduce atmospheric teleconnection patterns?

Extended winter Pacific North America oscillation as a precursor of the Indian summer monsoon rainfall

Teleconnections in the atmosphere and ocean as a basis of the long-range fishery forecasting

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