Understanding the Role of the North Pacific Victoria Mode in ENSO Predictability Based on the NMME Hindcasts
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作者:
Ren, Zhengyi
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Key Lab Smart Earth, Beijing, Peoples R China
Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing, Peoples R China
Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R ChinaKey Lab Smart Earth, Beijing, Peoples R China
Ren, Zhengyi
[1
,2
,3
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Li, Zongrong
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Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing, Peoples R China
Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R ChinaKey Lab Smart Earth, Beijing, Peoples R China
Li, Zongrong
[2
,3
]
Ding, Ruiqiang
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机构:
Beijing Normal Univ, State Key Lab Earth Surface Proc & Hazards Risk Go, Beijing, Peoples R ChinaKey Lab Smart Earth, Beijing, Peoples R China
Ding, Ruiqiang
[4
]
Mao, Jiangyu
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Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing, Peoples R ChinaKey Lab Smart Earth, Beijing, Peoples R China
Mao, Jiangyu
[2
]
机构:
[1] Key Lab Smart Earth, Beijing, Peoples R China
[2] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing, Peoples R China
[3] Univ Chinese Acad Sci, Coll Earth Sci, Beijing, Peoples R China
[4] Beijing Normal Univ, State Key Lab Earth Surface Proc & Hazards Risk Go, Beijing, Peoples R China
The North Pacific Victoria mode (VM) is considered a precursor signal of El Ni & ntilde;o-Southern Oscillation (ENSO) events. Understanding the role of the VM in ENSO predictability is essential for improving ENSO prediction. Utilizing the North American Multimodel Ensemble hindcasts, this study demonstrates that the VM can increase the potential predictability (measured by the signal-to-noise ratio) of ENSO in most forecast models. The well simulated VM-ENSO relationship in these models contributes to the greater potential predictability of ENSO during the VM years. Our results show that accurately capturing the VM-ENSO relationship is highly beneficial for improving ENSO prediction skill within forecast models.
机构:
Chinese Acad Meteorol Sci, Nanjing Innovat Inst Atmospher Sci, Jiangsu Meteorol Serv, Nanjing, Peoples R China
Jiangsu Key Lab Severe Storm Disaster Risk, Nanjing, Peoples R ChinaChinese Acad Meteorol Sci, Nanjing Innovat Inst Atmospher Sci, Jiangsu Meteorol Serv, Nanjing, Peoples R China
Dai, Yifei
Wang, Bin
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机构:
Univ Hawaii Manoa, Dept Atmospher Sci, Honolulu, HI 96822 USA
Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USAChinese Acad Meteorol Sci, Nanjing Innovat Inst Atmospher Sci, Jiangsu Meteorol Serv, Nanjing, Peoples R China
Wang, Bin
Wei, Na
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Chinese Acad Meteorol Sci, Nanjing Innovat Inst Atmospher Sci, Jiangsu Meteorol Serv, Nanjing, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, Nanjing Innovat Inst Atmospher Sci, Jiangsu Meteorol Serv, Nanjing, Peoples R China
Wei, Na
Song, Jinjie
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Chinese Acad Meteorol Sci, Nanjing Innovat Inst Atmospher Sci, Jiangsu Meteorol Serv, Nanjing, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, Nanjing Innovat Inst Atmospher Sci, Jiangsu Meteorol Serv, Nanjing, Peoples R China
Song, Jinjie
Duan, Yihong
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Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaChinese Acad Meteorol Sci, Nanjing Innovat Inst Atmospher Sci, Jiangsu Meteorol Serv, Nanjing, Peoples R China
机构:
Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, JapanJapan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, Japan
Kouketsu, Shinya
Tomita, Hiroyuki
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Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, JapanJapan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, Japan
Tomita, Hiroyuki
Oka, Eitarou
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Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba, JapanJapan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, Japan
Oka, Eitarou
Hosoda, Shigeki
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Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, JapanJapan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, Japan
Hosoda, Shigeki
Kobayashi, Taiyo
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Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, JapanJapan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, Japan
Kobayashi, Taiyo
Sato, Kanako
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Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, JapanJapan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Yokosuka, Kanagawa 2370061, Japan