Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s
Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enha...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kang, Daehyun [verfasserIn] Lee, Myong-In [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Climate dynamics - Berlin : Springer, 1986, 49(2016), 5-6 vom: 12. Nov., Seite 2147-2160 |
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| Übergeordnetes Werk: |
volume:49 ; year:2016 ; number:5-6 ; day:12 ; month:11 ; pages:2147-2160 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00382-016-3436-5 |
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| Katalog-ID: |
SPR004669932 |
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| 245 | 1 | 0 | |a Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s |
| 264 | 1 | |c 2016 | |
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| 520 | |a Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enhanced connection between the AO and the El Niño and Southern Oscillation (ENSO). The relationship between ENSO and AO depends primarily on low-frequency variability in the North Pacific driven by the North Pacific Gyre Oscillation, as represented by the Hawaiian sea level pressure ($ SLP_{HI} $) index. When the sign of the $ SLP_{HI} $ index and that of the NINO3.4 index are out-of-phase (in-phase) with the variability center of ENSO shifted to the central Pacific (eastern Pacific), more intense (weaker) ENSO-AO teleconnection results. Linear barotropic model experiments with prescribed ENSO forcing and differing phase and intensity of $ SLP_{HI} $ support the observed relationship in La Niña years, highlighting the important and independent role of the $ SLP_{HI} $ variability as a modulator of the ENSO teleconnection to higher latitudes. | ||
| 650 | 4 | |a Seasonal prediction |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Arctic Oscillation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a ENSO |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a North American multimodel ensemble |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Teleconnection |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Decadal variability |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Lee, Myong-In |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Climate dynamics |d Berlin : Springer, 1986 |g 49(2016), 5-6 vom: 12. Nov., Seite 2147-2160 |w (DE-627)268128561 |w (DE-600)1471747-5 |x 1432-0894 |7 nnns |
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10.1007/s00382-016-3436-5 doi (DE-627)SPR004669932 (SPR)s00382-016-3436-5-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Kang, Daehyun verfasserin aut Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enhanced connection between the AO and the El Niño and Southern Oscillation (ENSO). The relationship between ENSO and AO depends primarily on low-frequency variability in the North Pacific driven by the North Pacific Gyre Oscillation, as represented by the Hawaiian sea level pressure ($ SLP_{HI} $) index. When the sign of the $ SLP_{HI} $ index and that of the NINO3.4 index are out-of-phase (in-phase) with the variability center of ENSO shifted to the central Pacific (eastern Pacific), more intense (weaker) ENSO-AO teleconnection results. Linear barotropic model experiments with prescribed ENSO forcing and differing phase and intensity of $ SLP_{HI} $ support the observed relationship in La Niña years, highlighting the important and independent role of the $ SLP_{HI} $ variability as a modulator of the ENSO teleconnection to higher latitudes. Seasonal prediction (dpeaa)DE-He213 Arctic Oscillation (dpeaa)DE-He213 ENSO (dpeaa)DE-He213 North American multimodel ensemble (dpeaa)DE-He213 Teleconnection (dpeaa)DE-He213 Decadal variability (dpeaa)DE-He213 Lee, Myong-In verfasserin aut Enthalten in Climate dynamics Berlin : Springer, 1986 49(2016), 5-6 vom: 12. Nov., Seite 2147-2160 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:49 year:2016 number:5-6 day:12 month:11 pages:2147-2160 https://dx.doi.org/10.1007/s00382-016-3436-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 49 2016 5-6 12 11 2147-2160 |
| spelling |
