The El Nino-Southern Oscillation (ENSO) influences climate variability across the globe. ENSO is highly predictable on seasonal timescales and therefore its teleconnections are a source of extratropical forecast skill. To fully harness this predictability, teleconnections must be represented accurately in seasonal forecasts. We find that a multimodel ensemble from five seasonal forecast systems can successfully capture the spatial structure of the late winter (JFM) El Nino teleconnection to the North Atlantic via North America, but the simulated amplitude is half of that observed. We find that weak amplitude teleconnections exist in all five models throughout the troposphere, and that the La Nina teleconnection is also weak. We find evidence that tropical forcing of the El Nino teleconnection is not underestimated and instead, deficiencies are likely to emerge in the extratropics. We investigate the impact of underestimated teleconnection strength on North Atlantic winter predictability, including its relevance to the signal-to-noise paradox.
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Univ New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia
Univ New S Wales, Climate Change Res Ctr, Sydney, NSW 2052, AustraliaUniv New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia
Santoso, Agus
Cai, Wenju
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CSIRO Marine & Atmospher Res, Aspendale, Vic, AustraliaUniv New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia
Cai, Wenju
Collins, Mat
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Univ Exeter, Coll Engn Math & Phys Sci, Exeter, Devon, EnglandUniv New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia
Collins, Mat
McPhaden, Mike
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NOAA, Pacific Marine Environm Lab, Seattle, WA 98115 USAUniv New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia
McPhaden, Mike
Jin, Fei-Fei
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Univ Hawaii Manoa, Sch Ocean & Earth Sci & Technol, Dept Meteorol, Honolulu, HI USAUniv New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia
Jin, Fei-Fei
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Guilyardi, Eric
Vecchi, Gabriel
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NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USAUniv New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia
Vecchi, Gabriel
Dommenget, Dietmar
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Monash Univ, ARC Ctr Excellence Climate Syst Sci, Clayton, Vic, Australia
Monash Univ, Sch Earth Atmosphere & Environm, Clayton, Vic, AustraliaUniv New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia
Dommenget, Dietmar
Wang, Guojian
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CSIRO Marine & Atmospher Res, Aspendale, Vic, AustraliaUniv New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia
机构:Sun Yat-Sen University,Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Center of Water Resources and Environment, School of Civil Engineering
Tongtiegang Zhao
Haoling Chen
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机构:Sun Yat-Sen University,Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Center of Water Resources and Environment, School of Civil Engineering
Haoling Chen
Baoxiang Pan
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机构:Sun Yat-Sen University,Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Center of Water Resources and Environment, School of Civil Engineering
Baoxiang Pan
Lei Ye
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机构:Sun Yat-Sen University,Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Center of Water Resources and Environment, School of Civil Engineering
Lei Ye
Huayang Cai
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机构:Sun Yat-Sen University,Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Center of Water Resources and Environment, School of Civil Engineering
Huayang Cai
Yongyong Zhang
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机构:Sun Yat-Sen University,Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Center of Water Resources and Environment, School of Civil Engineering
Yongyong Zhang
Xiaohong Chen
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机构:Sun Yat-Sen University,Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Center of Water Resources and Environment, School of Civil Engineering