Dynamical seasonal predictability of the Arctic Oscillation using a CGCM
ABSTRACT The potential dynamical predictability of the winter Arctic Oscillation (AO) is investigated using the ensemble hindcast from the Pusan National University coupled general circulation model (PNU‐CGCM) over the 30‐year period of 1981–2010. The analysis indicates that PNU‐CGCM can not only re...
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| Veröffentlicht in: | International journal of climatology 2015-06, Vol.35 (7), p.1342-1353 |
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| container_title | International journal of climatology |
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| creator | Sun, Jianqi Ahn, Joong‐Bae |
| description | ABSTRACT
The potential dynamical predictability of the winter Arctic Oscillation (AO) is investigated using the ensemble hindcast from the Pusan National University coupled general circulation model (PNU‐CGCM) over the 30‐year period of 1981–2010. The analysis indicates that PNU‐CGCM can not only reproduce the spatial distribution of the AO but also significantly simulate the AO's temporal variability. In addition, the coupled model performs well in terms of predicting the AO's impact on the Northern Hemisphere winter climate. These results reveal the coupled model's potential for dynamical forecasting of the climate over the mid‐latitude to high latitude. |
| doi_str_mv | 10.1002/joc.4060 |
| format | Article |
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The potential dynamical predictability of the winter Arctic Oscillation (AO) is investigated using the ensemble hindcast from the Pusan National University coupled general circulation model (PNU‐CGCM) over the 30‐year period of 1981–2010. The analysis indicates that PNU‐CGCM can not only reproduce the spatial distribution of the AO but also significantly simulate the AO's temporal variability. In addition, the coupled model performs well in terms of predicting the AO's impact on the Northern Hemisphere winter climate. These results reveal the coupled model's potential for dynamical forecasting of the climate over the mid‐latitude to high latitude.</description><identifier>ISSN: 0899-8418</identifier><identifier>EISSN: 1097-0088</identifier><identifier>DOI: 10.1002/joc.4060</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Arctic Oscillation ; CGCM ; ensemble hindcast ; General circulation models ; Meteorology ; predictability ; winter climate</subject><ispartof>International journal of climatology, 2015-06, Vol.35 (7), p.1342-1353</ispartof><rights>2014 The Authors. published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society</rights><rights>2015 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4300-1e4a342d524216cca46e8abd82a63120bcd20ad1a62e9932d2027c908d2ff2be3</citedby><cites>FETCH-LOGICAL-c4300-1e4a342d524216cca46e8abd82a63120bcd20ad1a62e9932d2027c908d2ff2be3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjoc.4060$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjoc.4060$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Sun, Jianqi</creatorcontrib><creatorcontrib>Ahn, Joong‐Bae</creatorcontrib><title>Dynamical seasonal predictability of the Arctic Oscillation using a CGCM</title><title>International journal of climatology</title><description>ABSTRACT
The potential dynamical predictability of the winter Arctic Oscillation (AO) is investigated using the ensemble hindcast from the Pusan National University coupled general circulation model (PNU‐CGCM) over the 30‐year period of 1981–2010. The analysis indicates that PNU‐CGCM can not only reproduce the spatial distribution of the AO but also significantly simulate the AO's temporal variability. In addition, the coupled model performs well in terms of predicting the AO's impact on the Northern Hemisphere winter climate. These results reveal the coupled model's potential for dynamical forecasting of the climate over the mid‐latitude to high latitude.</description><subject>Arctic Oscillation</subject><subject>CGCM</subject><subject>ensemble hindcast</subject><subject>General circulation models</subject><subject>Meteorology</subject><subject>predictability</subject><subject>winter climate</subject><issn>0899-8418</issn><issn>1097-0088</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp10FFLwzAQAOAgCs4p-BMCvvjSeUmzNHkcVacy2Ys-hzRNNaNrZtIi_fdmThAEn-4OvjvuDqFLAjMCQG823swYcDhCEwKyyACEOEYTEFJmghFxis5i3ACAlIRP0MPt2OmtM7rF0erou5Tsgq2d6XXlWteP2De4f7d4EUzvDF5H49pW9853eIiue8Mal8vy-RydNLqN9uInTtHr_d1L-ZCt1svHcrHKDMsBMmKZzhmt55RRwo3RjFuhq1pQzXNCoTI1BV0TzamVMqepooWRIGraNLSy-RRdH-bugv8YbOzV1kVj00qd9UNUhEsmC8oIT_TqD934IaQL90rMeSEKoL8DTfAxBtuoXXBbHUZFQO1fmrqM2r800exAP11rx3-delqX3_4LP411pA</recordid><startdate>20150615</startdate><enddate>20150615</enddate><creator>Sun, Jianqi</creator><creator>Ahn, Joong‐Bae</creator><general>John Wiley & Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>7UA</scope><scope>C1K</scope></search><sort><creationdate>20150615</creationdate><title>Dynamical seasonal predictability of the Arctic Oscillation using a CGCM</title><author>Sun, Jianqi ; Ahn, Joong‐Bae</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4300-1e4a342d524216cca46e8abd82a63120bcd20ad1a62e9932d2027c908d2ff2be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Arctic Oscillation</topic><topic>CGCM</topic><topic>ensemble hindcast</topic><topic>General circulation models</topic><topic>Meteorology</topic><topic>predictability</topic><topic>winter climate</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Jianqi</creatorcontrib><creatorcontrib>Ahn, Joong‐Bae</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>International journal of climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Jianqi</au><au>Ahn, Joong‐Bae</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamical seasonal predictability of the Arctic Oscillation using a CGCM</atitle><jtitle>International journal of climatology</jtitle><date>2015-06-15</date><risdate>2015</risdate><volume>35</volume><issue>7</issue><spage>1342</spage><epage>1353</epage><pages>1342-1353</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>ABSTRACT
The potential dynamical predictability of the winter Arctic Oscillation (AO) is investigated using the ensemble hindcast from the Pusan National University coupled general circulation model (PNU‐CGCM) over the 30‐year period of 1981–2010. The analysis indicates that PNU‐CGCM can not only reproduce the spatial distribution of the AO but also significantly simulate the AO's temporal variability. In addition, the coupled model performs well in terms of predicting the AO's impact on the Northern Hemisphere winter climate. These results reveal the coupled model's potential for dynamical forecasting of the climate over the mid‐latitude to high latitude.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/joc.4060</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | Wiley Online Library - AutoHoldings Journals |
| subjects | Arctic Oscillation CGCM ensemble hindcast General circulation models Meteorology predictability winter climate |
| title | Dynamical seasonal predictability of the Arctic Oscillation using a CGCM |
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