April–June precipitation reconstruction for Xi'an and drought assessment for the Guanzhong Plain from tree rings of Chinese pine
Variations in earlywood width (EWW) of Chinese pine in the Nanwutai Mountain were used to develop high-resolution climate proxy data to extend existing climate records in Guanzhong Plain, Shaanxi Province, China. Growth–climate response analyses showed the EWW series in Nanwutai Mountain are mainly...
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Veröffentlicht in: | Journal of water and climate change 2015-09, Vol.6 (3), p.638-646 |
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description | Variations in earlywood width (EWW) of Chinese pine in the Nanwutai Mountain were used to develop high-resolution climate proxy data to extend existing climate records in Guanzhong Plain, Shaanxi Province, China. Growth–climate response analyses showed the EWW series in Nanwutai Mountain are mainly influenced by spring and early summer precipitation. Based on the EWW series derived from the Nanwutai Mountain, we developed an April–June precipitation reconstruction for Xi'an for the period 1800–2009. The climate/tree-growth model accounts for 36.4% of the instrumental precipitation variance during the period 1951–2009. Spatial climate correlation analyses with the gridded precipitation data revealed that our precipitation reconstruction contains a strong regional precipitation signal for the Guanzhong Plain. Our reconstruction successfully captured recent climatic changes and agreed, in general, with other tree-ring-based precipitation reconstructions from nearby regions on a decadal timescale. The rainfall/drought series in northern China also showed highly synchronous decreasing trends since the 1970s, suggesting that precipitation related to the East Asian summer monsoon has decreased by large spatial and temporal (decadal) scales. In addition, wavelet analysis revealed the existence of some decadal (13.3-year) and interannual (9.1-, 5.4-, 3.1-, and 2.1-year) cycles, which may potentially be the fingerprints of some proposed climate change forcings, such as El Niño-Southern Oscillation and solar activities. |
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Growth–climate response analyses showed the EWW series in Nanwutai Mountain are mainly influenced by spring and early summer precipitation. Based on the EWW series derived from the Nanwutai Mountain, we developed an April–June precipitation reconstruction for Xi'an for the period 1800–2009. The climate/tree-growth model accounts for 36.4% of the instrumental precipitation variance during the period 1951–2009. Spatial climate correlation analyses with the gridded precipitation data revealed that our precipitation reconstruction contains a strong regional precipitation signal for the Guanzhong Plain. Our reconstruction successfully captured recent climatic changes and agreed, in general, with other tree-ring-based precipitation reconstructions from nearby regions on a decadal timescale. The rainfall/drought series in northern China also showed highly synchronous decreasing trends since the 1970s, suggesting that precipitation related to the East Asian summer monsoon has decreased by large spatial and temporal (decadal) scales. In addition, wavelet analysis revealed the existence of some decadal (13.3-year) and interannual (9.1-, 5.4-, 3.1-, and 2.1-year) cycles, which may potentially be the fingerprints of some proposed climate change forcings, such as El Niño-Southern Oscillation and solar activities.</description><identifier>ISSN: 2040-2244</identifier><identifier>EISSN: 2408-9354</identifier><identifier>DOI: 10.2166/wcc.2014.245</identifier><language>eng</language><publisher>London: IWA Publishing</publisher><subject>Atmospheric precipitations ; Climate change ; Climate models ; Climatic analysis ; Correlation analysis ; Drought ; East Asian monsoon ; El Nino ; El Nino phenomena ; El Nino-Southern Oscillation event ; Fingerprints ; High resolution ; Hydrologic data ; Pine ; Precipitation ; Precipitation data ; Rain ; Rainfall ; Reconstruction ; Solar oscillations ; Southern Oscillation ; Spatial analysis ; Studies ; Summer ; Summer monsoon ; Summer precipitation ; Time series ; Tree rings ; Trees ; Variance analysis ; Wavelet analysis ; Wheat ; Wind</subject><ispartof>Journal of water and climate change, 2015-09, Vol.6 (3), p.638-646</ispartof><rights>Copyright IWA Publishing Sep 