{"id":"https://openalex.org/W3000326036","doi":"https://doi.org/10.1109/soli48380.2019.8955013","title":"A Novel Data-driven Approach for Tropical Cyclone Tracks Prediction Based on Granger Causality and GRU","display_name":"A Novel Data-driven Approach for Tropical Cyclone Tracks Prediction Based on Granger Causality and GRU","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3000326036","doi":"https://doi.org/10.1109/soli48380.2019.8955013","mag":"3000326036"},"language":"en","primary_location":{"id":"doi:10.1109/soli48380.2019.8955013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/soli48380.2019.8955013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102919840","display_name":"Pingping Dong","orcid":"https://orcid.org/0000-0003-3138-4900"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingping Dong","raw_affiliation_strings":["College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101618320","display_name":"Jie Lian","orcid":"https://orcid.org/0000-0002-2005-2022"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lian","raw_affiliation_strings":["College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458681","display_name":"Yuping Zhang","orcid":"https://orcid.org/0000-0001-8986-0354"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuping Zhang","raw_affiliation_strings":["College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, China","institution_ids":["https://openalex.org/I21945476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21945476"],"apc_list":null,"apc_paid":null,"fwci":4.0146,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94339234,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.930400013923645,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tropical-cyclone","display_name":"Tropical cyclone","score":0.7884193658828735},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.6859872341156006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5086823105812073},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4243104159832001},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.4239277243614197},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.417974054813385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.414612740278244},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3506495952606201},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.33388659358024597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3239295780658722},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18435055017471313},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16047999262809753},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06489667296409607}],"concepts":[{"id":"https://openalex.org/C29141058","wikidata":"https://www.wikidata.org/wiki/Q8092","display_name":"Tropical cyclone","level":2,"score":0.7884193658828735},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.6859872341156006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5086823105812073},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4243104159832001},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.4239277243614197},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.417974054813385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.414612740278244},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3506495952606201},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.33388659358024597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3239295780658722},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18435055017471313},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16047999262809753},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06489667296409607},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/soli48380.2019.8955013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/soli48380.2019.8955013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1830142881","https://openalex.org/W2021418005","https://openalex.org/W2032936806","https://openalex.org/W2049287603","https://openalex.org/W2064675550","https://openalex.org/W2081980086","https://openalex.org/W2087563622","https://openalex.org/W2117130368","https://openalex.org/W2120102406","https://openalex.org/W2134643908","https://openalex.org/W2194775991","https://openalex.org/W2581205918","https://openalex.org/W2740570963","https://openalex.org/W2765684131","https://openalex.org/W2783352038","https://openalex.org/W2891929938","https://openalex.org/W2964085201","https://openalex.org/W2964199361"],"related_works":["https://openalex.org/W126301054","https://openalex.org/W4251195004","https://openalex.org/W4242807451","https://openalex.org/W2035792466","https://openalex.org/W2977645287","https://openalex.org/W4251418261","https://openalex.org/W1972675643","https://openalex.org/W2154758532","https://openalex.org/W2969467197","https://openalex.org/W2086436209"],"abstract_inverted_index":{"The":[0,98,118],"strong":[1],"tropical":[2,33,84,95,125],"cyclones":[3,34,85,126],"will":[4],"make":[5],"a":[6,26,67,114,123],"drastic":[7],"effect":[8],"on":[9,74],"human":[10],"life":[11],"and":[12,21,43,55,77,110,134],"natural":[13],"environment.":[14],"In":[15],"these":[16],"days,":[17],"as":[18],"meteorological":[19,90],"data":[20,23,104],"monitoring":[22],"accumulated":[24],"to":[25,51,58,81,132],"large":[27],"amount,":[28],"traditional":[29],"methods":[30],"of":[31],"predicting":[32],"tracks":[35,86],"face":[36],"many":[37],"challenges":[38],"about":[39],"the":[40,83,89,94,106,111,129,135,144,148],"prediction":[41,145],"efficiency":[42],"accuracy.":[44],"Recently,":[45],"deep":[46,70],"learning":[47,71],"method":[48],"has":[49],"proven":[50],"be":[52],"an":[53],"efficient":[54],"accurate":[56],"way":[57],"forecast":[59],"time":[60],"series":[61],"data.":[62],"Therefore,":[63],"this":[64],"paper":[65],"proposes":[66],"novel":[68],"data-driven":[69],"model":[72,99,119,141],"based":[73],"Granger":[75],"causality":[76],"Gated":[78],"Recurrent":[79],"unit(GRU)":[80],"predict":[82],"by":[87],"selecting":[88],"factors":[91],"that":[92,138],"affect":[93],"cyclone":[96],"locations.":[97],"comprises":[100],"several":[101],"aspects":[102],"including":[103],"preprocessing,":[105],"feature":[107],"selection":[108],"layer,":[109],"GRU":[112],"with":[113],"customized":[115],"batch":[116],"process.":[117],"was":[120],"trained":[121],"using":[122],"real-world":[124],"dataset":[127],"from":[128],"year":[130],"1945":[131],"2017,":[133],"results":[136],"proved":[137],"our":[139],"proposed":[140],"can":[142],"improve":[143],"accuracy":[146],"in":[147],"experimental":[149],"scenario.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
