Homogenization and Trend Analysis of the 1958–2016 In Situ Surface Solar Radiation Records in China
This paper presents a method to homogenize China’s surface solar radiation (SSR) data and uses the resulting homogenized SSR data to assess the SSR trend over the period 1958–2016. Neighboring surface sunshine duration (SSD) data are used as reference data to assess the SSR data homogeneity. A princ...
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Veröffentlicht in: | Journal of climate 2018-06, Vol.31 (11), p.4529-4541 |
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description | This paper presents a method to homogenize China’s surface solar radiation (SSR) data and uses the resulting homogenized SSR data to assess the SSR trend over the period 1958–2016. Neighboring surface sunshine duration (SSD) data are used as reference data to assess the SSR data homogeneity. A principal component analysis is applied to build a reference series, which is proven to be less sensitive to occasional data issues than using the arithmetic mean of data from adjacent stations. A relative or absolute test is applied to detect changepoints, depending on whether or not a suitable reference series is available. A quantile-matching method is used to adjust the data to diminish the inhomogeneities. As a result, 60 out of the 119 SSR stations were found to have inhomogeneity issues. These were mainly caused by changes in instrument and observation schedule. The nonclimatic changes exaggerated the SSR change rates in 1991–93 and resulted in a sudden rise in the national average SSR series, causing an unrealistically drastic trend reversal in the 1990s. This was diminished by the data homogenization. The homogenized data show that the national average SSR has been declining significantly over the period 1958–90; this dimming trend mostly diminished over the period 1991–2005 and was replaced by a brightening trend in the recent decade. From the homogenized SSR data, the 1958–90 and 1958–2005 dimming rate is estimated to be −6.13 ± 0.47 and −5.08 ± 0.27 W m−2 decade−1, respectively, and the 2005–16 brightening rate is 6.13 ± 1.77 W m−2 decade−1. |
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Neighboring surface sunshine duration (SSD) data are used as reference data to assess the SSR data homogeneity. A principal component analysis is applied to build a reference series, which is proven to be less sensitive to occasional data issues than using the arithmetic mean of data from adjacent stations. A relative or absolute test is applied to detect changepoints, depending on whether or not a suitable reference series is available. A quantile-matching method is used to adjust the data to diminish the inhomogeneities. As a result, 60 out of the 119 SSR stations were found to have inhomogeneity issues. These were mainly caused by changes in instrument and observation schedule. The nonclimatic changes exaggerated the SSR change rates in 1991–93 and resulted in a sudden rise in the national average SSR series, causing an unrealistically drastic trend reversal in the 1990s. This was diminished by the data homogenization. The homogenized data show that the national average SSR has been declining significantly over the period 1958–90; this dimming trend mostly diminished over the period 1991–2005 and was replaced by a brightening trend in the recent decade. From the homogenized SSR data, the 1958–90 and 1958–2005 dimming rate is estimated to be −6.13 ± 0.47 and −5.08 ± 0.27 W m−2 decade−1, respectively, and the 2005–16 brightening rate is 6.13 ± 1.77 W m−2 decade−1.</description><identifier>ISSN: 0894-8755</identifier><identifier>EISSN: 1520-0442</identifier><identifier>DOI: 10.1175/jcli-d-17-0891.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Archives & records ; Brightening ; Change detection ; Climate change ; Data ; Datasets ; Dimming ; Duration ; Energy ; Homogenization ; Inhomogeneity ; Methods ; Principal components analysis ; Solar radiation ; Stations ; Sunshine duration ; Trend analysis ; Trends</subject><ispartof>Journal of climate, 2018-06, Vol.31 (11), p.4529-4541</ispartof><rights>2018 American Meteorological Society</rights><rights>Copyright American Meteorological Society Jun 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-348ee99d76a9febafa3bdc35d1b09ad4bdad23a1c3c9912263fdf123d2b109ca3</citedby><cites>FETCH-LOGICAL-c448t-348ee99d76a9febafa3bdc35d1b09ad4bdad23a1c3c9912263fdf123d2b109ca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26496166$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26496166$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,3672,27915,27916,58008,58241</link.rule.ids></links><search><creatorcontrib>Yang, Su</creatorcontrib><creatorcontrib>Wang, Xiaolan L.</creatorcontrib><creatorcontrib>Wild, Martin</creatorcontrib><title>Homogenization and Trend Analysis of the 1958–2016 In Situ Surface Solar Radiation Records in China</title><title>Journal of climate</title><description>This paper presents a method to homogenize China’s surface solar radiation (SSR) data and uses the resulting homogenized SSR data to assess the SSR trend over the period 1958–2016. Neighboring surface sunshine duration (SSD) data are used as reference data to assess the SSR data homogeneity. A principal component analysis is applied to build a reference series, which is proven to be less sensitive to occasional data issues than using the arithmetic mean of data from adjacent stations. A relative or absolute test is applied to detect changepoints, depending on whether or not a suitable reference series is available. A quantile-matching method is used to adjust the data to diminish the inhomogeneities. As a result, 60 out of the 119 SSR stations were found to have inhomogeneity issues. These were mainly caused by changes in instrument and observation schedule. The nonclimatic changes exaggerated the SSR change rates in 1991–93 and resulted in a sudden rise in the national average SSR series, causing an unrealistically drastic trend reversal in the 1990s. This was diminished by the data homogenization. The homogenized data show that the national average SSR has been declining significantly over the period 1958–90; this dimming trend mostly diminished over the period 1991–2005 and was replaced by a brightening trend in the recent decade. From the homogenized SSR data, the 1958–90 and 1958–2005 dimming rate is estimated to be −6.13 ± 0.47 and −5.08 ± 0.27 W m−2 decade−1, respectively, and the 2005–16 brightening rate is 6.13 ± 1.77 W m−2 decade−1.