{"id":"https://openalex.org/W4390791312","doi":"https://doi.org/10.3233/faia231228","title":"Frequency-Domain Analysis of Atmospheric Electric Field and Thunderstorm Forecasting","display_name":"Frequency-Domain Analysis of Atmospheric Electric Field and Thunderstorm Forecasting","publication_year":2024,"publication_date":"2024-01-12","ids":{"openalex":"https://openalex.org/W4390791312","doi":"https://doi.org/10.3233/faia231228"},"language":"en","primary_location":{"id":"doi:10.3233/faia231228","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia231228","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231228","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231228","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113094375","display_name":"A. Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anming Xiong","raw_affiliation_strings":["Jiangsu Guorui Testing Technology Co., LTD, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Guorui Testing Technology Co., LTD, Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100818940","display_name":"Haibo Xu","orcid":"https://orcid.org/0000-0001-5999-5426"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Haibo Xu","raw_affiliation_strings":["Meteorological Agency of Yancheng, Yancheng, China","Corresponding Author, Meteorological Agency of Yancheng, Yancheng, P.R.China"],"affiliations":[{"raw_affiliation_string":"Meteorological Agency of Yancheng, Yancheng, China","institution_ids":[]},{"raw_affiliation_string":"Corresponding Author, Meteorological Agency of Yancheng, Yancheng, P.R.China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018961680","display_name":"Zhenglong Chen","orcid":"https://orcid.org/0000-0002-4075-251X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenglong Chen","raw_affiliation_strings":["Jiangsu Guorui Testing Technology Co., LTD, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Guorui Testing Technology Co., LTD, Suzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100818940"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01737409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10787","display_name":"Lightning and Electromagnetic Phenomena","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10787","display_name":"Lightning and Electromagnetic Phenomena","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10573","display_name":"Power Quality and Harmonics","score":0.916700005531311,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thunderstorm","display_name":"Thunderstorm","score":0.9597750902175903},{"id":"https://openalex.org/keywords/lightning","display_name":"Lightning (connector)","score":0.6670767068862915},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5880662202835083},{"id":"https://openalex.org/keywords/lightning-detection","display_name":"Lightning detection","score":0.5132579803466797},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4887359142303467},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.282572865486145},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19524425268173218}],"concepts":[{"id":"https://openalex.org/C80316258","wikidata":"https://www.wikidata.org/wiki/Q2857578","display_name":"Thunderstorm","level":2,"score":0.9597750902175903},{"id":"https://openalex.org/C69398868","wikidata":"https://www.wikidata.org/wiki/Q129052","display_name":"Lightning (connector)","level":3,"score":0.6670767068862915},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5880662202835083},{"id":"https://openalex.org/C2780500098","wikidata":"https://www.wikidata.org/wiki/Q3050846","display_name":"Lightning detection","level":3,"score":0.5132579803466797},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4887359142303467},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.282572865486145},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19524425268173218},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"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:10.3233/faia231228","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia231228","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231228","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia231228","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia231228","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231228","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390791312.pdf","grobid_xml":"https://content.openalex.org/works/W4390791312.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2050560030","https://openalex.org/W2071602085","https://openalex.org/W2109067379","https://openalex.org/W2984688757","https://openalex.org/W4316467837","https://openalex.org/W4353073840"],"related_works":["https://openalex.org/W2071010365","https://openalex.org/W2995391261","https://openalex.org/W2106075479","https://openalex.org/W3006199805","https://openalex.org/W763284094","https://openalex.org/W4389777263","https://openalex.org/W3171614835","https://openalex.org/W3199929974","https://openalex.org/W2137855330","https://openalex.org/W256275148"],"abstract_inverted_index":{"The":[0,66,129],"atmospheric":[1],"electric":[2],"field":[3],"(AEF)":[4],"has":[5],"significant":[6],"importance":[7],"in":[8,31,63,74,122],"thunderstorm":[9,80,117,185],"warning.":[10],"This":[11],"paper":[12],"first":[13],"analyzed":[14],"AEF":[15,62,88],"variations":[16,102],"during":[17],"thunderstorms":[18],"based":[19],"on":[20],"386":[21],"samples":[22,125,132],"and":[23,81,94,119,137,150],"then":[24],"divided":[25],"the":[26,47,57,61,75,87,95,110,123,139,142],"period":[27],"into":[28],"four":[29],"stages,":[30],"which":[32],"a":[33,98],"certain":[34],"time":[35,146],"stage":[36],"provided":[37],"valuable":[38],"information":[39],"for":[40,126,183],"lightning":[41,127],"prediction.":[42],"It":[43],"was":[44,53,92,181],"defined":[45],"as":[46],"\u201cStage":[48],"T.\u201d":[49],"Fast":[50],"Fourier":[51],"transform":[52],"employed":[54],"to":[55,104,114,135],"study":[56],"frequency-domain":[58],"patterns":[59],"of":[60,101,141,147,153],"this":[64,179],"stage.":[65],"result":[67],"showed":[68],"that":[69,178],"there":[70],"were":[71,133],"notable":[72],"differences":[73],"frequency":[76,89],"spectrum":[77,90],"distribution":[78],"between":[79,116],"non-thunderstorm":[82,105,120],"weather":[83],"conditions.":[84,106],"During":[85],"thunderstorms,":[86],"amplitude":[91],"higher":[93],"waveform":[96],"exhibited":[97],"wide":[99],"range":[100],"compared":[103],"Then":[107],"we":[108],"used":[109,134],"Euclidean":[111],"distance":[112],"classifier":[113],"discriminate":[115],"events":[118,121],"modeling":[124],"forecasting.":[128,186],"remaining":[130],"256":[131],"validate":[136],"evaluate":[138],"effectiveness":[140],"algorithm.":[143],"For":[144],"prediction":[145],"5min,":[148],"15min":[149],"25min,":[151],"probability":[152],"detection(POD)":[154],"is":[155,163,171],"greater":[156,172],"than":[157,165,173],"77.78%,":[158],"false":[159],"alarm":[160],"rate":[161],"(FAR)":[162],"less":[164],"16.67%,":[166],"critical":[167],"success":[168],"index":[169],"(CSI)":[170],"0.57.":[174],"These":[175],"results":[176],"indicated":[177],"method":[180],"effective":[182],"short-term":[184]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
