Tropical cyclone movement features in the western North Pacific region based on multi‐dimensional statistical analyses
In order to protect and mitigate the disaster caused by tropical cyclone (TC) in the western North Pacific (WNP) region, further understandings of the characteristics of historical TCs are important. In this study, multi‐dimensional statistical analyses are carried out to reveal the TC movement feat...
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Veröffentlicht in: | International journal of climatology 2021-01, Vol.41 (S1), p.E3195-E3207 |
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description | In order to protect and mitigate the disaster caused by tropical cyclone (TC) in the western North Pacific (WNP) region, further understandings of the characteristics of historical TCs are important. In this study, multi‐dimensional statistical analyses are carried out to reveal the TC movement features in the WNP. Two representative TC datasets provided by China Meteorological Administration (CMA) and Japan Meteorological Agency (JMA) are used to investigate the historical TC properties in the WNP covering a time duration from 1951 to 2018. TC movement features generally show the great consistency with respect to these two datasets. Based on the regional (zero‐dimensional analysis) and zonally averaged (one‐dimensional analysis) results, it is found that TCs move northwest with a small velocity at low latitudes, whereas they tend to drift northeast with a large velocity at high latitudes. The recurvature occurs near 25°N where the direction of zonal drift velocity reverses. Applying the bivariate normal distribution method (quasi‐two‐dimensional analysis), the randomness of the zonal component is found to be generally greater than that of the meridional component. Accordingly, relevant attentions, rather than universal ones, should be paid to forecast the TC movement in different regions. Regarding the complete two‐dimensional analysis, it is found that compared with other areas, TCs have a smaller magnitude of drift velocity but stronger intensity with higher passage frequencies in the area enclosed by 10–25°N and 110–140°E, where significant TC‐induced disasters are prone to occur, resulting in a serious threat to the safety of human beings and local societies.
Multi‐dimensional statistical analyses are carried out to reveal the TC movement features in the WNP.
Relevant attentions, rather than universal ones, should be paid to forecast the TC movement in different regions.
The area with a small magnitude of TC drift velocity but strong intensity with high passage frequencies is specified. |
doi_str_mv | 10.1002/joc.6916 |
format | Article |
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Multi‐dimensional statistical analyses are carried out to reveal the TC movement features in the WNP.
Relevant attentions, rather than universal ones, should be paid to forecast the TC movement in different regions.
The area with a small magnitude of TC drift velocity but strong intensity with high passage frequencies is specified.</description><identifier>ISSN: 0899-8418</identifier><identifier>EISSN: 1097-0088</identifier><identifier>DOI: 10.1002/joc.6916</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Ltd</publisher><subject>Bivariate analysis ; Cyclone movement ; Cyclones ; data comparison ; Datasets ; Dimensional analysis ; Disaster management ; Disasters ; Drift ; Hurricanes ; Mathematical analysis ; Meteorology & Atmospheric Sciences ; multi‐dimension ; Normal distribution ; Physical Sciences ; Science & Technology ; spatial distribution ; Statistical analysis ; Statistical methods ; Statistics ; Tropical climate ; Tropical cyclone movement ; Tropical cyclones ; Velocity ; Western North Pacific region</subject><ispartof>International journal of climatology, 2021-01, Vol.41 (S1), p.E3195-E3207</ispartof><rights>2020 Royal Meteorological Society</rights><rights>2021 Royal Meteorological Society</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>7</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000587897500001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c2936-574f3bcd746aa21f1f1b54b965bb538042df4524c07c416d32d75144875fac4c3</citedby><cites>FETCH-LOGICAL-c2936-574f3bcd746aa21f1f1b54b965bb538042df4524c07c416d32d75144875fac4c3</cites><orcidid>0000-0002-5708-8504 ; 0000-0002-3247-9007</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjoc.6916$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjoc.6916$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27929,27930,39263,45579,45580</link.rule.ids></links><search><creatorcontrib>Meng, Wenjian</creatorcontrib><creatorcontrib>Liu, Haijiang</creatorcontrib><creatorcontrib>Yang, Mingzhe</creatorcontrib><title>Tropical