10.1007/s00382-016-3436-5 doi (DE-627)SPR004669932 (SPR)s00382-016-3436-5-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Kang, Daehyun verfasserin aut Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enhanced connection between the AO and the El Niño and Southern Oscillation (ENSO). The relationship between ENSO and AO depends primarily on low-frequency variability in the North Pacific driven by the North Pacific Gyre Oscillation, as represented by the Hawaiian sea level pressure ($ SLP_{HI} $) index. When the sign of the $ SLP_{HI} $ index and that of the NINO3.4 index are out-of-phase (in-phase) with the variability center of ENSO shifted to the central Pacific (eastern Pacific), more intense (weaker) ENSO-AO teleconnection results. Linear barotropic model experiments with prescribed ENSO forcing and differing phase and intensity of $ SLP_{HI} $ support the observed relationship in La Niña years, highlighting the important and independent role of the $ SLP_{HI} $ variability as a modulator of the ENSO teleconnection to higher latitudes. Seasonal prediction (dpeaa)DE-He213 Arctic Oscillation (dpeaa)DE-He213 ENSO (dpeaa)DE-He213 North American multimodel ensemble (dpeaa)DE-He213 Teleconnection (dpeaa)DE-He213 Decadal variability (dpeaa)DE-He213 Lee, Myong-In verfasserin aut Enthalten in Climate dynamics Berlin : Springer, 1986 49(2016), 5-6 vom: 12. Nov., Seite 2147-2160 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:49 year:2016 number:5-6 day:12 month:11 pages:2147-2160 https://dx.doi.org/10.1007/s00382-016-3436-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 49 2016 5-6 12 11 2147-2160 |
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10.1007/s00382-016-3436-5 doi (DE-627)SPR004669932 (SPR)s00382-016-3436-5-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Kang, Daehyun verfasserin aut Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enhanced connection between the AO and the El Niño and Southern Oscillation (ENSO). The relationship between ENSO and AO depends primarily on low-frequency variability in the North Pacific driven by the North Pacific Gyre Oscillation, as represented by the Hawaiian sea level pressure ($ SLP_{HI} $) index. When the sign of the $ SLP_{HI} $ index and that of the NINO3.4 index are out-of-phase (in-phase) with the variability center of ENSO shifted to the central Pacific (eastern Pacific), more intense (weaker) ENSO-AO teleconnection results. Linear barotropic model experiments with prescribed ENSO forcing and differing phase and intensity of $ SLP_{HI} $ support the observed relationship in La Niña years, highlighting the important and independent role of the $ SLP_{HI} $ variability as a modulator of the ENSO teleconnection to higher latitudes. Seasonal prediction (dpeaa)DE-He213 Arctic Oscillation (dpeaa)DE-He213 ENSO (dpeaa)DE-He213 North American multimodel ensemble (dpeaa)DE-He213 Teleconnection (dpeaa)DE-He213 Decadal variability (dpeaa)DE-He213 Lee, Myong-In verfasserin aut Enthalten in Climate dynamics Berlin : Springer, 1986 49(2016), 5-6 vom: 12. Nov., Seite 2147-2160 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:49 year:2016 number:5-6 day:12 month:11 pages:2147-2160 https://dx.doi.org/10.1007/s00382-016-3436-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 49 2016 5-6 12 11 2147-2160 |
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10.1007/s00382-016-3436-5 doi (DE-627)SPR004669932 (SPR)s00382-016-3436-5-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Kang, Daehyun verfasserin aut Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enhanced connection between the AO and the El Niño and Southern Oscillation (ENSO). The relationship between ENSO and AO depends primarily on low-frequency variability in the North Pacific driven by the North Pacific Gyre Oscillation, as represented by the Hawaiian sea level pressure ($ SLP_{HI} $) index. When the sign of the $ SLP_{HI} $ index and that of the NINO3.4 index are out-of-phase (in-phase) with the variability center of ENSO shifted to the central Pacific (eastern Pacific), more intense (weaker) ENSO-AO teleconnection results. Linear barotropic model experiments with prescribed ENSO forcing and differing phase and intensity of $ SLP_{HI} $ support the observed relationship in La Niña years, highlighting the important and independent role of the $ SLP_{HI} $ variability as a modulator of the ENSO teleconnection to higher latitudes. Seasonal prediction (dpeaa)DE-He213 Arctic Oscillation (dpeaa)DE-He213 ENSO (dpeaa)DE-He213 North American multimodel ensemble (dpeaa)DE-He213 Teleconnection (dpeaa)DE-He213 Decadal variability (dpeaa)DE-He213 Lee, Myong-In verfasserin aut Enthalten in Climate dynamics Berlin : Springer, 1986 49(2016), 5-6 vom: 12. Nov., Seite 2147-2160 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:49 year:2016 number:5-6 day:12 month:11 pages:2147-2160 https://dx.doi.org/10.1007/s00382-016-3436-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 49 2016 5-6 12 11 2147-2160 |