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c296t-f79a623e6b029a5b213abaea5d20457a44d307e7e5928d65bf00be216ef8b2d33</citedby><cites>FETCH-LOGICAL-c296t-f79a623e6b029a5b213abaea5d20457a44d307e7e5928d65bf00be216ef8b2d33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Chen, Feng</creatorcontrib><creatorcontrib>Yuan, Yujiang</creatorcontrib><creatorcontrib>Wei, Wenshou</creatorcontrib><creatorcontrib>Fan, Ziang</creatorcontrib><creatorcontrib>Zhang, Ruibo</creatorcontrib><creatorcontrib>Yu, Shulong</creatorcontrib><title>April–June precipitation reconstruction for Xi'an and drought assessment for the Guanzhong Plain from tree rings of Chinese pine</title><title>Journal of water and climate change</title><description>Variations in earlywood width (EWW) of Chinese pine in the Nanwutai Mountain were used to develop high-resolution climate proxy data to extend existing climate records in Guanzhong Plain, Shaanxi Province, China. Growth–climate response analyses showed the EWW series in Nanwutai Mountain are mainly influenced by spring and early summer precipitation. Based on the EWW series derived from the Nanwutai Mountain, we developed an April–June precipitation reconstruction for Xi'an for the period 1800–2009. The climate/tree-growth model accounts for 36.4% of the instrumental precipitation variance during the period 1951–2009. Spatial climate correlation analyses with the gridded precipitation data revealed that our precipitation reconstruction contains a strong regional precipitation signal for the Guanzhong Plain. Our reconstruction successfully captured recent climatic changes and agreed, in general, with other tree-ring-based precipitation reconstructions from nearby regions on a decadal timescale. The rainfall/drought series in northern China also showed highly synchronous decreasing trends since the 1970s, suggesting that precipitation related to the East Asian summer monsoon has decreased by large spatial and temporal (decadal) scales. In addition, wavelet analysis revealed the existence of some decadal (13.3-year) and interannual (9.1-, 5.4-, 3.1-, and 2.1-year) cycles, which may potentially be the fingerprints of some proposed climate change forcings, such as El Niño-Southern Oscillation and solar activities.</description><subject>Atmospheric precipitations</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Climatic analysis</subject><subject>Correlation analysis</subject><subject>Drought</subject><subject>East Asian monsoon</subject><subject>El Nino</subject><subject>El Nino phenomena</subject><subject>El Nino-Southern Oscillation event</subject><subject>Fingerprints</subject><subject>High resolution</subject><subject>Hydrologic data</subject><subject>Pine</subject><subject>Precipitation</subject><subject>Precipitation data</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Reconstruction</subject><subject>Solar oscillations</subject><subject>Southern Oscillation</subject><subject>Spatial analysis</subject><subject>Studies</subject><subject>Summer</subject><subject>Summer monsoon</subject><subject>Summer precipitation</subject><subject>Time series</subject><subject>Tree rings</subject><subject>Trees</subject><subject>Variance analysis</subject><subject>Wavelet analysis</subject><subject>Wheat</subject><subject>Wind</subject><issn>2040-2244</issn><issn>2408-9354</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdUc1KAzEQDqJgqb35AAEPenBrfne7x1L8RdCDgreQ3Z1tU7ZJTbKInsRX8A19EtPWk8PAzMA3f9-H0DElY0bz_OKtrseMUDFmQu6hARNkkpVciv2UE0EyxoQ4RKMQliSZlCUnkwH6mq696X4-v-96C3jtoTZrE3U0zuJUOBui7-tt2TqPX8yptljbBjfe9fNFxDoECGEFNm4BcQH4utf2Y-HsHD922qRG71Y4egDsjZ0H7Fo8WxgLIS1M4QgdtLoLMPqLQ_R8dfk0u8nuH65vZ9P7rGZlHrO2KHXOOOQVYaWWFaNcVxq0bNJ7stBCNJwUUIAs2aTJZdUSUkGiBtpJxRrOh-hsN3ft3WsPIaqVCTV0nbbg-qBowRgtSk5pgp78gy5d7226TtENb6XgyYfofIeqvQvBQ6sSlyvt3xUlaqOJSpqojSYqacJ_AWTJgWo</recordid><startdate>20150901</startdate><enddate>20150901</enddate><creator>Chen, Feng</creator><creator>Yuan, Yujiang</creator><creator>Wei, Wenshou</creator><creator>Fan, Ziang</creator><creator>Zhang, Ruibo</creator><creator>Yu, Shulong</creator><general>IWA Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</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>H97</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7ST</scope><scope>7U6</scope></search><sort><creationdate>20150901</creationdate><title>April–June precipitation reconstruction for Xi'an and drought assessment for the Guanzhong Plain from tree rings of Chinese pine</title><author>Chen, Feng ; Yuan, Yujiang ; Wei, Wenshou ; Fan, Ziang ; Zhang, Ruibo ; Yu, Shulong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c296t-f79a623e6b029a5b213abaea5d20457a44d307e7e5928d65bf00be216ef8b2d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Atmospheric