Extended-range forecasting of Chinese summer surface air temperature and heat waves

Because of growing demand from agricultural planning, power management and activity scheduling, extended-range (5–30-day lead) forecasting of summer surface air temperature (SAT) and heat waves over China is carried out in the present study via spatial–temporal projection models (STPMs). Based on th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Climate dynamics 2018-03, Vol.50 (5-6), p.2007-2021
Hauptverfasser: Zhu, Zhiwei, Li, Tim
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2021
container_issue 5-6
container_start_page 2007
container_title Climate dynamics
container_volume 50
creator Zhu, Zhiwei
Li, Tim
description Because of growing demand from agricultural planning, power management and activity scheduling, extended-range (5–30-day lead) forecasting of summer surface air temperature (SAT) and heat waves over China is carried out in the present study via spatial–temporal projection models (STPMs). Based on the training data during 1960–1999, the predictability sources are found to propagate from Europe, Northeast Asia, and the tropical Pacific, to influence the intraseasonal 10–80 day SAT over China. STPMs are therefore constructed using the projection domains, which are determined by these previous predictability sources. For the independent forecast period (2000–2013), the STPMs can reproduce EOF-filtered 30–80 day SAT at all lead times of 5–30 days over most part of China, and observed 30–80 and 10–80 day SAT at 25–30 days over eastern China. Significant pattern correlation coefficients account for more than 50% of total forecasts at all 5–30-day lead times against EOF-filtered and observed 30–80 day SAT, and at a 20-day lead time against observed 10–80 day SAT. The STPMs perform poorly in reproducing 10–30 day SAT. Forecasting for the first two modes of 10–30 day SAT only shows useful skill within a 15-day lead time. Forecasting for the third mode of 10–30 day SAT is useless after a 10-day lead time. The forecasted heat waves over China are determined by the reconstructed SAT which is the summation of the forecasted 10–80 day SAT and the lower frequency (longer than 80-day) climatological SAT. Over a large part of China, the STPMs can forecast more than 30% of heat waves within a 15-day lead time. In general, the STPMs demonstrate the promising skill for extended-range forecasting of Chinese summer SAT and heat waves.
doi_str_mv 10.1007/s00382-017-3733-7
format Article
fullrecord <record><control><sourceid>gale_cross</sourceid><recordid>TN_cdi_gale_infotracacademiconefile_A529770275</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A529770275</galeid><sourcerecordid>A529770275</sourcerecordid><originalsourceid>FETCH-LOGICAL-c392t-8690af99a4870d8bdea211e8d1b5d1afe3d8c54e9e7797c8d75c5efdd28bfa433</originalsourceid><addsrcrecordid>eNp9kU1LAzEQhoMoWD9-gLc9CR62JpvdJjlK8QsKgh_nME0m7ZZutiRZrf_elHqwF8lhyPA8AzMvIVeMjhml4jZSymVVUiZKLjgvxREZsZrnjlT1MRlRxWkpGtGckrMYV5SyeiKqEXm73yb0Fm0ZwC-wcH1AAzG1flH0rpguW48Rizh0HYZcggODBbShSNhtMEAaQv57WywRUvEFnxgvyImDdcTL33pOPh7u36dP5ezl8Xl6NysNV1Uq5URRcEpBLQW1cm4RKsZQWjZvLAOH3ErT1KhQCCWMtKIxDTprKzl3UHN-Tsb7uQtYo26961MAk5_FrjW9R9fm_l1TKSFoJZos3BwImUm4TQsYYtTPb6-H7PUfNi-3TsvYr4fU9j4egmwPmtDHGNDpTWg7CN-aUb3LRu-z0TkbvctGi-xUeydmNp896FU_BJ-P9Y_0A2EYkWY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Extended-range forecasting of Chinese summer surface air temperature and heat waves</title><source>SpringerLink Journals</source><creator>Zhu, Zhiwei ; Li, Tim</creator><creatorcontrib>Zhu, Zhiwei ; Li, Tim</creatorcontrib><description>Because of growing demand from agricultural planning, power management and activity scheduling, extended-range (5–30-day lead) forecasting of summer surface air temperature (SAT) and heat waves over China is carried out in the present study via spatial–temporal projection models (STPMs). Based on the training data during 1960–1999, the predictability sources are found to propagate from Europe, Northeast Asia, and the tropical Pacific, to influence the intraseasonal 10–80 day SAT over China. STPMs are therefore constructed using the projection domains, which are determined by these previous predictability sources. For the independent forecast period (2000–2013), the STPMs can reproduce EOF-filtered 30–80 day SAT at all lead times of 5–30 days over most part of China, and observed 30–80 and 10–80 day SAT at 25–30 days over eastern China. Significant pattern correlation coefficients account for more than 50% of total forecasts at all 5–30-day lead