Identifying the predictable and unpredictable patterns of spring-to-autumn precipitation over eastern China
The patterns of interannual variability that arise from the slow (potentially predictable) and fast or intraseasonal (unpredictable) components of seasonal mean precipitation over eastern China are examined, based on observations from a network of 106 stations for the period 1951–2004. The analysis...
Gespeichert in:
Veröffentlicht in: | Climate dynamics 2017-05, Vol.48 (9-10), p.3183-3206 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 3206 |
---|---|
container_issue | 9-10 |
container_start_page | 3183 |
container_title | Climate dynamics |
container_volume | 48 |
creator | Ying, Kairan Zheng, Xiaogu Zhao, Tianbao Frederiksen, Carsten S. Quan, Xiao-Wei |
description | The patterns of interannual variability that arise from the slow (potentially predictable) and fast or intraseasonal (unpredictable) components of seasonal mean precipitation over eastern China are examined, based on observations from a network of 106 stations for the period 1951–2004. The analysis is done by using a variance decomposition method that allows identification of the sources of the predictability and the prediction uncertainty, from March–April–May (MAM) to September–October–November (SON). The average potential predictability (ratio of slow-to-total variance) of eastern China precipitation is generally moderate, with the highest value of 0.18 in June–July–August (JJA) and lowest value of 0.12 in April–May–June (AMJ). The leading predictable precipitation mode is significantly related to one-season-lead SST anomalies in the area of the Kuroshio Current during AMJ-to-JJA, the Indian-western Pacific SST in July–August–September (JAS), and the eastern tropical Pacific SST in MAM and SON. The prolonged linear trends, which are seen in the principal component time series associated with the second or third predictable precipitation modes in MJJ-to-ASO, also serve as a source of predictability for seasonal precipitation over eastern China. The predictive characteristics of the atmospheric circulation–precipitation relationship indicate that the western Pacific subtropical high plays a key role in eastern China precipitation. In addition, teleconnection patterns that are significantly related to the predictable precipitation component are also identified. The leading/second unpredictable precipitation modes from MAM to SON all show a monopole/dipole structure, which are accompanied by wavy circulation patterns that are related to intraseasonal events. |
doi_str_mv | 10.1007/s00382-016-3258-5 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_1891884874</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A550951483</galeid><sourcerecordid>A550951483</sourcerecordid><originalsourceid>FETCH-LOGICAL-c567t-79afba942a69d2cbabb0e14f9c150e91bb99eab6d1b0a833e17c3ff9df3bd9b73</originalsourceid><addsrcrecordid>eNp1kl2r1DAQhoMouK7-AO8KguhFj0nTtM3lYfFj4YDgx3WYpJPdHLvJmqTi-fem1ItdQXIRGJ4nzGReQl4yesMo7d8lSvnQ1JR1NW_EUItHZMNaXiqDbB-TDZWc1r3oxVPyLKV7Slnb9c2G_NiP6LOzD84fqnzE6hxxdCaDnrACP1azv6ycIWeMPlXBVukci1TnUMOc55NfVOPOLkN2wVfhF8YKIS18tTs6D8_JEwtTwhd_7y35_uH9t92n-u7zx_3u9q42outz3UuwGmTbQCfHxmjQmiJrrTRMUJRMaykRdDcyTWHgHFlvuLVytFyPUvd8S96s755j-DljyurkksFpAo9hTooNkg1DO_RtQV_9g96HOfrSXaGGTnIu2oW6WakDTKictyFHMOWMeHImeLSu1G-FoFKwtrS0JW-vhMJk_J0PMKek9l-_XLOvL9gjwpSPKUzz8onpGmQraGJIKaJVZQEniA-KUbWEQK0hUCUEagmBEsVpVmddFsaL-f4r_QGl87UU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1886933544</pqid></control><display><type>article</type><title>Identifying the predictable and unpredictable patterns of spring-to-autumn precipitation over eastern China</title><source>2022 ECC(Springer)</source><creator>Ying, Kairan ; Zheng, Xiaogu ; Zhao, Tianbao ; Frederiksen, Carsten S. ; Quan, Xiao-Wei</creator><creatorcontrib>Ying, Kairan ; Zheng, Xiaogu ; Zhao, Tianbao ; Frederiksen, Carsten S. ; Quan, Xiao-Wei</creatorcontrib><description>The patterns of interannual variability that arise from the slow (potentially predictable) and fast or intraseasonal (unpredictable) components of seasonal mean precipitation over eastern China are examined, based on observations from a network of 106 stations for the period 1951–2004. The analysis is done by using a variance decomposition method that allows identification of the sources of the predictability and the prediction uncertainty, from March–April–May (MAM) to September–October–November (SON). The average potential predictability (ratio of slow-to-total variance) of eastern China precipitation is generally moderate, with the highest value of 0.18 in June–July–August (JJA) and lowest value of 0.12 in April–May–June (AMJ). The leading predictable precipitation mode is significantly related to one-season-lead SST anomalies in the area of the Kuroshio Current during AMJ-to-JJA, the Indian-western Pacific SST in July–August–September (JAS), and the eastern tropical Pacific SST in MAM and SON. The prolonged linear trends, which are seen in the principal component time series associated with the second or third predictable precipitation modes in MJJ-to-ASO, also serve as a source of predictability for seasonal precipitation over eastern China. The predictive characteristics of the atmospheric circulation–precipitation relationship indicate that the western Pacific subtropical high plays a key role in eastern China precipitation. In addition, teleconnection patterns that are significantly related to the predictable precipitation component are also identified. The leading/second unpredictable precipitation modes from MAM to SON all show a monopole/dipole structure, which are accompanied by wavy circulation patterns that are related to intraseasonal events.