{"id":"https://openalex.org/W4392644916","doi":"https://doi.org/10.3390/rs16060984","title":"Short-Term Intensity Prediction of Tropical Cyclones Based on Multi-Source Data Fusion with Adaptive Weight Learning","display_name":"Short-Term Intensity Prediction of Tropical Cyclones Based on Multi-Source Data Fusion with Adaptive Weight Learning","publication_year":2024,"publication_date":"2024-03-11","ids":{"openalex":"https://openalex.org/W4392644916","doi":"https://doi.org/10.3390/rs16060984"},"language":"en","primary_location":{"id":"doi:10.3390/rs16060984","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16060984","pdf_url":"https://www.mdpi.com/2072-4292/16/6/984/pdf?version=1710150444","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/6/984/pdf?version=1710150444","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006971815","display_name":"Wei Tian","orcid":"https://orcid.org/0000-0001-8113-3718"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Tian","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, No. 219, Ningliu Road, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, No. 219, Ningliu Road, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107748712","display_name":"Ping Song","orcid":"https://orcid.org/0009-0001-7727-7417"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Song","raw_affiliation_strings":["School of Computer, Nanjing University of Information Science and Technology, No. 219, Ningliu Road, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Nanjing University of Information Science and Technology, No. 219, Ningliu Road, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437883","display_name":"Yuanyuan Chen","orcid":"https://orcid.org/0000-0003-0687-1643"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Chen","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, No. 219, Ningliu Road, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, No. 219, Ningliu Road, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107748412","display_name":"Haifeng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Xu","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, No. 219, Ningliu Road, Nanjing 210044, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, No. 219, Ningliu Road, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cheng Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng Jin","raw_affiliation_strings":["Key Laboratory of Smart Earth, Beijing 100000, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Smart Earth, Beijing 100000, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059323330","display_name":"Kenny Thiam Choy Lim Kam Sian","orcid":"https://orcid.org/0000-0002-8328-8745"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenny Thiam Choy Lim Kam Sian","raw_affiliation_strings":["School of Atmospheric Science and Remote Sensing, Wuxi University, 333 Xishan Avenue, Wuxi 214105, China"],"affiliations":[{"raw_affiliation_string":"School of Atmospheric Science and Remote Sensing, Wuxi University, 333 Xishan Avenue, Wuxi 214105, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5006971815"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.5423,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87952997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"6","first_page":"984","last_page":"984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T11061","display_name":"Ocean Waves and Remote Sensing","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10029","display_name":"Climate variability and models","score":0.9667999744415283,"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":0.6981765031814575},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5825571417808533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5628821849822998},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5204004049301147},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4347192943096161},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4318455457687378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42140114307403564},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4181605875492096},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.41016873717308044},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3640742301940918},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3632442355155945},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1946854591369629},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17523396015167236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1563149392604828}],"concepts":[{"id":"https://openalex.org/C29141058","wikidata":"https://www.wikidata.org/wiki/Q8092","display_name":"Tropical cyclone","level":2,"score":0.6981765031814575},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5825571417808533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5628821849822998},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5204004049301147},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4347192943096161},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4318455457687378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42140114307403564},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4181605875492096},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.41016873717308044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3640742301940918},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3632442355155945},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1946854591369629},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17523396015167236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1563149392604828},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16060984","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16060984","pdf_url":"https://www.mdpi.com/2072-4292/16/6/984/pdf?version=1710150444","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1319e610b6aa4a86aad8833371433de3","is_oa":true,"landing_page_url":"https://doaj.org/article/1319e610b6aa4a86aad8833371433de3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 