cyclone movement features in the western North Pacific region based on multi‐dimensional statistical analyses</title><title>International journal of climatology</title><addtitle>INT J CLIMATOL</addtitle><description>In order to protect and mitigate the disaster caused by tropical cyclone (TC) in the western North Pacific (WNP) region, further understandings of the characteristics of historical TCs are important. In this study, multi‐dimensional statistical analyses are carried out to reveal the TC movement features in the WNP. Two representative TC datasets provided by China Meteorological Administration (CMA) and Japan Meteorological Agency (JMA) are used to investigate the historical TC properties in the WNP covering a time duration from 1951 to 2018. TC movement features generally show the great consistency with respect to these two datasets. Based on the regional (zero‐dimensional analysis) and zonally averaged (one‐dimensional analysis) results, it is found that TCs move northwest with a small velocity at low latitudes, whereas they tend to drift northeast with a large velocity at high latitudes. The recurvature occurs near 25°N where the direction of zonal drift velocity reverses. Applying the bivariate normal distribution method (quasi‐two‐dimensional analysis), the randomness of the zonal component is found to be generally greater than that of the meridional component. Accordingly, relevant attentions, rather than universal ones, should be paid to forecast the TC movement in different regions. Regarding the complete two‐dimensional analysis, it is found that compared with other areas, TCs have a smaller magnitude of drift velocity but stronger intensity with higher passage frequencies in the area enclosed by 10–25°N and 110–140°E, where significant TC‐induced disasters are prone to occur, resulting in a serious threat to the safety of human beings and local societies.
Multi‐dimensional statistical analyses are carried out to reveal the TC movement features in the WNP.
Relevant attentions, rather than universal ones, should be paid to forecast the TC movement in different regions.
The area with a small magnitude of TC drift velocity but strong intensity with high passage frequencies is specified.</description><subject>Bivariate analysis</subject><subject>Cyclone movement</subject><subject>Cyclones</subject><subject>data comparison</subject><subject>Datasets</subject><subject>Dimensional analysis</subject><subject>Disaster management</subject><subject>Disasters</subject><subject>Drift</subject><subject>Hurricanes</subject><subject>Mathematical analysis</subject><subject>Meteorology & Atmospheric Sciences</subject><subject>multi‐dimension</subject><subject>Normal distribution</subject><subject>Physical Sciences</subject><subject>Science & Technology</subject><subject>spatial distribution</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistics</subject><subject>Tropical climate</subject><subject>Tropical cyclone movement</subject><subject>Tropical cyclones</subject><subject>Velocity</subject><subject>Western North Pacific region</subject><issn>0899-8418</issn><issn>1097-0088</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><recordid>eNqNkMFO3DAQhq2qSN1CpT6CpV6QUKid2LFzrCLaghBwgHPkOOPiVTbe2g50b30EnpEnYZZF3JCQDx7Z3__PzE_IV86OOWPl92Wwx3XD6w9kwVmjCsa0_kgWTDdNoQXXn8jnlJaMsQahBfl3HcPaWzNSu7FjmICuwh2sYMrUgclzhET9RPMt0HtIGeJEL0LMt_TKWO-8pRH--DDR3iQYKBarecz-8f_D4NEk4Rdap2yyT_m5jcGHTYJ0QPacGRN8ebn3yc3Pk-v2d3F--eu0_XFe2LKp6kIq4areDkrUxpTc4eml6Jta9r2sNBPl4IQshWXKCl4PVTkoyYXQSjpjha32ybed7zqGvzOu0C3DHHGI1JVCaYlOJUPqcEfZGFKK4Lp19CsTNx1n3TZXVNlumyuieofeQx9csh4mC684Biu10o2SWDHe-u3qYWrDPGWUHr1finTxQvsRNm8O1J1dts-DPQHVIZzB</recordid><startdate>202101</startdate><enddate>202101</enddate><creator>Meng, Wenjian</creator><creator>Liu, Haijiang</creator><creator>Yang, Mingzhe</creator><general>John Wiley & Sons, Ltd</general><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><orcidid>https://orcid.org/0000-0002-5708-8504</orcidid><orcidid>https://orcid.org/0000-0002-3247-9007</orcidid></search><sort><creationdate>202101</creationdate><title>Tropical cyclone movement features in the western North Pacific region based on multi‐dimensional statistical analyses</title><author>Meng, Wenjian ; Liu, Haijiang ; Yang, Mingzhe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2936-574f3bcd746aa21f1f1b54b965bb538042df4524c07c416d32d75144875fac4c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bivariate