times against EOF-filtered and observed 30–80 day SAT, and at a 20-day lead time against observed 10–80 day SAT. The STPMs perform poorly in reproducing 10–30 day SAT. Forecasting for the first two modes of 10–30 day SAT only shows useful skill within a 15-day lead time. Forecasting for the third mode of 10–30 day SAT is useless after a 10-day lead time. The forecasted heat waves over China are determined by the reconstructed SAT which is the summation of the forecasted 10–80 day SAT and the lower frequency (longer than 80-day) climatological SAT. Over a large part of China, the STPMs can forecast more than 30% of heat waves within a 15-day lead time. In general, the STPMs demonstrate the promising skill for extended-range forecasting of Chinese summer SAT and heat waves.</description><identifier>ISSN: 0930-7575</identifier><identifier>EISSN: 1432-0894</identifier><identifier>DOI: 10.1007/s00382-017-3733-7</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Atmospheric temperature ; Climatology ; Earth and Environmental Science ; Earth Sciences ; Environmental aspects ; Forecasts and trends ; Geophysics/Geodesy ; Hot weather ; Measurement ; Oceanography ; Summer</subject><ispartof>Climate dynamics, 2018-03, Vol.50 (5-6), p.2007-2021</ispartof><rights>Springer-Verlag Berlin Heidelberg 2017</rights><rights>COPYRIGHT 2018 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c392t-8690af99a4870d8bdea211e8d1b5d1afe3d8c54e9e7797c8d75c5efdd28bfa433</citedby><cites>FETCH-LOGICAL-c392t-8690af99a4870d8bdea211e8d1b5d1afe3d8c54e9e7797c8d75c5efdd28bfa433</cites><orcidid>0000-0002-4885-1299</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/s00382-017-3733-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00382-017-3733-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Zhu, Zhiwei</creatorcontrib><creatorcontrib>Li, Tim</creatorcontrib><title>Extended-range forecasting of Chinese summer surface air temperature and heat waves</title><title>Climate dynamics</title><addtitle>Clim Dyn</addtitle><description>Because of growing demand from agricultural planning, power management and activity scheduling, extended-range (5–30-day lead) forecasting of summer surface air temperature (SAT) and heat waves over China is carried out in the present study via spatial–temporal projection models (STPMs). Based on the training data during 1960–1999, the predictability sources are found to propagate from Europe, Northeast Asia, and the tropical Pacific, to influence the intraseasonal 10–80 day SAT over China. STPMs are therefore constructed using the projection domains, which are determined by these previous predictability sources. For the independent forecast period (2000–2013), the STPMs can reproduce EOF-filtered 30–80 day SAT at all lead times of 5–30 days over most part of China, and observed 30–80 and 10–80 day SAT at 25–30 days over eastern China. Significant pattern correlation coefficients account for more than 50% of total forecasts at all 5–30-day lead times against EOF-filtered and observed 30–80 day SAT, and at a 20-day lead time against observed 10–80 day SAT. The STPMs perform poorly in reproducing 10–30 day SAT. Forecasting for the first two modes of 10–30 day SAT only shows useful skill within a 15-day lead time. Forecasting for the third mode of 10–30 day SAT is useless after a 10-day lead time. The forecasted heat waves over China are determined by the reconstructed SAT which is the summation of the forecasted 10–80 day SAT and the lower frequency (longer than 80-day) climatological SAT. Over a large part of China, the STPMs can forecast more than 30% of heat waves within a 15-day lead time. In general, the STPMs demonstrate the promising skill for extended-range forecasting of Chinese summer SAT and heat waves.</description><subject>Atmospheric temperature</subject><subject>Climatology</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental aspects</subject><subject>Forecasts and trends</subject><subject>Geophysics/Geodesy</subject><subject>Hot weather</subject><subject>Measurement</subject><subject>Oceanography</subject><subject>Summer</subject><issn>0930-7575</issn><issn>1432-0894</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kU1LAzEQhoMoWD9-gLc9CR62JpvdJjlK8QsKgh_nME0m7ZZutiRZrf_elHqwF8lhyPA8AzMvIVeMjhml4jZSymVVUiZKLjgvxREZsZrnjlT1MRlRxWkpGtGckrMYV5SyeiKqEXm73yb0Fm0ZwC-wcH1AAzG1flH0rpguW48Rizh0HYZcggODBbShSNhtMEAaQv57WywRUvEFnxgvyImDdcTL33pOPh7u36dP5ezl8Xl6NysNV1Uq5URRcEpBLQW1cm4RKsZQWjZvLAOH3ErT1KhQCCWMtKIxDTprKzl3UHN-Tsb7uQtYo26961MAk5_FrjW9R9fm_l1TKSFoJZos3BwImUm4TQsYYtTPb6-H7PUfNi-3TsvYr4fU9j4egmwPmtDHGNDpTWg7CN-aUb3LRu-z0TkbvctGi-xUeydmNp896FU_BJ-P9Y_0A2EYkWY</recordid><startdate>20180301</startdate><enddate>20180301</enddate><creator>Zhu, Zhiwei</creator><creator>Li, Tim</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><orcidid>https://orcid.org/0000-0002-4885-1299</orcidid></search><sort><creationdate>20180301</creationdate><title>Extended-range