{"id":"https://openalex.org/W4414693245","doi":"https://doi.org/10.1109/tgrs.2025.3616026","title":"Tropical Cyclone Intensity Forecasting Using Multimodal Data Fusion Guided by Sequential Infrared Satellite Images","display_name":"Tropical Cyclone Intensity Forecasting Using Multimodal Data Fusion Guided by Sequential Infrared Satellite Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414693245","doi":"https://doi.org/10.1109/tgrs.2025.3616026"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3616026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3616026","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5071898642","display_name":"Changjiang Zhang","orcid":"https://orcid.org/0000-0002-2170-3878"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chang-Jiang Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Taizhou University, Taizhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Taizhou University, Taizhou, China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113898300","display_name":"Liyu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Yu Xu","raw_affiliation_strings":["College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua, China"],"affiliations":[{"raw_affiliation_string":"College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035813695","display_name":"Leiming Ma","orcid":"https://orcid.org/0000-0003-0103-5830"},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei-Ming Ma","raw_affiliation_strings":["Shanghai Typhoon Institute of the China Meteorological Administration, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Typhoon Institute of the China Meteorological Administration, Shanghai, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103502404","display_name":"Xuantao Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I141301092","display_name":"China Meteorological Administration","ror":"https://ror.org/00bx3rb98","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Qin Lu","raw_affiliation_strings":["Shanghai Typhoon Institute of the China Meteorological Administration, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Typhoon Institute of the China Meteorological Administration, Shanghai, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725394","display_name":"Peng He","orcid":"https://orcid.org/0009-0005-6628-6181"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng He","raw_affiliation_strings":["School of Artificial Intelligence, Taizhou University, Taizhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Taizhou University, Taizhou, China","institution_ids":["https://openalex.org/I82760581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059890337","display_name":"Wei Xue","orcid":"https://orcid.org/0000-0003-3257-7755"},"institutions":[{"id":"https://openalex.org/I4210140332","display_name":"Zhejiang Meteorological Bureau","ror":"https://ror.org/03c94t831","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210140332"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Wei","raw_affiliation_strings":["Taizhou Meteorological Bureau, Taizhou, China"],"affiliations":[{"raw_affiliation_string":"Taizhou Meteorological Bureau, Taizhou, China","institution_ids":["https://openalex.org/I4210140332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115602791","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0002-2597-1247"},"institutions":[{"id":"https://openalex.org/I82760581","display_name":"Taizhou University","ror":"https://ror.org/04fzhyx73","country_code":"CN","type":"education","lineage":["https://openalex.org/I82760581"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["School of Artificial Intelligence, Taizhou University, Taizhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Taizhou University, Taizhou, China","institution_ids":["https://openalex.org/I82760581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5071898642"],"corresponding_institution_ids":["https://openalex.org/I82760581"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31313157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9409999847412109,"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":0.9409999847412109,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9172999858856201,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tropical-cyclone","display_name":"Tropical cyclone","score":0.8125},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5814999938011169},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.4456000030040741},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4381999969482422},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41920000314712524},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4065999984741211},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.39430001378059387},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.38830000162124634},{"id":"https://openalex.org/keywords/cyclone","display_name":"Cyclone (programming language)","score":0.37450000643730164}],"concepts":[{"id":"https://openalex.org/C29141058","wikidata":"https://www.wikidata.org/wiki/Q8092","display_name":"Tropical cyclone","level":2,"score":0.8125},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6259999871253967},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5814999938011169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.567799985408783},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.46540001034736633},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.4456000030040741},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4381999969482422},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.40880000591278076},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.38830000162124634},{"id":"https://openalex.org/C2777864850","wikidata":"https://www.wikidata.org/wiki/Q79598","display_name":"Cyclone (programming language)","level":3,"score":0.37450000643730164},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35429999232292175},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.3240000009536743},{"id":"https://openalex.org/C102561126","wikidata":"https://www.wikidata.org/wiki/Q17164865","display_name":"Tropical cyclone forecast model","level":3,"score":0.31459999084472656},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C168754636","wikidata":"https://www.wikidata.org/wiki/Q620920","display_name":"Climate model","level":3,"score":0.30790001153945923},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2939000129699707},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27810001373291016},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3616026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3616026","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3798255974","display_name":null,"funder_award_id":"42075140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"deep":[1],"learning":[2],"methods":[3],"for":[4,65,96,180],"predicting":[5,171],"tropical":[6,73,131,172],"cyclone":[7,34,74,132,173],"intensity":[8,174],"are":[9],"restricted":[10],"by":[11,49],"inadequate":[12],"utilization":[13],"of":[14,33,62,72,101,105,129,140],"climate":[15,63,106],"factors,":[16],"insufficient":[17],"feature":[18,70],"fusion,":[19],"and":[20,153,175,183],"the":[21,31,85,93,102,127,138,141,163],"inability":[22],"to":[23,28,87,160],"automatically":[24],"adapt":[25],"input":[26],"data":[27,45,95],"changes":[29],"in":[30,92,170],"scale":[32,128],"structures.":[35],"To":[36,111,136],"address":[37],"these":[38],"challenges,":[39],"this":[40],"paper":[41],"proposes":[42],"a":[43,59,66,79,97,130],"multimodal":[44],"fusion":[46],"model":[47,57,86,166],"guided":[48],"sequential":[50,94],"infrared":[51],"satellite":[52],"images":[53],"(IRGMF).":[54],"The":[55],"IRGMF":[56,165],"integrates":[58],"broader":[60],"range":[61],"factors":[64,107],"more":[67,98],"comprehensive,":[68],"enriched":[69],"representation":[71],"intensity.":[75],"Additionally,":[76],"we":[77,115,144],"designed":[78],"temporal":[80],"attention":[81],"module":[82,120],"that":[83,121],"allows":[84],"focus":[88],"on":[89,147],"critical":[90],"moments":[91],"precise":[99],"capture":[100],"dynamic":[103],"features":[104],"as":[108],"they":[109],"evolve.":[110],"enhance":[112],"prediction":[113],"accuracy,":[114],"also":[116],"developed":[117],"an":[118],"attention-cropping":[119],"adaptively":[122],"crops":[123],"irrelevant":[124],"information":[125,179],"outside":[126],"from":[133],"reanalysis":[134],"data.":[135],"validate":[137],"effectiveness":[139],"proposed":[142,164],"model,":[143],"conducted":[145],"experiments":[146],"multiple":[148],"datasets,":[149],"including":[150],"CMA-BST,":[151],"ERA5,":[152],"GridSat-B1.":[154],"Experimental":[155],"results":[156],"show":[157],"that,":[158],"compared":[159],"existing":[161],"methods,":[162],"demonstrates":[167],"significant":[168],"advantages":[169],"provides":[176],"superior":[177],"accurate":[178],"meteorological":[181],"forecasting":[182],"decision":[184],"support.":[185]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