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-016-3258-5</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Atmospheric circulation ; Autumn ; Climate change ; Climate models ; Climatology ; Earth and Environmental Science ; Earth Sciences ; Geophysics/Geodesy ; Marine ; Meteorology ; Natural history ; Ocean temperature ; Oceanography ; Precipitation ; Precipitation (Meteorology) ; Spring</subject><ispartof>Climate dynamics, 2017-05, Vol.48 (9-10), p.3183-3206</ispartof><rights>Springer-Verlag Berlin Heidelberg 2016</rights><rights>COPYRIGHT 2017 Springer</rights><rights>Climate Dynamics is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c567t-79afba942a69d2cbabb0e14f9c150e91bb99eab6d1b0a833e17c3ff9df3bd9b73</citedby><cites>FETCH-LOGICAL-c567t-79afba942a69d2cbabb0e14f9c150e91bb99eab6d1b0a833e17c3ff9df3bd9b73</cites><orcidid>0000-0002-8295-6537</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00382-016-3258-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-016-3258-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Ying, Kairan</creatorcontrib><creatorcontrib>Zheng, Xiaogu</creatorcontrib><creatorcontrib>Zhao, Tianbao</creatorcontrib><creatorcontrib>Frederiksen, Carsten S.</creatorcontrib><creatorcontrib>Quan, Xiao-Wei</creatorcontrib><title>Identifying the predictable and unpredictable patterns of spring-to-autumn precipitation over eastern China</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>The patterns of interannual variability that arise from the slow (potentially predictable) and fast or intraseasonal (unpredictable) components of seasonal mean precipitation over eastern China are examined, based on observations from a network of 106 stations for the period 1951–2004. The analysis is done by using a variance decomposition method that allows identification of the sources of the predictability and the prediction uncertainty, from March–April–May (MAM) to September–October–November (SON). The average potential predictability (ratio of slow-to-total variance) of eastern China precipitation is generally moderate, with the highest value of 0.18 in June–July–August (JJA) and lowest value of 0.12 in April–May–June (AMJ). The leading predictable precipitation mode is significantly related to one-season-lead SST anomalies in the area of the Kuroshio Current during AMJ-to-JJA, the Indian-western Pacific SST in July–August–September (JAS), and the eastern tropical Pacific SST in MAM and SON. The prolonged linear trends, which are seen in the principal component time series associated with the second or third predictable precipitation modes in MJJ-to-ASO, also serve as a source of predictability for seasonal precipitation over eastern China. The predictive characteristics of the atmospheric circulation–precipitation relationship indicate that the western Pacific subtropical high plays a key role in eastern China precipitation. In addition, teleconnection patterns that are significantly related to the predictable precipitation component are also identified. The leading/second unpredictable precipitation modes from MAM to SON all show a monopole/dipole structure, which are accompanied by wavy circulation patterns that are related to intraseasonal events.</description><subject>Atmospheric circulation</subject><subject>Autumn</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Climatology</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Geophysics/Geodesy</subject><subject>Marine</subject><subject>Meteorology</subject><subject>Natural history</subject><subject>Ocean temperature</subject><subject>Oceanography</subject><subject>Precipitation</subject><subject>Precipitation (Meteorology)</subject><subject>Spring</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kl2r1DAQhoMouK7-AO8KguhFj0nTtM3lYfFj4YDgx3WYpJPdHLvJmqTi-fem1ItdQXIRGJ4nzGReQl4yesMo7d8lSvnQ1JR1NW_EUItHZMNaXiqDbB-TDZWc1r3oxVPyLKV7Slnb9c2G_NiP6LOzD84fqnzE6hxxdCaDnrACP1azv6ycIWeMPlXBVukci1TnUMOc55NfVOPOLkN2wVfhF8YKIS18tTs6D8_JEwtTwhd_7y35_uH9t92n-u7zx_3u9q42outz3UuwGmTbQCfHxmjQmiJrrTRMUJRMaykRdDcyTWHgHFlvuLVytFyPUvd8S96s755j-DljyurkksFpAo9hTooNkg1DO_RtQV_9g96HOfrSXaGGTnIu2oW6WakDTKictyFHMOWMeHImeLSu1G-FoFKwtrS0JW-vhMJk_J0PMKek9l-_XLOvL9gjwpSPKUzz8onpGmQraGJIKaJVZQEniA-KUbWEQK0hUCUEagmBEsVpVmddFsaL-f4r_QGl87UU</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Ying, Kairan</creator><creator>Zheng, Xiaogu</creator><creator>Zhao, Tianbao</creator><creator>Frederiksen, Carsten S.