Seasonal predictability of primary East Asian summer circulation patterns by three operational climate prediction models

Seasonal predictability of the Primary East‐Asian Summer Circulation Patterns (PEASCPs), including the Western Pacific Subtropical High (WPSH), South Asian High (SAH), anomalous Philippine Sea AntiCyclone (PSAC) and East Asian Summer Monsoon (EASM), are investigated by using the hindcasts from the t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Quarterly journal of the Royal Meteorological Society 2020-01, Vol.146 (727), p.629-646
Hauptverfasser: Zhou, Fang, Ren, Hong‐Li, Hu, Zeng‐Zhen, Liu, Ming‐Hong, Wu, Jie, Liu, Chang‐Zheng
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 646
container_issue 727
container_start_page 629
container_title Quarterly journal of the Royal Meteorological Society
container_volume 146
creator Zhou, Fang
Ren, Hong‐Li
Hu, Zeng‐Zhen
Liu, Ming‐Hong
Wu, Jie
Liu, Chang‐Zheng
description Seasonal predictability of the Primary East‐Asian Summer Circulation Patterns (PEASCPs), including the Western Pacific Subtropical High (WPSH), South Asian High (SAH), anomalous Philippine Sea AntiCyclone (PSAC) and East Asian Summer Monsoon (EASM), are investigated by using the hindcasts from the three operational climate prediction models, including BCC_CSM1.1(m), NCEP CFSv2 and ECMWF System 4. We show that prediction skills of the indices for representing these PEASCPs are sensitive to the initial calendar month of model prediction, and the ensemble mean of the three models provides relatively higher and more stable skills than forecasts from an individual model. In general, the indices of intensity and area have high prediction skills while the position indices have relatively low skills. Specifically, the skills of the WPSH intensity, area, SAH centre intensity, PSAC and EASM are higher, while the skills of the WPSH western boundary and SAH centre latitude are lower, and the skills of WPSH ridge line and SAH centre longitude are the lowest. Further analysis shows that the El Niño/Southern Oscillation (ENSO) has a large contribution to these prediction skills, and these patterns of atmospheric circulation anomalies in response to ENSO can be well captured by models, which is the major predictability source of the skills. Scatter plots and linear regression lines of PCC skills for BCC_CSM1.1(m) (orange), NCEP CFSv2 (green), ECMWF System 4 (blue) models and the ensemble mean (red) initiated in May against the absolute value of former winter‐mean (December, January and February) Niño3.4 index: (a) geopotential height at 200 hPa over the South Asia region [10°N–50°N, 30°E–120°E], (b) geopotential height at 500 hPa over the western Pacific region [10°N–40°N, 90°E–180°E], (c) u–wind at 200 hPa over the South Asia region [10°N–50°N, 30°E–120°E], and (d) u‐wind at 850 hPa over the Southeast Asia region [10°N–20°N, 90°E–120°E]
doi_str_mv 10.1002/qj.3697
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2369872985</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2369872985</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3227-4a2dbee02218aeb7dcc406d5b150af82b8ad8f67f934114fac4ad84c1a7f4f3d3</originalsourceid><addsrcrecordid>eNp1kE1LxDAQhoMouK7iXwh48CBdk7TdtMdl8ZMFERW8hTSdYErb7CYp2n9v9sOjp4GZZx5mXoQuKZlRQtjtppml85IfoQnNOE8KTj6P0YSQNE9KQspTdOZ9QwjJOeMT9PMG0ttetnjtoDYqyMq0JozY6tgxnXQjvpM-4IU3ssd-6DpwWBmnhlYGY3u8liGA6z2uRhy-HAC2a3C7WbSqNjoC_Nm3C52tofXn6ETL1sPFoU7Rx_3d-_IxWb08PC0Xq0SljPEkk6yuAAhjtJBQ8VqpjMzrvKI5kbpgVSHrQs-5LtOM0kxLlcVGpqjkOtNpnU7R1d67dnYzgA-isYOLp3nBYk4FZ2WRR-p6TylnvXegxeF5QYnYxio2jdjGGsmbPfltWhj_w8Tr847-BQaOe4g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2369872985</pqid></control><display><type>article</type><title>Seasonal predictability of primary East Asian summer circulation patterns by three operational climate prediction models</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Zhou, Fang ; Ren, Hong‐Li ; Hu, Zeng‐Zhen ; Liu, Ming‐Hong ; Wu, Jie ; Liu, Chang‐Zheng</creator><creatorcontrib>Zhou, Fang ; Ren, Hong‐Li ; Hu, Zeng‐Zhen ; Liu, Ming‐Hong ; Wu, Jie ; Liu, Chang‐Zheng</creatorcontrib><description>Seasonal predictability of the Primary East‐Asian Summer Circulation Patterns (PEASCPs), including the Western Pacific Subtropical High (WPSH), South Asian High (SAH), anomalous Philippine Sea AntiCyclone (PSAC) and East