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10.1007/s00382-016-3436-5 doi (DE-627)SPR004669932 (SPR)s00382-016-3436-5-e DE-627 ger DE-627 rakwb eng 550 ASE 38.80 bkl Kang, Daehyun verfasserin aut Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enhanced connection between the AO and the El Niño and Southern Oscillation (ENSO). The relationship between ENSO and AO depends primarily on low-frequency variability in the North Pacific driven by the North Pacific Gyre Oscillation, as represented by the Hawaiian sea level pressure ($ SLP_{HI} $) index. When the sign of the $ SLP_{HI} $ index and that of the NINO3.4 index are out-of-phase (in-phase) with the variability center of ENSO shifted to the central Pacific (eastern Pacific), more intense (weaker) ENSO-AO teleconnection results. Linear barotropic model experiments with prescribed ENSO forcing and differing phase and intensity of $ SLP_{HI} $ support the observed relationship in La Niña years, highlighting the important and independent role of the $ SLP_{HI} $ variability as a modulator of the ENSO teleconnection to higher latitudes. Seasonal prediction (dpeaa)DE-He213 Arctic Oscillation (dpeaa)DE-He213 ENSO (dpeaa)DE-He213 North American multimodel ensemble (dpeaa)DE-He213 Teleconnection (dpeaa)DE-He213 Decadal variability (dpeaa)DE-He213 Lee, Myong-In verfasserin aut Enthalten in Climate dynamics Berlin : Springer, 1986 49(2016), 5-6 vom: 12. Nov., Seite 2147-2160 (DE-627)268128561 (DE-600)1471747-5 1432-0894 nnns volume:49 year:2016 number:5-6 day:12 month:11 pages:2147-2160 https://dx.doi.org/10.1007/s00382-016-3436-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_612 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.80 ASE AR 49 2016 5-6 12 11 2147-2160 |
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Enthalten in Climate dynamics 49(2016), 5-6 vom: 12. Nov., Seite 2147-2160 volume:49 year:2016 number:5-6 day:12 month:11 pages:2147-2160 |
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Seasonal prediction Arctic Oscillation ENSO North American multimodel ensemble Teleconnection Decadal variability |
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Kang, Daehyun @@aut@@ Lee, Myong-In @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR004669932</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220110175039.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00382-016-3436-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR004669932</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00382-016-3436-5-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">550</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.80</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Kang, Daehyun</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enhanced connection between the AO and the El Niño and Southern Oscillation (ENSO). The relationship between ENSO and AO depends primarily on low-frequency variability in the North Pacific driven by the North Pacific Gyre Oscillation, as represented by the Hawaiian sea level pressure ($ SLP_{HI} $) index. When the sign of the $ SLP_{HI} $ index and that of the NINO3.4 index are out-of-phase (in-phase) with the variability center of ENSO shifted to the central Pacific (eastern Pacific), more intense (weaker) ENSO-AO teleconnection results. Linear barotropic model experiments with prescribed ENSO forcing and differing phase and intensity of $ SLP_{HI} $ support the observed relationship in La Niña years, highlighting the important and independent role of the $ SLP_{HI} $ variability as a modulator of the ENSO teleconnection to higher latitudes.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Seasonal prediction</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Arctic Oscillation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">ENSO</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">North American multimodel ensemble</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Teleconnection</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Decadal variability</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lee, Myong-In</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Climate dynamics</subfield><subfield code="d">Berlin : Springer, 1986</subfield><subfield code="g">49(2016), 5-6 vom: 12. 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Kang, Daehyun |
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Kang, Daehyun ddc 550 bkl 38.80 misc Seasonal prediction misc Arctic Oscillation misc ENSO misc North American multimodel ensemble misc Teleconnection misc Decadal variability Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s |