</description><subject>Archives & records</subject><subject>Brightening</subject><subject>Change detection</subject><subject>Climate change</subject><subject>Data</subject><subject>Datasets</subject><subject>Dimming</subject><subject>Duration</subject><subject>Energy</subject><subject>Homogenization</subject><subject>Inhomogeneity</subject><subject>Methods</subject><subject>Principal components analysis</subject><subject>Solar radiation</subject><subject>Stations</subject><subject>Sunshine duration</subject><subject>Trend analysis</subject><subject>Trends</subject><issn>0894-8755</issn><issn>1520-0442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNo9kMtKAzEUhoMoWKt7N0LA9dScZG5ZlvHSSkFo6zpkkozNMJ1oMrOoK9_BN_RJnDLi5hw4fP8P50PoGsgMIEvuatXYSEeQRSTnMIMTNIGEkojEMT1Fk-EYR3mWJOfoIoSaEKApIRNkFm7v3kxrP2VnXYtlq_HWm2HOW9kcgg3YVbjbGQw8yX--vimBFC9bvLFdjze9r6QyeOMa6fFaaju2rI1yXgdsW1zsbCsv0Vklm2Cu_vYUvT4-bItFtHp5WhbzVaTiOO8iFufGcK6zVPLKlLKSrNSKJRpKwqWOSy01ZRIUU5wDpSmrdAWUaVoC4UqyKbode9-9--hN6ETtej88EgQdLPEcMpYNFBkp5V0I3lTi3du99AcBRBxliuditRT3AjJxlClgiNyMkTp0zv_zNI15CmnKfgH2mHI2</recordid><startdate>20180601</startdate><enddate>20180601</enddate><creator>Yang, Su</creator><creator>Wang, Xiaolan L.</creator><creator>Wild, Martin</creator><general>American Meteorological Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>7X2</scope><scope>7XB</scope><scope>88F</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M0K</scope><scope>M1Q</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20180601</creationdate><title>Homogenization and Trend Analysis of the 1958–2016 In Situ Surface Solar Radiation Records in China</title><author>Yang, Su ; Wang, Xiaolan L. ; Wild, Martin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-348ee99d76a9febafa3bdc35d1b09ad4bdad23a1c3c9912263fdf123d2b109ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Archives & records</topic><topic>Brightening</topic><topic>Change detection</topic><topic>Climate change</topic><topic>Data</topic><topic>Datasets</topic><topic>Dimming</topic><topic>Duration</topic><topic>Energy</topic><topic>Homogenization</topic><topic>Inhomogeneity</topic><topic>Methods</topic><topic>Principal components analysis</topic><topic>Solar radiation</topic><topic>Stations</topic><topic>Sunshine duration</topic><topic>Trend analysis</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Su</creatorcontrib><creatorcontrib>Wang, Xiaolan L.</creatorcontrib><creatorcontrib>Wild, Martin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Military Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</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>Agricultural Science Database</collection><collection>Military Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>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><collection>SIRS Editorial</collection><jtitle>Journal of climate</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Su</au><au>Wang, Xiaolan L.</au><au>Wild, Martin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Homogenization and Trend Analysis of the 1958–2016 In Situ Surface Solar Radiation Records in China</atitle><jtitle>Journal of climate</jtitle><date>2018-06-01</date><risdate>2018</risdate><volume>31</volume><issue>11</issue><spage>4529</spage><epage>4541</epage><pages>4529-4541</pages><issn>0894-8755</issn><eissn>1520-0442</eissn><abstract>This paper presents a method to homogenize China’s surface solar radiation (SSR) data and uses the resulting homogenized SSR data to assess the SSR trend over the period 1958–2016. Neighboring surface sunshine duration (SSD) data are used as reference data to assess the SSR data homogeneity. A principal component analysis is applied to build a reference series, which is proven to be less sensitive to occasional data issues than using the arithmetic mean of data from adjacent stations. A relative or absolute test is applied to detect changepoints, depending on whether or not a suitable reference series is available. A quantile-matching method is used to adjust the data to diminish the inhomogeneities. As a result, 60 out of the 119 SSR stations were found to have inhomogeneity issues. These were mainly caused by changes in instrument and observation schedule. The nonclimatic changes exaggerated the SSR change rates in 1991–93 and resulted in a sudden rise in the national average SSR series, causing an unrealistically drastic trend reversal in the 1990s. This was diminished by the data homogenization. The homogenized data show that the national average SSR has been declining significantly over the period 1958–90; this dimming trend mostly diminished over the period 1991–2005 and was replaced by a brightening trend in the recent decade. From the homogenized SSR data, the 1958–90 and 1958–2005 dimming rate is estimated to be −6.13 ± 0.47 and −5.08 ± 0.27 W m−2 decade−1, respectively, and the 2005–16 brightening rate is 6.13 ± 1.77 W m−2 decade−1.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/jcli-d-17-0891.1</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Archives & records Brightening Change detection Climate change Data Datasets Dimming Duration Energy Homogenization Inhomogeneity Methods Principal components analysis Solar radiation Stations Sunshine duration Trend analysis Trends |
title | Homogenization and Trend Analysis of the 1958–2016 In Situ Surface Solar Radiation Records in China |
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