precipitations</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Climatic analysis</topic><topic>Correlation analysis</topic><topic>Drought</topic><topic>East Asian monsoon</topic><topic>El Nino</topic><topic>El Nino phenomena</topic><topic>El Nino-Southern Oscillation event</topic><topic>Fingerprints</topic><topic>High resolution</topic><topic>Hydrologic data</topic><topic>Pine</topic><topic>Precipitation</topic><topic>Precipitation data</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Reconstruction</topic><topic>Solar oscillations</topic><topic>Southern Oscillation</topic><topic>Spatial analysis</topic><topic>Studies</topic><topic>Summer</topic><topic>Summer monsoon</topic><topic>Summer precipitation</topic><topic>Time series</topic><topic>Tree rings</topic><topic>Trees</topic><topic>Variance analysis</topic><topic>Wavelet analysis</topic><topic>Wheat</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Feng</creatorcontrib><creatorcontrib>Yuan, Yujiang</creatorcontrib><creatorcontrib>Wei, Wenshou</creatorcontrib><creatorcontrib>Fan, Ziang</creatorcontrib><creatorcontrib>Zhang, Ruibo</creatorcontrib><creatorcontrib>Yu, Shulong</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</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>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) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</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>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><jtitle>Journal of water and climate change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Feng</au><au>Yuan, Yujiang</au><au>Wei, Wenshou</au><au>Fan, Ziang</au><au>Zhang, Ruibo</au><au>Yu, Shulong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>April–June precipitation reconstruction for Xi'an and drought assessment for the Guanzhong Plain from tree rings of Chinese pine</atitle><jtitle>Journal of water and climate change</jtitle><date>2015-09-01</date><risdate>2015</risdate><volume>6</volume><issue>3</issue><spage>638</spage><epage>646</epage><pages>638-646</pages><issn>2040-2244</issn><eissn>2408-9354</eissn><abstract>Variations in earlywood width (EWW) of Chinese pine in the Nanwutai Mountain were used to develop high-resolution climate proxy data to extend existing climate records in Guanzhong Plain, Shaanxi Province, China. Growth–climate response analyses showed the EWW series in Nanwutai Mountain are mainly influenced by spring and early summer precipitation. Based on the EWW series derived from the Nanwutai Mountain, we developed an April–June precipitation reconstruction for Xi'an for the period 1800–2009. The climate/tree-growth model accounts for 36.4% of the instrumental precipitation variance during the period 1951–2009. Spatial climate correlation analyses with the gridded precipitation data revealed that our precipitation reconstruction contains a strong regional precipitation signal for the Guanzhong Plain. Our reconstruction successfully captured recent climatic changes and agreed, in general, with other tree-ring-based precipitation reconstructions from nearby regions on a decadal timescale. The rainfall/drought series in northern China also showed highly synchronous decreasing trends since the 1970s, suggesting that precipitation related to the East Asian summer monsoon has decreased by large spatial and temporal (decadal) scales. In addition, wavelet analysis revealed the existence of some decadal (13.3-year) and interannual (9.1-, 5.4-, 3.1-, and 2.1-year) cycles, which may potentially be the fingerprints of some proposed climate change forcings, such as El Niño-Southern Oscillation and solar activities.</abstract><cop>London</cop><pub>IWA Publishing</pub><doi>10.2166/wcc.2014.245</doi><tpages>9</tpages></addata></record> |
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subjects | Atmospheric precipitations Climate change Climate models Climatic analysis Correlation analysis Drought East Asian monsoon El Nino El Nino phenomena El Nino-Southern Oscillation event Fingerprints High resolution Hydrologic data Pine Precipitation Precipitation data Rain Rainfall Reconstruction Solar oscillations Southern Oscillation Spatial analysis Studies Summer Summer monsoon Summer precipitation Time series Tree rings Trees Variance analysis Wavelet analysis Wheat Wind |
title | April–June precipitation reconstruction for Xi'an and drought assessment for the Guanzhong Plain from tree rings of Chinese pine |
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