</creator><creator>Quan, Xiao-Wei</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M1Q</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-8295-6537</orcidid></search><sort><creationdate>20170501</creationdate><title>Identifying the predictable and unpredictable patterns of spring-to-autumn precipitation over eastern China</title><author>Ying, Kairan ; Zheng, Xiaogu ; Zhao, Tianbao ; Frederiksen, Carsten S. ; Quan, Xiao-Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c567t-79afba942a69d2cbabb0e14f9c150e91bb99eab6d1b0a833e17c3ff9df3bd9b73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Atmospheric circulation</topic><topic>Autumn</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Climatology</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Geophysics/Geodesy</topic><topic>Marine</topic><topic>Meteorology</topic><topic>Natural history</topic><topic>Ocean temperature</topic><topic>Oceanography</topic><topic>Precipitation</topic><topic>Precipitation (Meteorology)</topic><topic>Spring</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ying, Kairan</creatorcontrib><creatorcontrib>Zheng, Xiaogu</creatorcontrib><creatorcontrib>Zhao, Tianbao</creatorcontrib><creatorcontrib>Frederiksen, Carsten S.</creatorcontrib><creatorcontrib>Quan, Xiao-Wei</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Agriculture & Environmental Science Database</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Military Database (Proquest)</collection><collection>Science Database (ProQuest)</collection><collection>Environmental Science Database</collection><collection>ProQuest Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Climate dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ying, Kairan</au><au>Zheng, Xiaogu</au><au>Zhao, Tianbao</au><au>Frederiksen, Carsten S.</au><au>Quan, Xiao-Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identifying the predictable and unpredictable patterns of spring-to-autumn precipitation over eastern China</atitle><jtitle>Climate dynamics</jtitle><stitle>Clim Dyn</stitle><date>2017-05-01</date><risdate>2017</risdate><volume>48</volume><issue>9-10</issue><spage>3183</spage><epage>3206</epage><pages>3183-3206</pages><issn>0930-7575</issn><eissn>1432-0894</eissn><abstract>The patterns of interannual variability that arise from the slow (potentially predictable) and fast or intraseasonal (unpredictable) components of seasonal mean precipitation over eastern China are examined, based on observations from a network of 106 stations for the period 1951–2004. The analysis is done by using a variance decomposition method that allows identification of the sources of the predictability and the prediction uncertainty, from March–April–May (MAM) to September–October–November (SON). The average potential predictability (ratio of slow-to-total variance) of eastern China precipitation is generally moderate, with the highest value of 0.18 in June–July–August (JJA) and lowest value of 0.12 in April–May–June (AMJ). The leading predictable precipitation mode is significantly related to one-season-lead SST anomalies in the area of the Kuroshio Current during AMJ-to-JJA, the Indian-western Pacific SST in July–August–September (JAS), and the eastern tropical Pacific SST in MAM and SON. The prolonged linear trends, which are seen in the principal component time series associated with the second or third predictable precipitation modes in MJJ-to-ASO, also serve as a source of predictability for seasonal precipitation over eastern China. The predictive characteristics of the atmospheric circulation–precipitation relationship indicate that the western Pacific subtropical high plays a key role in eastern China precipitation. In addition, teleconnection patterns that are significantly related to the predictable precipitation component are also identified. The leading/second unpredictable precipitation modes from MAM to SON all show a monopole/dipole structure, which are accompanied by wavy circulation patterns that are related to intraseasonal events.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-016-3258-5</doi><tpages>24</tpages><orcidid>https://orcid.org/0000-0002-8295-6537</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0930-7575 |
ispartof | Climate dynamics, 2017-05, Vol.48 (9-10), p.3183-3206 |
issn | 0930-7575 1432-0894 |
language | eng |
recordid | cdi_proquest_miscellaneous_1891884874 |
source | 2022 ECC(Springer) |
subjects | Atmospheric circulation Autumn Climate change Climate models Climatology Earth and Environmental Science Earth Sciences Geophysics/Geodesy Marine Meteorology Natural history Ocean temperature Oceanography Precipitation Precipitation (Meteorology) Spring |
title | Identifying the predictable and unpredictable patterns of spring-to-autumn precipitation over eastern China |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T08%3A37%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Identifying%20the%20predictable%20and%20unpredictable%20patterns%20of%20spring-to-autumn%20precipitation%20over%20eastern%20China&rft.jtitle=Climate%20dynamics&rft.au=Ying,%20Kairan&rft.date=2017-05-01&rft.volume=48&rft.issue=9-10&rft.spage=3183&rft.epage=3206&rft.pages=3183-3206&rft.issn=0930-7575&rft.eissn=1432-0894&rft_id=info:doi/10.1007/s00382-016-3258-5&rft_dat=%3Cgale_proqu%3EA550951483%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1886933544&rft_id=info:pmid/&rft_galeid=A550951483&rfr_iscdi=true |