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550 ASE 38.80 bkl Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s Seasonal prediction (dpeaa)DE-He213 Arctic Oscillation (dpeaa)DE-He213 ENSO (dpeaa)DE-He213 North American multimodel ensemble (dpeaa)DE-He213 Teleconnection (dpeaa)DE-He213 Decadal variability (dpeaa)DE-He213 |
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Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s |
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Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s |
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increase in the potential predictability of the arctic oscillation via intensified teleconnection with enso after the mid-1990s |
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Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s |
| abstract |
Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enhanced connection between the AO and the El Niño and Southern Oscillation (ENSO). The relationship between ENSO and AO depends primarily on low-frequency variability in the North Pacific driven by the North Pacific Gyre Oscillation, as represented by the Hawaiian sea level pressure ($ SLP_{HI} $) index. When the sign of the $ SLP_{HI} $ index and that of the NINO3.4 index are out-of-phase (in-phase) with the variability center of ENSO shifted to the central Pacific (eastern Pacific), more intense (weaker) ENSO-AO teleconnection results. Linear barotropic model experiments with prescribed ENSO forcing and differing phase and intensity of $ SLP_{HI} $ support the observed relationship in La Niña years, highlighting the important and independent role of the $ SLP_{HI} $ variability as a modulator of the ENSO teleconnection to higher latitudes. |
| abstractGer |
Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enhanced connection between the AO and the El Niño and Southern Oscillation (ENSO). The relationship between ENSO and AO depends primarily on low-frequency variability in the North Pacific driven by the North Pacific Gyre Oscillation, as represented by the Hawaiian sea level pressure ($ SLP_{HI} $) index. When the sign of the $ SLP_{HI} $ index and that of the NINO3.4 index are out-of-phase (in-phase) with the variability center of ENSO shifted to the central Pacific (eastern Pacific), more intense (weaker) ENSO-AO teleconnection results. Linear barotropic model experiments with prescribed ENSO forcing and differing phase and intensity of $ SLP_{HI} $ support the observed relationship in La Niña years, highlighting the important and independent role of the $ SLP_{HI} $ variability as a modulator of the ENSO teleconnection to higher latitudes. |
| abstract_unstemmed |
Abstract This study examines why the seasonal prediction skill of the Arctic Oscillation (AO) has increased significantly since the mid-1990s in state-of-the-art seasonal forecasting systems in operation. This skill increase is primarily attributed to variability over the North Atlantic with an enhanced connection between the AO and the El Niño and Southern Oscillation (ENSO). The relationship between ENSO and AO depends primarily on low-frequency variability in the North Pacific driven by the North Pacific Gyre Oscillation, as represented by the Hawaiian sea level pressure ($ SLP_{HI} $) index. When the sign of the $ SLP_{HI} $ index and that of the NINO3.4 index are out-of-phase (in-phase) with the variability center of ENSO shifted to the central Pacific (eastern Pacific), more intense (weaker) ENSO-AO teleconnection results. Linear barotropic model experiments with prescribed ENSO forcing and differing phase and intensity of $ SLP_{HI} $ support the observed relationship in La Niña years, highlighting the important and independent role of the $ SLP_{HI} $ variability as a modulator of the ENSO teleconnection to higher latitudes. |
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| container_issue |
5-6 |
| title_short |
Increase in the potential predictability of the Arctic Oscillation via intensified teleconnection with ENSO after the mid-1990s |
| url |
https://dx.doi.org/10.1007/s00382-016-3436-5 |
| remote_bool |
true |
| author2 |
Lee, Myong-In |
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Lee, Myong-In |
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c |
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false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s00382-016-3436-5 |
| up_date |
2024-07-04T02:07:10.785Z |
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1803612408552357888 |
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| score |
7.4019337 |