Asian Summer Monsoon (EASM), are investigated by using the hindcasts from the three operational climate prediction models, including BCC_CSM1.1(m), NCEP CFSv2 and ECMWF System 4. We show that prediction skills of the indices for representing these PEASCPs are sensitive to the initial calendar month of model prediction, and the ensemble mean of the three models provides relatively higher and more stable skills than forecasts from an individual model. In general, the indices of intensity and area have high prediction skills while the position indices have relatively low skills. Specifically, the skills of the WPSH intensity, area, SAH centre intensity, PSAC and EASM are higher, while the skills of the WPSH western boundary and SAH centre latitude are lower, and the skills of WPSH ridge line and SAH centre longitude are the lowest. Further analysis shows that the El Niño/Southern Oscillation (ENSO) has a large contribution to these prediction skills, and these patterns of atmospheric circulation anomalies in response to ENSO can be well captured by models, which is the major predictability source of the skills. Scatter plots and linear regression lines of PCC skills for BCC_CSM1.1(m) (orange), NCEP CFSv2 (green), ECMWF System 4 (blue) models and the ensemble mean (red) initiated in May against the absolute value of former winter‐mean (December, January and February) Niño3.4 index: (a) geopotential height at 200 hPa over the South Asia region [10°N–50°N, 30°E–120°E], (b) geopotential height at 500 hPa over the western Pacific region [10°N–40°N, 90°E–180°E], (c) u–wind at 200 hPa over the South Asia region [10°N–50°N, 30°E–120°E], and (d) u‐wind at 850 hPa over the Southeast Asia region [10°N–20°N, 90°E–120°E]</description><identifier>ISSN: 0035-9009</identifier><identifier>EISSN: 1477-870X</identifier><identifier>DOI: 10.1002/qj.3697</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><subject>Anomalies ; Anticyclones ; Atmospheric circulation ; Atmospheric circulation anomalies ; Atmospheric circulation patterns ; Climate models ; Climate prediction ; East Asian monsoon ; El Nino ; El Nino phenomena ; El Nino-Southern Oscillation event ; El Niño/Southern Oscillation (ENSO) ; predictability source ; Prediction models ; prediction skills ; primary East Asian summer circulation patterns (PEASCPs) ; South Asian High ; Southern Oscillation ; Summer ; Summer circulation ; Summer monsoon</subject><ispartof>Quarterly journal of the Royal Meteorological Society, 2020-01, Vol.146 (727), p.629-646</ispartof><rights>2019 Royal Meteorological Society</rights><rights>2020 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3227-4a2dbee02218aeb7dcc406d5b150af82b8ad8f67f934114fac4ad84c1a7f4f3d3</citedby><cites>FETCH-LOGICAL-c3227-4a2dbee02218aeb7dcc406d5b150af82b8ad8f67f934114fac4ad84c1a7f4f3d3</cites><orcidid>0000-0001-9107-4969</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fqj.3697$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fqj.3697$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Zhou, Fang</creatorcontrib><creatorcontrib>Ren, Hong‐Li</creatorcontrib><creatorcontrib>Hu, Zeng‐Zhen</creatorcontrib><creatorcontrib>Liu, Ming‐Hong</creatorcontrib><creatorcontrib>Wu, Jie</creatorcontrib><creatorcontrib>Liu, Chang‐Zheng</creatorcontrib><title>Seasonal predictability of primary East Asian summer circulation patterns by three operational climate prediction models</title><title>Quarterly journal of the Royal Meteorological Society</title><description>Seasonal predictability of the Primary East‐Asian Summer Circulation Patterns (PEASCPs), including the Western Pacific Subtropical High (WPSH), South Asian High (SAH), anomalous Philippine Sea AntiCyclone (PSAC) and East Asian Summer Monsoon (EASM), are investigated by using the hindcasts from the three operational climate prediction models, including BCC_CSM1.1(m), NCEP CFSv2 and ECMWF System 4. We show that prediction skills of the indices for representing these PEASCPs are sensitive to the initial calendar month of model prediction, and the ensemble mean of the three models provides relatively higher and more stable skills than forecasts from an individual model. In general, the indices of intensity and area have high prediction skills while the position indices have relatively low skills. Specifically, the skills of the WPSH intensity, area, SAH