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Cluster analysis of five years of back trajectories arriving in Athens, Greece
Cluster analysis was applied to back trajectories reaching the Greater Athens area, Greece. The database contains five years of four-day kinematic back trajectories arriving at three heights, 750m, 1500m and 3000m above mean sea level, computed with version 4.7 of the Hybrid Single-Particle Lagrangi...
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Published in: | Atmospheric research 2010-11, Vol.98 (2-4), p.438-457 |
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description | Cluster analysis was applied to back trajectories reaching the Greater Athens area, Greece. The database contains five years of four-day kinematic back trajectories arriving at three heights, 750m, 1500m and 3000m above mean sea level, computed with version 4.7 of the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT). In this study, the analysis consists of two steps. The first step involves the clustering of trajectories at each height level and the separation of the retained clusters based on the length of their centroids (cluster-mean trajectories) using the Haversine formula. In order to obtain this separation, three categories of back trajectories are defined based on the above mentioned length: short-slow-moving (SSM) with length up to 1500m, medium-moving (MM) with length from 1500m to 3000m and long-fast-moving (LFM) with over 3000m. Cluster analysis was applied again on each of these three categories of back trajectories at each of the above heights (second step). The results show that as height increases the number of back trajectories in the SSM/LFM categories decreases/increases due to the weaker influence of the ground and the stronger winds. In addition, airflows categorized in SSM come almost from all points of the compass, in contrast to the MM and LFM categories where the flows originate mostly from the west and north sectors. Specifically, at 750m the north sector prevails for all categories, at 1500m the north sector dominates for SSM and LFM, while for MM the west sector dominates. The situation is different at 3000m, where domination of the south sector for SSM and of the west sector for MM and LFM is observed. Moreover, patterns of local circulation with very short trajectories are observed in all heights, presenting a seasonal distribution with higher frequency of occurrence at 750m and 1500m in the winter, and at 3000m in the summer. |
doi_str_mv | 10.1016/j.atmosres.2010.08.006 |
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The database contains five years of four-day kinematic back trajectories arriving at three heights, 750m, 1500m and 3000m above mean sea level, computed with version 4.7 of the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT). In this study, the analysis consists of two steps. The first step involves the clustering of trajectories at each height level and the separation of the retained clusters based on the length of their centroids (cluster-mean trajectories) using the Haversine formula. In order to obtain this separation, three categories of back trajectories are defined based on the above mentioned length: short-slow-moving (SSM) with length up to 1500m, medium-moving (MM) with length from 1500m to 3000m and long-fast-moving (LFM) with over 3000m. Cluster analysis was applied again on each of these three categories of back trajectories at each of the above heights (second step). The results show that as height increases the number of back trajectories in the SSM/LFM categories decreases/increases due to the weaker influence of the ground and the stronger winds. In addition, airflows categorized in SSM come almost from all points of the compass, in contrast to the MM and LFM categories where the flows originate mostly from the west and north sectors. Specifically, at 750m the north sector prevails for all categories, at 1500m the north sector dominates for SSM and LFM, while for MM the west sector dominates. The situation is different at 3000m, where domination of the south sector for SSM and of the west sector for MM and LFM is observed. Moreover, patterns of local circulation with very short trajectories are observed in all heights, presenting a seasonal distribution with higher frequency of occurrence at 750m and 1500m in the winter, and at 3000m in the summer.</description><identifier>ISSN: 0169-8095</identifier><identifier>EISSN: 1873-2895</identifier><identifier>DOI: 10.1016/j.atmosres.2010.08.006</identifier><identifier>CODEN: ATREEW</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Athens ; Atmospherics ; Back trajectories ; Categories ; Cluster analysis ; Clusters ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Greece ; Haversine formula ; Marine ; Meteorology ; Separation ; Trajectories</subject><ispartof>Atmospheric research, 2010-11, Vol.98 (2-4), p.438-457</ispartof><rights>2010 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c439t-53cc13c95ec09864fb4f33ac03cd1dbe219872fe0ebd5d7947b80c6ec01f063f3</citedby><cites>FETCH-LOGICAL-c439t-53cc13c95ec09864fb4f33ac03cd1dbe219872fe0ebd5d7947b80c6ec01f063f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23424217$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Markou, M.T.</creatorcontrib><creatorcontrib>Kassomenos, P.