forecasting of Chinese summer surface air temperature and heat waves</title><author>Zhu, Zhiwei ; Li, Tim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c392t-8690af99a4870d8bdea211e8d1b5d1afe3d8c54e9e7797c8d75c5efdd28bfa433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Atmospheric temperature</topic><topic>Climatology</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental aspects</topic><topic>Forecasts and trends</topic><topic>Geophysics/Geodesy</topic><topic>Hot weather</topic><topic>Measurement</topic><topic>Oceanography</topic><topic>Summer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Zhiwei</creatorcontrib><creatorcontrib>Li, Tim</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><jtitle>Climate dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Zhiwei</au><au>Li, Tim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Extended-range forecasting of Chinese summer surface air temperature and heat waves</atitle><jtitle>Climate dynamics</jtitle><stitle>Clim Dyn</stitle><date>2018-03-01</date><risdate>2018</risdate><volume>50</volume><issue>5-6</issue><spage>2007</spage><epage>2021</epage><pages>2007-2021</pages><issn>0930-7575</issn><eissn>1432-0894</eissn><abstract>Because of growing demand from agricultural planning, power management and activity scheduling, extended-range (5–30-day lead) forecasting of summer surface air temperature (SAT) and heat waves over China is carried out in the present study via spatial–temporal projection models (STPMs). Based on the training data during 1960–1999, the predictability sources are found to propagate from Europe, Northeast Asia, and the tropical Pacific, to influence the intraseasonal 10–80 day SAT over China. STPMs are therefore constructed using the projection domains, which are determined by these previous predictability sources. For the independent forecast period (2000–2013), the STPMs can reproduce EOF-filtered 30–80 day SAT at all lead times of 5–30 days over most part of China, and observed 30–80 and 10–80 day SAT at 25–30 days over eastern China. Significant pattern correlation coefficients account for more than 50% of total forecasts at all 5–30-day lead times against EOF-filtered and observed 30–80 day SAT, and at a 20-day lead time against observed 10–80 day SAT. The STPMs perform poorly in reproducing 10–30 day SAT. Forecasting for the first two modes of 10–30 day SAT only shows useful skill within a 15-day lead time. Forecasting for the third mode of 10–30 day SAT is useless after a 10-day lead time. The forecasted heat waves over China are determined by the reconstructed SAT which is the summation of the forecasted 10–80 day SAT and the lower frequency (longer than 80-day) climatological SAT. Over a large part of China, the STPMs can forecast more than 30% of heat waves within a 15-day lead time. In general, the STPMs demonstrate the promising skill for extended-range forecasting of Chinese summer SAT and heat waves.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00382-017-3733-7</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-4885-1299</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0930-7575
ispartof Climate dynamics, 2018-03, Vol.50 (5-6), p.2007-2021
issn 0930-7575
1432-0894
language eng
recordid cdi_gale_infotracacademiconefile_A529770275
source SpringerLink Journals
subjects Atmospheric temperature
Climatology
Earth and Environmental Science
Earth Sciences
Environmental aspects
Forecasts and trends
Geophysics/Geodesy
Hot weather
Measurement
Oceanography
Summer
title Extended-range forecasting of Chinese summer surface air temperature and heat waves
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T04%3A43%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Extended-range%20forecasting%20of%20Chinese%20summer%20surface%20air%20temperature%20and%20heat%20waves&rft.jtitle=Climate%20dynamics&rft.au=Zhu,%20Zhiwei&rft.date=2018-03-01&rft.volume=50&rft.issue=5-6&rft.spage=2007&rft.epage=2021&rft.pages=2007-2021&rft.issn=0930-7575&rft.eissn=1432-0894&rft_id=info:doi/10.1007/s00382-017-3733-7&rft_dat=%3Cgale_cross%3EA529770275%3C/gale_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_galeid=A529770275&rfr_iscdi=true