centre intensity, PSAC and EASM are higher, while the skills of the WPSH western boundary and SAH centre latitude are lower, and the skills of WPSH ridge line and SAH centre longitude are the lowest. Further analysis shows that the El Niño/Southern Oscillation (ENSO) has a large contribution to these prediction skills, and these patterns of atmospheric circulation anomalies in response to ENSO can be well captured by models, which is the major predictability source of the skills. Scatter plots and linear regression lines of PCC skills for BCC_CSM1.1(m) (orange), NCEP CFSv2 (green), ECMWF System 4 (blue) models and the ensemble mean (red) initiated in May against the absolute value of former winter‐mean (December, January and February) Niño3.4 index: (a) geopotential height at 200 hPa over the South Asia region [10°N–50°N, 30°E–120°E], (b) geopotential height at 500 hPa over the western Pacific region [10°N–40°N, 90°E–180°E], (c) u–wind at 200 hPa over the South Asia region [10°N–50°N, 30°E–120°E], and (d) u‐wind at 850 hPa over the Southeast Asia region [10°N–20°N, 90°E–120°E]</description><subject>Anomalies</subject><subject>Anticyclones</subject><subject>Atmospheric circulation</subject><subject>Atmospheric circulation anomalies</subject><subject>Atmospheric circulation patterns</subject><subject>Climate models</subject><subject>Climate prediction</subject><subject>East Asian monsoon</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>El Nino-Southern Oscillation event</subject><subject>El Niño/Southern Oscillation (ENSO)</subject><subject>predictability source</subject><subject>Prediction models</subject><subject>prediction skills</subject><subject>primary East Asian summer circulation patterns (PEASCPs)</subject><subject>South Asian High</subject><subject>Southern Oscillation</subject><subject>Summer</subject><subject>Summer circulation</subject><subject>Summer monsoon</subject><issn>0035-9009</issn><issn>1477-870X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LxDAQhoMouK7iXwh48CBdk7TdtMdl8ZMFERW8hTSdYErb7CYp2n9v9sOjp4GZZx5mXoQuKZlRQtjtppml85IfoQnNOE8KTj6P0YSQNE9KQspTdOZ9QwjJOeMT9PMG0ttetnjtoDYqyMq0JozY6tgxnXQjvpM-4IU3ssd-6DpwWBmnhlYGY3u8liGA6z2uRhy-HAC2a3C7WbSqNjoC_Nm3C52tofXn6ETL1sPFoU7Rx_3d-_IxWb08PC0Xq0SljPEkk6yuAAhjtJBQ8VqpjMzrvKI5kbpgVSHrQs-5LtOM0kxLlcVGpqjkOtNpnU7R1d67dnYzgA-isYOLp3nBYk4FZ2WRR-p6TylnvXegxeF5QYnYxio2jdjGGsmbPfltWhj_w8Tr847-BQaOe4g</recordid><startdate>202001</startdate><enddate>202001</enddate><creator>Zhou, Fang</creator><creator>Ren, Hong‐Li</creator><creator>Hu, Zeng‐Zhen</creator><creator>Liu, Ming‐Hong</creator><creator>Wu, Jie</creator><creator>Liu, Chang‐Zheng</creator><general>John Wiley &amp; Sons, Ltd</general><general>Wiley Subscription Services, Inc</general><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><orcidid>https://orcid.org/0000-0001-9107-4969</orcidid></search><sort><creationdate>202001</creationdate><title>Seasonal predictability of primary East Asian summer circulation patterns by three operational climate prediction models</title><author>Zhou, Fang ; Ren, Hong‐Li ; Hu, Zeng‐Zhen ; Liu, Ming‐Hong ; Wu, Jie ; Liu, Chang‐Zheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3227-4a2dbee02218aeb7dcc406d5b150af82b8ad8f67f934114fac4ad84c1a7f4f3d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Anomalies</topic><topic>Anticyclones</topic><topic>Atmospheric circulation</topic><topic>Atmospheric circulation anomalies</topic><topic>Atmospheric circulation patterns</topic><topic>Climate models</topic><topic>Climate prediction</topic><topic>East Asian monsoon</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>El Nino-Southern Oscillation event</topic><topic>El Niño/Southern Oscillation (ENSO)</topic><topic>predictability source</topic><topic>Prediction models</topic><topic>prediction skills</topic><topic>primary East Asian summer circulation patterns (PEASCPs)</topic><topic>South Asian High</topic><topic>Southern Oscillation</topic><topic>Summer</topic><topic>Summer circulation</topic><topic>Summer monsoon</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Fang</creatorcontrib><creatorcontrib>Ren, Hong‐Li</creatorcontrib><creatorcontrib>Hu, Zeng‐Zhen</creatorcontrib><creatorcontrib>Liu, Ming‐Hong</creatorcontrib><creatorcontrib>Wu, Jie</creatorcontrib><creatorcontrib>Liu, Chang‐Zheng</creatorcontrib><collection>CrossRef</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><jtitle>Quarterly