Analysis of the Winter Cloud-to-Ground Lightning Activity and Its Synoptic Background in China during 2010–20
Cloud-to-ground (CG) lightning data and the ECMWF ERA-Interim reanalysis dataset are analyzed to gain insight into the spatiotemporal distribution and synoptic background of winter-season CG flashes between December 2010 and February 2020 in China. We identify three Winter Lightning Frequent Areas (...
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Veröffentlicht in: | Advances in atmospheric sciences 2022-06, Vol.39 (6), p.985-998 |
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description | Cloud-to-ground (CG) lightning data and the ECMWF ERA-Interim reanalysis dataset are analyzed to gain insight into the spatiotemporal distribution and synoptic background of winter-season CG flashes between December 2010 and February 2020 in China. We identify three Winter Lightning Frequent Areas (WLAs): the southwest side of the Yunnan-Guizhou Plateau (WLA1), the east side of the Yunnan-Guizhou Plateau (WLA2), and the Poyang Lake Plain (WLA3). The CG lightning flashes most frequently occur at local midnight and have a monthly peak in February. The CG lightning in WLA1 is mostly generated in non-frontal weather; however, the lightning in WLA2 and WLA3 mostly occurs in frontal systems. The frontal circulation situation is divided into four typical types: transversal trough after high pressure, low vortex, confrontational convergence, and asymptotic convergence. In all typical weather patterns, the lightning occurs downstream of a 500 hPa trough and is accompanied by a southwesterly low-level jet. The convective parameters of winter thunderstorms differ greatly from those of summer thunderstorms. The maximum convective available potential energy (MCAPE) and K-index (KI) are more useful metrics than convective available potential energy (CAPE) and Showalter index (SI) during winter. This study further deepens the understanding of the distribution characteristics of winter CG lightning in China, which motivates further research to improve the ability of winter thunderstorm prediction. |
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We identify three Winter Lightning Frequent Areas (WLAs): the southwest side of the Yunnan-Guizhou Plateau (WLA1), the east side of the Yunnan-Guizhou Plateau (WLA2), and the Poyang Lake Plain (WLA3). The CG lightning flashes most frequently occur at local midnight and have a monthly peak in February. The CG lightning in WLA1 is mostly generated in non-frontal weather; however, the lightning in WLA2 and WLA3 mostly occurs in frontal systems. The frontal circulation situation is divided into four typical types: transversal trough after high pressure, low vortex, confrontational convergence, and asymptotic convergence. In all typical weather patterns, the lightning occurs downstream of a 500 hPa trough and is accompanied by a southwesterly low-level jet. The convective parameters of winter thunderstorms differ greatly from those of summer thunderstorms. The maximum convective available potential energy (MCAPE) and K-index (KI) are more useful metrics than convective available potential energy (CAPE) and Showalter index (SI) during winter. This study further deepens the understanding of the distribution characteristics of winter CG lightning in China, which motivates further research to improve the ability of winter thunderstorm prediction.</description><identifier>ISSN: 0256-1530</identifier><identifier>EISSN: 1861-9533</identifier><identifier>DOI: 10.1007/s00376-021-1260-2</identifier><language>eng</language><publisher>Heidelberg: Science Press</publisher><subject>Atmospheric Sciences ; Cloud-to-ground lightning ; Convective available potential energy ; Convergence ; Distribution ; Earth and Environmental Science ; Earth Sciences ; Frontal circulation ; Geophysics/Geodesy ; High pressure ; Lakes ; Lightning ; Lightning activity ; Lightning flashes ; Low-level jets ; Meteorology ; Original Paper ; Potential energy ; Spatial distribution ; Storm forecasting ; Storms ; Summer storms ; Summer thunderstorms ; Temporal distribution ; Thunderstorms ; Weather ; Weather patterns ; Winter ; Winter thunderstorms</subject><ispartof>Advances in atmospheric sciences, 2022-06, Vol.39 (6), p.985-998</ispartof><rights>Institute of Atmospheric Physics/Chinese Academy of Sciences, and Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>Institute of Atmospheric Physics/Chinese Academy of Sciences, and Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2022.</rights><rights>Copyright © Wanfang Data Co. 