{"id":"https://openalex.org/W3007214472","doi":"https://doi.org/10.1109/wsc40007.2019.9004915","title":"Classification of Weather Impacts on Airport Operations","display_name":"Classification of Weather Impacts on Airport Operations","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007214472","doi":"https://doi.org/10.1109/wsc40007.2019.9004915","mag":"3007214472"},"language":"en","primary_location":{"id":"doi:10.1109/wsc40007.2019.9004915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc40007.2019.9004915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"article","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/A5001283900","display_name":"Michael Schultz","orcid":"https://orcid.org/0000-0003-4056-8461"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Schultz","raw_affiliation_strings":["Institute of Logistics and Aviation, Dresden University of Technology, Dresden, GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Logistics and Aviation, Dresden University of Technology, Dresden, GERMANY","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001839757","display_name":"Stefan Reitmann","orcid":"https://orcid.org/0000-0003-0283-8272"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I4210098006","display_name":"Guidance (United Kingdom)","ror":"https://ror.org/00spcac30","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210098006"]},{"id":"https://openalex.org/I4210116919","display_name":"Institute of Flight","ror":"https://ror.org/02cx1m445","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210116919"]}],"countries":["DE","GB","US"],"is_corresponding":false,"raw_author_name":"Stefan Reitmann","raw_affiliation_strings":["Institute of Flight Guidance, German Aerospace Center, Braunschweig, GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Flight Guidance, German Aerospace Center, Braunschweig, GERMANY","institution_ids":["https://openalex.org/I2898391981","https://openalex.org/I4210116919","https://openalex.org/I4210098006"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008604294","display_name":"Sameer Alam","orcid":"https://orcid.org/0000-0002-7379-8223"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sameer Alam","raw_affiliation_strings":["School of Mechanical & Aerospace Engineering, Nanyang Technological University, SINGAPORE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical & Aerospace Engineering, Nanyang Technological University, SINGAPORE","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.8813,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.98164456,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"500","last_page":"511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11489","display_name":"Air Traffic Management and Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11599","display_name":"Aviation Industry Analysis and Trends","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6733267903327942},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.6009270548820496},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5374894738197327},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5190497040748596},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45569223165512085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44770175218582153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3735155761241913},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2666337490081787},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10744798183441162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6733267903327942},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.6009270548820496},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5374894738197327},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5190497040748596},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45569223165512085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44770175218582153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3735155761241913},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2666337490081787},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10744798183441162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc40007.2019.9004915","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc40007.2019.9004915","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W36661986","https://openalex.org/W83514927","https://openalex.org/W315550016","https://openalex.org/W319209697","https://openalex.org/W1578049720","https://openalex.org/W1977556410","https://openalex.org/W1991631376","https://openalex.org/W2050534122","https://openalex.org/W2070853643","https://openalex.org/W2076945430","https://openalex.org/W2171214764","https://openalex.org/W2295012394","https://openalex.org/W2303634726","https://openalex.org/W2326132194","https://openalex.org/W2510627588","https://openalex.org/W2535489922","https://openalex.org/W2552640567","https://openalex.org/W2562109424","https://openalex.org/W2581244656","https://openalex.org/W2586209957","https://openalex.org/W2590867029","https://openalex.org/W2598674404","https://openalex.org/W2617713221","https://openalex.org/W2620952433","https://openalex.org/W2736191430","https://openalex.org/W2781480577","https://openalex.org/W2795044595","https://openalex.org/W2806521065","https://openalex.org/W2887879126","https://openalex.org/W2893744944","https://openalex.org/W2897477491","https://openalex.org/W2906445168","https://openalex.org/W3190036725","https://openalex.org/W4230910813","https://openalex.org/W6603347759","https://openalex.org/W6634577760","https://openalex.org/W6644682428","https://openalex.org/W6684782782","https://openalex.org/W6729438699","https://openalex.org/W6732659219","https://openalex.org/W6733627674","https://openalex.org/W6741853903","https://openalex.org/W6747725901","https://openalex.org/W6799411759"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W1972035260","https://openalex.org/W4312417841","https://openalex.org/W4225147082"],"abstract_inverted_index":{"Classification":[0],"of":[1,11,84,91,115,142],"weather":[2,13,28,65,93,103,135],"impacts":[3,57],"on":[4,102,128],"airport":[5,34,60,86],"operations":[6],"will":[7],"allow":[8],"efficient":[9],"consideration":[10],"local":[12,92,143],"events":[14,94],"in":[15,23,147],"network-wide":[16,145],"analysis.":[17],"We":[18,131],"use":[19],"machine":[20,75,118],"learning":[21,53,76,119],"approaches":[22],"our":[24,74],"contribution":[25],"to":[26,54,111],"correlate":[27],"data":[29,41,66],"from":[30],"meteorological":[31],"reports":[32],"and":[33,46,61,69,105,121,137,144],"performance":[35,56,87],"data,":[36],"which":[37],"contains":[38],"flight":[39,106],"plan":[40],"with":[42,67,117],"scheduled,":[43],"actual":[44],"movements":[45],"delays.":[47],"In":[48],"particular,":[49],"we":[50],"applied":[51],"unsupervised":[52],"cluster":[55],"at":[58],"the":[59,63,89,113,123],"classify":[62],"respective":[64],"recurrent":[68],"convolutional":[70],"neural":[71],"networks.":[72],"Thus,":[73],"approach":[77],"allows":[78],"for":[79,125],"both":[80],"an":[81],"appropriate":[82],"matching":[83],"decreased":[85],"during":[88],"occurrence":[90],"as":[95,97],"well":[96],"a":[98,139],"delay":[99],"estimation":[100],"based":[101],"forecast":[104],"plans.":[107],"This":[108],"paper":[109],"serves":[110],"illustrate":[112],"potential":[114],"classifications":[116,136],"methods":[120],"is":[122],"basis":[124],"further":[126],"investigations":[127],"this":[129],"topic.":[130],"update":[132],"current":[133],"expert-based":[134],"provide":[138],"better":[140],"understanding":[141],"interdependencies":[146],"air":[148],"transportation.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