journal of the Royal Meteorological Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Fang</au><au>Ren, Hong‐Li</au><au>Hu, Zeng‐Zhen</au><au>Liu, Ming‐Hong</au><au>Wu, Jie</au><au>Liu, Chang‐Zheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Seasonal predictability of primary East Asian summer circulation patterns by three operational climate prediction models</atitle><jtitle>Quarterly journal of the Royal Meteorological Society</jtitle><date>2020-01</date><risdate>2020</risdate><volume>146</volume><issue>727</issue><spage>629</spage><epage>646</epage><pages>629-646</pages><issn>0035-9009</issn><eissn>1477-870X</eissn><abstract>Seasonal predictability of the Primary East‐Asian Summer Circulation Patterns (PEASCPs), including the Western Pacific Subtropical High (WPSH), South Asian High (SAH), anomalous Philippine Sea AntiCyclone (PSAC) and East Asian Summer Monsoon (EASM), are investigated by using the hindcasts from the three operational climate prediction models, including BCC_CSM1.1(m), NCEP CFSv2 and ECMWF System 4. We show that prediction skills of the indices for representing these PEASCPs are sensitive to the initial calendar month of model prediction, and the ensemble mean of the three models provides relatively higher and more stable skills than forecasts from an individual model. In general, the indices of intensity and area have high prediction skills while the position indices have relatively low skills. Specifically, the skills of the WPSH intensity, area, SAH centre intensity, PSAC and EASM are higher, while the skills of the WPSH western boundary and SAH centre latitude are lower, and the skills of WPSH ridge line and SAH centre longitude are the lowest. Further analysis shows that the El Niño/Southern Oscillation (ENSO) has a large contribution to these prediction skills, and these patterns of atmospheric circulation anomalies in response to ENSO can be well captured by models, which is the major predictability source of the skills. Scatter plots and linear regression lines of PCC skills for BCC_CSM1.1(m) (orange), NCEP CFSv2 (green), ECMWF System 4 (blue) models and the ensemble mean (red) initiated in May against the absolute value of former winter‐mean (December, January and February) Niño3.4 index: (a) geopotential height at 200 hPa over the South Asia region [10°N–50°N, 30°E–120°E], (b) geopotential height at 500 hPa over the western Pacific region [10°N–40°N, 90°E–180°E], (c) u–wind at 200 hPa over the South Asia region [10°N–50°N, 30°E–120°E], and (d) u‐wind at 850 hPa over the Southeast Asia region [10°N–20°N, 90°E–120°E]</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><doi>10.1002/qj.3697</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0001-9107-4969</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0035-9009
ispartof Quarterly journal of the Royal Meteorological Society, 2020-01, Vol.146 (727), p.629-646
issn 0035-9009
1477-870X
language eng
recordid cdi_proquest_journals_2369872985
source Wiley Online Library Journals Frontfile Complete
subjects Anomalies
Anticyclones
Atmospheric circulation
Atmospheric circulation anomalies
Atmospheric circulation patterns
Climate models
Climate prediction
East Asian monsoon
El Nino
El Nino phenomena
El Nino-Southern Oscillation event
El Niño/Southern Oscillation (ENSO)
predictability source
Prediction models
prediction skills
primary East Asian summer circulation patterns (PEASCPs)
South Asian High
Southern Oscillation
Summer
Summer circulation
Summer monsoon
title Seasonal predictability of primary East Asian summer circulation patterns by three operational climate prediction models
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T03%3A53%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Seasonal%20predictability%20of%20primary%20East%20Asian%20summer%20circulation%20patterns%20by%20three%20operational%20climate%20prediction%20models&rft.jtitle=Quarterly%20journal%20of%20the%20Royal%20Meteorological%20Society&rft.au=Zhou,%20Fang&rft.date=2020-01&rft.volume=146&rft.issue=727&rft.spage=629&rft.epage=646&rft.pages=629-646&rft.issn=0035-9009&rft.eissn=1477-870X&rft_id=info:doi/10.1002/qj.3697&rft_dat=%3Cproquest_cross%3E2369872985%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2369872985&rft_id=info:pmid/&rfr_iscdi=true