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All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c350t-5c98ce0bb0032556ff917ae9eca4c46553ee270e59b63803fddd90c7daa118373</citedby><cites>FETCH-LOGICAL-c350t-5c98ce0bb0032556ff917ae9eca4c46553ee270e59b63803fddd90c7daa118373</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/dqkxjz-e/dqkxjz-e.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00376-021-1260-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00376-021-1260-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27926,27927,41490,42559,51321</link.rule.ids></links><search><creatorcontrib>Ma, Manman</creatorcontrib><creatorcontrib>Huang, Xiaogang</creatorcontrib><creatorcontrib>Fei, Jianfang</creatorcontrib><creatorcontrib>Zhang, Chi</creatorcontrib><creatorcontrib>Li, Chao</creatorcontrib><creatorcontrib>Cheng, Xiaoping</creatorcontrib><title>Analysis of the Winter Cloud-to-Ground Lightning Activity and Its Synoptic Background in China during 2010–20</title><title>Advances in atmospheric sciences</title><addtitle>Adv. Atmos. Sci</addtitle><description>Cloud-to-ground (CG) lightning data and the ECMWF ERA-Interim reanalysis dataset are analyzed to gain insight into the spatiotemporal distribution and synoptic background of winter-season CG flashes between December 2010 and February 2020 in China. We identify three Winter Lightning Frequent Areas (WLAs): the southwest side of the Yunnan-Guizhou Plateau (WLA1), the east side of the Yunnan-Guizhou Plateau (WLA2), and the Poyang Lake Plain (WLA3). The CG lightning flashes most frequently occur at local midnight and have a monthly peak in February. The CG lightning in WLA1 is mostly generated in non-frontal weather; however, the lightning in WLA2 and WLA3 mostly occurs in frontal systems. The frontal circulation situation is divided into four typical types: transversal trough after high pressure, low vortex, confrontational convergence, and asymptotic convergence. In all typical weather patterns, the lightning occurs downstream of a 500 hPa trough and is accompanied by a southwesterly low-level jet. The convective parameters of winter thunderstorms differ greatly from those of summer thunderstorms. The maximum convective available potential energy (MCAPE) and K-index (KI) are more useful metrics than convective available potential energy (CAPE) and Showalter index (SI) during winter. This study further deepens the understanding of the distribution characteristics of winter CG lightning in China, which motivates further research to improve the ability of winter thunderstorm prediction.</description><subject>Atmospheric Sciences</subject><subject>Cloud-to-ground lightning</subject><subject>Convective available potential energy</subject><subject>Convergence</subject><subject>Distribution</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Frontal circulation</subject><subject>Geophysics/Geodesy</subject><subject>High pressure</subject><subject>Lakes</subject><subject>Lightning</subject><subject>Lightning activity</subject><subject>Lightning flashes</subject><subject>Low-level jets</subject><subject>Meteorology</subject><subject>Original Paper</subject><subject>Potential energy</subject><subject>Spatial distribution</subject><subject>Storm forecasting</subject><subject>Storms</subject><subject>Summer storms</subject><subject>Summer thunderstorms</subject><subject>Temporal distribution</subject><subject>Thunderstorms</subject><subject>Weather</subject><subject>Weather patterns</subject><subject>Winter</subject><subject>Winter thunderstorms</subject><issn>0256-1530</issn><issn>1861-9533</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kc1qGzEUhUVJoU7aB-hO0FUWSq4kSzOzdEx-DIYu2pClkDUaW7YrOZImibvqO_QN-yTRMIGsurpw-c65PwehrxQuKEB1mQB4JQkwSiiTQNgHNKG1pKQRnJ-gCTAhCRUcPqHTlLaFbnhNJyjMvN4fk0s4dDhvLH5wPtuI5_vQtyQHchtD71u8dOtN9s6v8cxk9-TyEevSXuSEfxx9OGRn8JU2u_WIO4_nG-c1bvs4iBhQ-PfnL4PP6GOn98l-eatn6P7m-uf8jiy_3y7msyUxXEAmwjS1sbBalUWZELLrGlpp21ijp2YqheDWsgqsaFaS18C7tm0bMFWrNaU1r_gZOh99n7XvtF-rbehjOTWp9nH3sv2tLAPGQJa9CvttZA8xPPY25XeYySkrk6d8oOhImRhSirZTh-h-6XhUFNSQgRozUCUDNWSgWNGwUZMOwxtsfHf-v-gViCaI4Q</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Ma, Manman</creator><creator>Huang, Xiaogang</creator><creator>Fei, Jianfang</creator><creator>Zhang, Chi</creator><creator>Li, Chao</creator><creator>Cheng, Xiaoping</creator><general>Science Press</general><general>Springer Nature B.V</general><general>College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,China%Unit 94116 of PLA,Hetian 848000,China%Jiangsu Meteorological Observatory,Nanjing 