Influence of the Antarctic Oscillation, the Pacific–South American modes and the El Niño–Southern Oscillation on the Antarctic surface temperature and pressure variations

Yu, Lejiang; Zhang, Zhanhai; Zhou, Mingyu; Zhong, Sharon; Lenschow, Donald H.; Hsu, Hsiao-Ming; Wu, Huiding; Sun, Bо

doi:10.1017/s095410201100054x

Cited by 14 publications

(16 citation statements)

References 35 publications

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“…A estação Casey é significante em nível de 5% (-0,55), as outras estações são significantes a 1% durante o verão, Davis, Mawson e Mirny apresentam as mais altas correlações negativas com a OA, -0,76, -0,80 e -0,69 respectivamente. Yu et al (2011) e Marshall (2007 também encontraram resultados semelhantes com tendência forte de resfriamento para as estações de Mawson, Mirny, Casey e Amundsen Scott.…”

Section: Verãounclassified

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A influência dos modos de variabilidade climática na temperatura em superfície na Antártica

Lindemann

Justino

2015

Rev. bras. meteorol.

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RESUMOEste trabalho analisa a variação sazonal da temperatura do ar à superfície (T ar ) na Antártica, e sua relação com os modos de variabilidade climática El Niño-Oscilação Sul (ENOS) e Oscilação Antártica (OA). Os resultados indicam que para os 4 períodos sazonais as T ar nas estações localizadas no setor oriental da Antártica apresentaram significativas correlações negativas (nível de significância de 1% na maioria das estações) com a OA. Todavia o único período sazonal, em que o setor continental (Amundsen-Scott, Dome C) apresentou forte correlação negativa com a OA, foi durante o inverno (significativa a 1%). Correlações positivas foram encontradas (significâncias entre 1% e 5%) entre as T ar da Península Antártica e Shetland do Sul com a OA para os períodos de outono, inverno e primavera. Os resultados demonstram a influência que a OA exerce sobre a climatologia da T ar na Antártica. É importante notar um dipolo entre as regiões oriental da Antártica e da Península Antártica, no que concerne as influências da OA. O modo de variabilidade ENOS apresentou correlação negativa significativa com as três estações da Península Antártica somente durante a primavera, enquanto que para a estação Rothera, à oeste da Península, a correlação foi significativa também para o outono e inverno. A correlação entre ENOS e T ar foi positiva e significativa no setor do Mar de Ross durante a primavera, e com o setor oriental da Antártica durante o verão, com nível de significância chegando a 5%. Palavras Chave: Antártica; temperatura; modos de variabilidade. ABSTRACT: THE INFLUENCE OF THE MODES OF CLIMATE VARIABILITY IN ANTARCTIC SURFACE TEMPERATUREThis study analyzes the seasonal variation in surface air temperature (T ar ) in Antarctica, and its relationship with the modes of climate variability, namely El Niño-Southern Oscillation (ENSO) and Antarctic Oscillation (AO). The results indicate that during the 4 seasonal periods the T ar in the stations located in the eastern sector of Antarctica showed significant negative correlations (at 1% significance level on most stations) with AO. However, the only seasonal period in which the continental sector (Amundsen-Scott, Dome C), showed strong negative correlation with the AO was in winter (at 1%). Positive correlations were found (ranging from 1% to 5%) between the Tar values at the Antarctic Peninsula and South Shetland with AO for autumn, winter and spring. These results demonstrate the influence that AO exerts on the climatology of the Tar in Antarctica. It is important to note a dipole between eastern regions of Antarctica and the Antarctic Peninsula concerning the influences of AO. The ENSO mode presented significant negative correlation with the three stations at the Antarctic Peninsula only during the spring, while for the station Rothera, at the West sector the correlation was also significant for the autumn and winter. The correlation between ENSO and Tar was positive and significant in the Ross Sea sector during the spring, and with the eastern sector of Antarctica duri...

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“…A região da Antártica é um componente ativo no sistema climático global, que é influenciado pelos modos de variabilidade climáticos globais, regionais e locais (Yuan, 2004;Yu et al, 2011). O sistema climático global é afetado por vários modos internos de variabilidade que são caracterizados pela diferença dos padrões temporais e espaciais.…”

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A influência dos modos de variabilidade climática na temperatura em superfície na Antártica

Lindemann

Justino

2015

Rev. bras. meteorol.

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“…In the positive phase of AAO, there is a belt of positive anomalies in the southern The AO and AAO have profound influences on environmental variables in high latitude regions. For example, Yu et al (2012) used both surface observational data and global models to show that among several climate indices including the AAO, the Pacific-South American teleconnection and ENSO, the most important contribution to the trends of Antarctic sea level pressure and surface temperature comes from AAO. Numerous studies showed that AO and AAO also have far-reaching influences beyond polar regions.…”

Section: Correlations With Aa and Aao Indicesmentioning

confidence: 99%

HIRS channel 12 brightness temperature dataset and its correlations with major climate indices

2013

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A new version of the High-Resolution Infrared Radiation Sounder (HIRS) upper tropospheric water vapor channel (channel 12) brightness temperature dataset is developed using intersatellite calibrated data. In this dataset, only those pixels affected by upper tropospheric clouds are discarded. Compared to the previous version that was based on column-clear-sky data, the new version has much better daily spatial coverage. The HIRS observation patterns are compared to microwave sounder measurements. The differences between the two types of sounders vary with respect to brightness temperature with larger differences for higher (dry) values. Correlations between the HIRS upper tropospheric water vapor channel brightness temperatures and several major climate indices show strong signals during cold seasons. The selected climate indices track climate variation signals covering regions from the tropics to the poles. Qualitatively, moist signals are correlated with troughs and ascending branches of the circulation, while dry signals occur with ridges and descent. These correlations show the potential of using the upper tropospheric water vapor channel brightness temperature dataset together with a suite of many atmospheric variables to monitor regional climate changes and locate global teleconnection patterns

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“…In most cases, the products are freely available and have widespread application in many branches of meteorological and climatological research (Bromwich and Fogt, 2004;Bromwich et al, 2007;Jones and Lister, 2007;Yu et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Surface Pressure between Zhongshan and Dome a in East Antarctica from Different Meteorological Reanalyses

Xie

Allison

Xiao

et al. 2014

Arctic, Antarctic, and Alpine Research

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Influence of the Antarctic Oscillation, the Pacific–South American modes and the El Niño–Southern Oscillation on the Antarctic surface temperature and pressure variations

Cited by 14 publications

References 35 publications

A influência dos modos de variabilidade climática na temperatura em superfície na Antártica

A influência dos modos de variabilidade climática na temperatura em superfície na Antártica

HIRS channel 12 brightness temperature dataset and its correlations with major climate indices

Assessment of Surface Pressure between Zhongshan and Dome a in East Antarctica from Different Meteorological Reanalyses

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