An empirical seasonal prediction model of the east Asian

[1] How to predict the year-to-year variation of the east Asian summer monsoon (EASM) is one of the most challenging and important tasks in climate prediction. It has been recognized that the EASM variations are intimately but not exclusively linked to the development and decay of El Niño or La Niña...

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Main Authors: Zhiwei Wu, Bin Wang, Jianping Li, Fei-fei Jin
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2009
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.5397
http://www.soest.hawaii.edu/met/Faculty/jff/2009_04 An empirical seasonal prediction model of the east Asian summer monsoon using ENSO and NAO.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.367.5397 2023-05-15T17:30:21+02:00 An empirical seasonal prediction model of the east Asian Zhiwei Wu Bin Wang Jianping Li Fei-fei Jin The Pennsylvania State University CiteSeerX Archives 2009 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.5397 http://www.soest.hawaii.edu/met/Faculty/jff/2009_04 An empirical seasonal prediction model of the east Asian summer monsoon using ENSO and NAO.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.5397 http://www.soest.hawaii.edu/met/Faculty/jff/2009_04 An empirical seasonal prediction model of the east Asian summer monsoon using ENSO and NAO.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.soest.hawaii.edu/met/Faculty/jff/2009_04 An empirical seasonal prediction model of the east Asian summer monsoon using ENSO and NAO.pdf text 2009 ftciteseerx 2021-10-03T00:21:00Z [1] How to predict the year-to-year variation of the east Asian summer monsoon (EASM) is one of the most challenging and important tasks in climate prediction. It has been recognized that the EASM variations are intimately but not exclusively linked to the development and decay of El Niño or La Niña. Here we present observed evidence and numerical experiment results to show that anomalous North Atlantic Oscillation (NAO) in spring (April–May) can induce a tripole sea surface temperature pattern in the North Atlantic that persists into ensuing summer and excite downstream development of subpolar teleconnections across the northern Eurasia, which raises (or lowers) the pressure over the Ural Mountain and the Okhotsk Sea. The latter strengthens (or weakens) the east Asian subtropical front (Meiyu-Baiu-Changma), leading to a strong (or weak) EASM. An empirical model is established to predict the EASM strength by combination of the El Niño–Southern Oscillation (ENSO) and spring NAO. Hindcast is performed for the 1979–2006 period, which shows a hindcast prediction skill that is comparable to the 14 state-of-the-art multimodel ensemble hindcast. Since all these predictors can be readily monitored in real time, this empirical model provides a real time forecast tool. Text North Atlantic North Atlantic oscillation okhotsk sea Unknown Okhotsk
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description [1] How to predict the year-to-year variation of the east Asian summer monsoon (EASM) is one of the most challenging and important tasks in climate prediction. It has been recognized that the EASM variations are intimately but not exclusively linked to the development and decay of El Niño or La Niña. Here we present observed evidence and numerical experiment results to show that anomalous North Atlantic Oscillation (NAO) in spring (April–May) can induce a tripole sea surface temperature pattern in the North Atlantic that persists into ensuing summer and excite downstream development of subpolar teleconnections across the northern Eurasia, which raises (or lowers) the pressure over the Ural Mountain and the Okhotsk Sea. The latter strengthens (or weakens) the east Asian subtropical front (Meiyu-Baiu-Changma), leading to a strong (or weak) EASM. An empirical model is established to predict the EASM strength by combination of the El Niño–Southern Oscillation (ENSO) and spring NAO. Hindcast is performed for the 1979–2006 period, which shows a hindcast prediction skill that is comparable to the 14 state-of-the-art multimodel ensemble hindcast. Since all these predictors can be readily monitored in real time, this empirical model provides a real time forecast tool.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Zhiwei Wu
Bin Wang
Jianping Li
Fei-fei Jin
spellingShingle Zhiwei Wu
Bin Wang
Jianping Li
Fei-fei Jin
An empirical seasonal prediction model of the east Asian
author_facet Zhiwei Wu
Bin Wang
Jianping Li
Fei-fei Jin
author_sort Zhiwei Wu
title An empirical seasonal prediction model of the east Asian
title_short An empirical seasonal prediction model of the east Asian
title_full An empirical seasonal prediction model of the east Asian
title_fullStr An empirical seasonal prediction model of the east Asian
title_full_unstemmed An empirical seasonal prediction model of the east Asian
title_sort empirical seasonal prediction model of the east asian
publishDate 2009
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.5397
http://www.soest.hawaii.edu/met/Faculty/jff/2009_04 An empirical seasonal prediction model of the east Asian summer monsoon using ENSO and NAO.pdf
geographic Okhotsk
geographic_facet Okhotsk
genre North Atlantic
North Atlantic oscillation
okhotsk sea
genre_facet North Atlantic
North Atlantic oscillation
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op_source http://www.soest.hawaii.edu/met/Faculty/jff/2009_04 An empirical seasonal prediction model of the east Asian summer monsoon using ENSO and NAO.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.5397
http://www.soest.hawaii.edu/met/Faculty/jff/2009_04 An empirical seasonal prediction model of the east Asian summer monsoon using ENSO and NAO.pdf
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