analysis</topic><topic>Cyclone movement</topic><topic>Cyclones</topic><topic>data comparison</topic><topic>Datasets</topic><topic>Dimensional analysis</topic><topic>Disaster management</topic><topic>Disasters</topic><topic>Drift</topic><topic>Hurricanes</topic><topic>Mathematical analysis</topic><topic>Meteorology & Atmospheric Sciences</topic><topic>multi‐dimension</topic><topic>Normal distribution</topic><topic>Physical Sciences</topic><topic>Science & Technology</topic><topic>spatial distribution</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistics</topic><topic>Tropical climate</topic><topic>Tropical cyclone movement</topic><topic>Tropical cyclones</topic><topic>Velocity</topic><topic>Western North Pacific region</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meng, Wenjian</creatorcontrib><creatorcontrib>Liu, Haijiang</creatorcontrib><creatorcontrib>Yang, Mingzhe</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic 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><jtitle>International journal of climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meng, Wenjian</au><au>Liu, Haijiang</au><au>Yang, Mingzhe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tropical cyclone movement features in the western North Pacific region based on multi‐dimensional statistical analyses</atitle><jtitle>International journal of climatology</jtitle><stitle>INT J CLIMATOL</stitle><date>2021-01</date><risdate>2021</risdate><volume>41</volume><issue>S1</issue><spage>E3195</spage><epage>E3207</epage><pages>E3195-E3207</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>In order to protect and mitigate the disaster caused by tropical cyclone (TC) in the western North Pacific (WNP) region, further understandings of the characteristics of historical TCs are important. In this study, multi‐dimensional statistical analyses are carried out to reveal the TC movement features in the WNP. Two representative TC datasets provided by China Meteorological Administration (CMA) and Japan Meteorological Agency (JMA) are used to investigate the historical TC properties in the WNP covering a time duration from 1951 to 2018. TC movement features generally show the great consistency with respect to these two datasets. Based on the regional (zero‐dimensional analysis) and zonally averaged (one‐dimensional analysis) results, it is found that TCs move northwest with a small velocity at low latitudes, whereas they tend to drift northeast with a large velocity at high latitudes. The recurvature occurs near 25°N where the direction of zonal drift velocity reverses. Applying the bivariate normal distribution method (quasi‐two‐dimensional analysis), the randomness of the zonal component is found to be generally greater than that of the meridional component. Accordingly, relevant attentions, rather than universal ones, should be paid to forecast the TC movement in different regions. Regarding the complete two‐dimensional analysis, it is found that compared with other areas, TCs have a smaller magnitude of drift velocity but stronger intensity with higher passage frequencies in the area enclosed by 10–25°N and 110–140°E, where significant TC‐induced disasters are prone to occur, resulting in a serious threat to the safety of human beings and local societies.
Multi‐dimensional statistical analyses are carried out to reveal the TC movement features in the WNP.
Relevant attentions, rather than universal ones, should be paid to forecast the TC movement in different regions.
The area with a small magnitude of TC drift velocity but strong intensity with high passage frequencies is specified.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Ltd</pub><doi>10.1002/joc.6916</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-5708-8504</orcidid><orcidid>https://orcid.org/0000-0002-3247-9007</orcidid></addata></record> |
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subjects | Bivariate analysis Cyclone movement Cyclones data comparison Datasets Dimensional analysis Disaster management Disasters Drift Hurricanes Mathematical analysis Meteorology & Atmospheric Sciences multi‐dimension Normal distribution Physical Sciences Science & Technology spatial distribution Statistical analysis Statistical methods Statistics Tropical climate Tropical cyclone movement Tropical cyclones Velocity Western North Pacific region |
title | Tropical cyclone movement features in the western North Pacific region based on multi‐dimensional statistical analyses |
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