</creatorcontrib><title>Cluster analysis of five years of back trajectories arriving in Athens, Greece</title><title>Atmospheric research</title><description>Cluster analysis was applied to back trajectories reaching the Greater Athens area, Greece. The database contains five years of four-day kinematic back trajectories arriving at three heights, 750m, 1500m and 3000m above mean sea level, computed with version 4.7 of the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT). In this study, the analysis consists of two steps. The first step involves the clustering of trajectories at each height level and the separation of the retained clusters based on the length of their centroids (cluster-mean trajectories) using the Haversine formula. In order to obtain this separation, three categories of back trajectories are defined based on the above mentioned length: short-slow-moving (SSM) with length up to 1500m, medium-moving (MM) with length from 1500m to 3000m and long-fast-moving (LFM) with over 3000m. Cluster analysis was applied again on each of these three categories of back trajectories at each of the above heights (second step). The results show that as height increases the number of back trajectories in the SSM/LFM categories decreases/increases due to the weaker influence of the ground and the stronger winds. In addition, airflows categorized in SSM come almost from all points of the compass, in contrast to the MM and LFM categories where the flows originate mostly from the west and north sectors. Specifically, at 750m the north sector prevails for all categories, at 1500m the north sector dominates for SSM and LFM, while for MM the west sector dominates. The situation is different at 3000m, where domination of the south sector for SSM and of the west sector for MM and LFM is observed. Moreover, patterns of local circulation with very short trajectories are observed in all heights, presenting a seasonal distribution with higher frequency of occurrence at 750m and 1500m in the winter, and at 3000m in the summer.</description><subject>Athens</subject><subject>Atmospherics</subject><subject>Back trajectories</subject><subject>Categories</subject><subject>Cluster analysis</subject><subject>Clusters</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Greece</subject><subject>Haversine formula</subject><subject>Marine</subject><subject>Meteorology</subject><subject>Separation</subject><subject>Trajectories</subject><issn>0169-8095</issn><issn>1873-2895</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqNkcFu1DAQhi1EJZbSV0C-VOXQLOPYcewb1aotSFW50LPlTMbgJZsUO7vSvn1dtu0RehrN6JsZ6f8Y-yhgKUDoz-ulnzdTTpSXNZQhmCWAfsMWwrSyqo1t3rJFAW1lwDbv2Puc1wDQgLILdrsatnmmxP3oh32OmU-Bh7gjvief_nadx998Tn5NOE8pUuY-pbiL408eR34x_6Ixn_PrRIT0gR0FP2Q6earH7O7q8sfqa3Xz_frb6uKmQiXtXDUSUUi0DSFYo1XoVJDSI0jsRd9RLaxp60BAXd_0rVVtZwB1oUUALYM8ZmeHu_dp-rOlPLtNzEjD4EeattmZRirTtqJ-BSmU1krJQn76Jylao0uKYFVB9QHFNOWSfHD3KW582jsB7lGKW7tnKe5RigPjipSyePr0w2f0Q0h-xJhftmupalWLtnBfDhyVEHeRkssYaUTqYyoaXD_F_716ANfRpb4</recordid><startdate>20101101</startdate><enddate>20101101</enddate><creator>Markou, M.T.</creator><creator>Kassomenos, P.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>20101101</creationdate><title>Cluster analysis of five years of back trajectories arriving in Athens, Greece</title><author>Markou, M.T. ; Kassomenos, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c439t-53cc13c95ec09864fb4f33ac03cd1dbe219872fe0ebd5d7947b80c6ec01f063f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Athens</topic><topic>Atmospherics</topic><topic>Back trajectories</topic><topic>Categories</topic><topic>Cluster analysis</topic><topic>Clusters</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Greece</topic><topic>Haversine formula</topic><topic>Marine</topic><topic>Meteorology</topic><topic>Separation</topic><topic>Trajectories</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Markou, M.T.</creatorcontrib><creatorcontrib>Kassomenos, P.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Atmospheric research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Markou, M.T.</au><au>Kassomenos, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cluster analysis of five years of back trajectories arriving in Athens, Greece</atitle><jtitle>Atmospheric research</jtitle><date>2010-11-01</date><risdate>2010</risdate><volume>98</volume><issue>2-4</issue><spage>438</spage><epage>457</epage><pages>438-457</pages><issn>0169-8095</issn><eissn>1873-2895</eissn><coden>ATREEW</coden><abstract>Cluster analysis was applied to back trajectories reaching the Greater Athens area, Greece. The database contains five years of four-day kinematic back trajectories arriving at three heights, 750m, 1500m and 3000m above mean sea level, computed with version 4.7 of the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT). In this study, the analysis consists of two steps. The first step involves the clustering of trajectories at each height level and the separation of the retained clusters based on the length of their centroids (cluster-mean trajectories) using the Haversine formula. In order to obtain this separation, three categories of back trajectories are defined based on the above mentioned length: short-slow-moving (SSM) with length up to 1500m, medium-moving (MM) with length from 1500m to 3000m and long-fast-moving (LFM) with over 3000m. Cluster analysis was applied again on each of these three categories of back trajectories at each of the above heights (second step). The results show that as height increases the number of back trajectories in the SSM/LFM categories decreases/increases due to the weaker influence of the ground and the stronger winds. In addition, airflows categorized in SSM come almost from all points of the compass, in contrast to the MM and LFM categories where the flows originate mostly from the west and north sectors. Specifically, at 750m the north sector prevails for all categories, at 1500m the north sector dominates for SSM and LFM, while for MM the west sector dominates. The situation is different at 3000m, where domination of the south sector for SSM and of the west sector for MM and LFM is observed. Moreover, patterns of local circulation with very short trajectories are observed in all heights, presenting a seasonal distribution with higher frequency of occurrence at 750m and 1500m in the winter, and at 3000m in the summer.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.atmosres.2010.08.006</doi><tpages>20</tpages></addata></record> |
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subjects | Athens Atmospherics Back trajectories Categories Cluster analysis Clusters Earth, ocean, space Exact sciences and technology External geophysics Greece Haversine formula Marine Meteorology Separation Trajectories |
title | Cluster analysis of five years of back trajectories arriving in Athens, Greece |
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