Two types of El Nino and extratropical sea-level pressure variations
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作者:
Song, Wanjiao
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
Song, Wanjiao
[1
,2
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Dong, Qing
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
Dong, Qing
[1
]
Xue, Cunjin
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
Xue, Cunjin
[1
]
Sha, Jin
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Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R ChinaChinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
Sha, Jin
[1
]
机构:
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China
[2] China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing, Peoples R China
This study applies the nonlinear canonical correlation analysis (NLCCA) to explore the nonlinear relationship between the sea-level pressure (SLP) anomalies over the extratropical North Pacific and sea surface temperature (SST) anomalies in the tropical Pacific during 1985-2009. Our results suggest that the asymmetry between the warm eastern Pacific (EP) El Nino-Aleutian Low mode and the cool EP La Nina-antiphase of the Aleutian Low mode is exhibited in the first NLCCA mode. Nonlinearity of the first NLCCA SST field is enhanced after 1998, and vice versa for the SLP field. The second NLCCA SSTmode reveals weak nonlinearity representing the nonlinear central tropical Pacific (CP) El Nino-CP La Nina modes, while the second SLP field depicts the North Pacific Oscillation and anti-phase with the Aleutian Low phases. The nonlinearity of the second SST and SLP NLCCA modes is found to decrease gradually with time. During 1985-1997, the SST field exhibits linearity, while the SLP field shows weak nonlinearity. During 1997-2009, the SST and SLP fields both display weak linearity. Nonlinearity between the extratropical SLP and SST fields is further weakened from the first period. The Aleutian Low pattern could be excited by both EP and CP El Ninos. Moreover, the CP El Ninos have more connections with the North Pacific Oscillation state rather than the EP El Ninos. Conclusively, this study reveals the asymmetric-modes between the SLP and SST by the nonlinear method, and contributes to the understanding of the extratropical SLP variability response to two types El Nino events.
机构:
Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China
Fu Jian-Jian
Zhang Ming-Hong
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Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China
Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China
Zhang Ming-Hong
Han Zhe
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Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China
Han Zhe
Li Shuanglin
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Chinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, Nansen Zhu Int Res Ctr, Beijing 100029, Peoples R China
机构:
Russian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia
St Petersburg State Univ, Atmospher Phys Dept, St Petersburg 198504, RussiaRussian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia
Ermakova, Tatiana S.
Koval, Andrey V.
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Russian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia
St Petersburg State Univ, Atmospher Phys Dept, St Petersburg 198504, RussiaRussian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia
Koval, Andrey V.
Smyshlyaev, Sergei P.
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Russian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia
St Petersburg State Univ, Atmospher Phys Dept, St Petersburg 198504, RussiaRussian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia
Smyshlyaev, Sergei P.
Didenko, Ksenia A.
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Russian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia
St Petersburg State Univ, Atmospher Phys Dept, St Petersburg 198504, RussiaRussian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia
Didenko, Ksenia A.
Aniskina, Olga G.
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Russian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, RussiaRussian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia
Aniskina, Olga G.
Savenkova, Elena N.
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Russian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, RussiaRussian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia
Savenkova, Elena N.
Vinokurova, Ekaterina V.
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Russian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, RussiaRussian State Hydrometeorol Univ, Meteorol Forecasting Dept, St Petersburg 192007, Russia