210008,China</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20220601</creationdate><title>Analysis of the Winter Cloud-to-Ground Lightning Activity and Its Synoptic Background in China during 2010–20</title><author>Ma, Manman ; Huang, Xiaogang ; Fei, Jianfang ; Zhang, Chi ; Li, Chao ; Cheng, Xiaoping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c350t-5c98ce0bb0032556ff917ae9eca4c46553ee270e59b63803fddd90c7daa118373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Atmospheric Sciences</topic><topic>Cloud-to-ground lightning</topic><topic>Convective available potential energy</topic><topic>Convergence</topic><topic>Distribution</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Frontal circulation</topic><topic>Geophysics/Geodesy</topic><topic>High pressure</topic><topic>Lakes</topic><topic>Lightning</topic><topic>Lightning activity</topic><topic>Lightning flashes</topic><topic>Low-level jets</topic><topic>Meteorology</topic><topic>Original Paper</topic><topic>Potential energy</topic><topic>Spatial distribution</topic><topic>Storm forecasting</topic><topic>Storms</topic><topic>Summer storms</topic><topic>Summer thunderstorms</topic><topic>Temporal distribution</topic><topic>Thunderstorms</topic><topic>Weather</topic><topic>Weather patterns</topic><topic>Winter</topic><topic>Winter thunderstorms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Manman</creatorcontrib><creatorcontrib>Huang, Xiaogang</creatorcontrib><creatorcontrib>Fei, Jianfang</creatorcontrib><creatorcontrib>Zhang, Chi</creatorcontrib><creatorcontrib>Li, Chao</creatorcontrib><creatorcontrib>Cheng, Xiaoping</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Advances in atmospheric sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ma, Manman</au><au>Huang, Xiaogang</au><au>Fei, Jianfang</au><au>Zhang, Chi</au><au>Li, Chao</au><au>Cheng, Xiaoping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of the Winter Cloud-to-Ground Lightning Activity and Its Synoptic Background in China during 2010–20</atitle><jtitle>Advances in atmospheric sciences</jtitle><stitle>Adv. Atmos. Sci</stitle><date>2022-06-01</date><risdate>2022</risdate><volume>39</volume><issue>6</issue><spage>985</spage><epage>998</epage><pages>985-998</pages><issn>0256-1530</issn><eissn>1861-9533</eissn><abstract>Cloud-to-ground (CG) lightning data and the ECMWF ERA-Interim reanalysis dataset are analyzed to gain insight into the spatiotemporal distribution and synoptic background of winter-season CG flashes between December 2010 and February 2020 in China. We identify three Winter Lightning Frequent Areas (WLAs): the southwest side of the Yunnan-Guizhou Plateau (WLA1), the east side of the Yunnan-Guizhou Plateau (WLA2), and the Poyang Lake Plain (WLA3). The CG lightning flashes most frequently occur at local midnight and have a monthly peak in February. The CG lightning in WLA1 is mostly generated in non-frontal weather; however, the lightning in WLA2 and WLA3 mostly occurs in frontal systems. The frontal circulation situation is divided into four typical types: transversal trough after high pressure, low vortex, confrontational convergence, and asymptotic convergence. In all typical weather patterns, the lightning occurs downstream of a 500 hPa trough and is accompanied by a southwesterly low-level jet. The convective parameters of winter thunderstorms differ greatly from those of summer thunderstorms. The maximum convective available potential energy (MCAPE) and K-index (KI) are more useful metrics than convective available potential energy (CAPE) and Showalter index (SI) during winter. This study further deepens the understanding of the distribution characteristics of winter CG lightning in China, which motivates further research to improve the ability of winter thunderstorm prediction.</abstract><cop>Heidelberg</cop><pub>Science Press</pub><doi>10.1007/s00376-021-1260-2</doi><tpages>14</tpages></addata></record> |
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subjects | Atmospheric Sciences Cloud-to-ground lightning Convective available potential energy Convergence Distribution Earth and Environmental Science Earth Sciences Frontal circulation Geophysics/Geodesy High pressure Lakes Lightning Lightning activity Lightning flashes Low-level jets Meteorology Original Paper Potential energy Spatial distribution Storm forecasting Storms Summer storms Summer thunderstorms Temporal distribution Thunderstorms Weather Weather patterns Winter Winter thunderstorms |
title | Analysis of the Winter Cloud-to-Ground Lightning Activity and Its Synoptic Background in China during 2010–20 |
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