6, p 984 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16060984","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16060984","pdf_url":"https://www.mdpi.com/2072-4292/16/6/984/pdf?version=1710150444","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1225778452","display_name":null,"funder_award_id":"42375147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G321248615","display_name":null,"funder_award_id":"42075138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3469420050","display_name":null,"funder_award_id":"BE2023829","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8633030175","display_name":null,"funder_award_id":"4207513","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392644916.pdf"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1645858368","https://openalex.org/W1983252279","https://openalex.org/W1999475387","https://openalex.org/W2003930975","https://openalex.org/W2022486567","https://openalex.org/W2023260243","https://openalex.org/W2037758896","https://openalex.org/W2051777122","https://openalex.org/W2079450987","https://openalex.org/W2096538718","https://openalex.org/W2147753218","https://openalex.org/W2157286938","https://openalex.org/W2471668951","https://openalex.org/W2473388235","https://openalex.org/W2498440341","https://openalex.org/W2786384159","https://openalex.org/W2791764259","https://openalex.org/W2809068461","https://openalex.org/W2809381768","https://openalex.org/W2902003737","https://openalex.org/W2912394463","https://openalex.org/W2944681516","https://openalex.org/W2975490674","https://openalex.org/W2996477729","https://openalex.org/W2998068843","https://openalex.org/W2998358146","https://openalex.org/W3002152246","https://openalex.org/W3021357433","https://openalex.org/W3084018155","https://openalex.org/W3088132247","https://openalex.org/W3105826485","https://openalex.org/W3130207954","https://openalex.org/W3143274035","https://openalex.org/W3149025084","https://openalex.org/W3165941698","https://openalex.org/W3175911183","https://openalex.org/W3195722073","https://openalex.org/W3212309402","https://openalex.org/W4206096691","https://openalex.org/W4206634332","https://openalex.org/W4221007943","https://openalex.org/W4280581297","https://openalex.org/W4280638202","https://openalex.org/W4306406469","https://openalex.org/W4306711535","https://openalex.org/W4306769739","https://openalex.org/W4311910646","https://openalex.org/W4312375368","https://openalex.org/W4315651321","https://openalex.org/W4318215338","https://openalex.org/W4321020641","https://openalex.org/W4327811049","https://openalex.org/W4366492396","https://openalex.org/W4372260072","https://openalex.org/W4381795066","https://openalex.org/W4385293890","https://openalex.org/W4386168289","https://openalex.org/W6790909212","https://openalex.org/W6792733025"],"related_works":["https://openalex.org/W2521323964","https://openalex.org/W2560840720","https://openalex.org/W280270002","https://openalex.org/W2804075400","https://openalex.org/W1124311373","https://openalex.org/W2319362304","https://openalex.org/W4391621807","https://openalex.org/W2339051591","https://openalex.org/W2047055318","https://openalex.org/W2536970516"],"abstract_inverted_index":{"Tropical":[0],"cyclones":[1],"(TCs)":[2],"can":[3,102],"cause":[4],"significant":[5],"economic":[6],"damage":[7],"and":[8,35,88,112,127,156,167,171,182,199,214],"loss":[9],"of":[10,46,69,82,108,142,178,195,229],"life":[11],"in":[12,23,91],"coastal":[13],"areas.":[14],"Therefore,":[15],"TC":[16,29,47,85,109,169,185,219,234],"prediction":[17,31,37,59,187],"has":[18,32],"become":[19],"a":[20,39,54,99,122,176,223],"crucial":[21],"topic":[22],"current":[24],"research.":[25],"In":[26,49,134],"recent":[27],"years,":[28],"track":[30],"progressed":[33],"considerably,":[34],"intensity":[36,58,76,186,220,237],"remains":[38],"challenge":[40],"due":[41],"to":[42,93,137,152,165,191,208],"the":[43,67,70,79,106,116,138,193,200,212,233],"complex":[44],"mechanism":[45],"structure.":[48],"this":[50],"study,":[51],"we":[52,97],"propose":[53],"model":[55,205],"for":[56,66,232],"short-term":[57],"based":[60],"on":[61,175,211],"adaptive":[62,128],"weight":[63,129],"learning":[64,130],"(AWL-Net)":[65],"evolution":[68],"TC\u2019s":[71],"structure":[72,113,124],"as":[73,75],"well":[74,210],"changes,":[77,221],"exploring":[78],"multidimensional":[80],"fusion":[81],"features":[83,141,216],"including":[84],"morphology,":[86],"structure,":[87],"scale.":[89],"Furthermore,":[90],"addition":[92],"using":[94],"satellite":[95],"imageries,":[96],"construct":[98],"dataset":[100],"that":[101,203],"more":[103],"comprehensively":[104],"explore":[105],"degree":[107],"cloud":[110],"organization":[111],"evolution.":[114],"Considering":[115],"information":[117],"difference":[118],"between":[119],"multi-source":[120],"data,":[121],"multi-branch":[123],"is":[125,132,150,163,206],"constructed":[126],"(AWL)":[131],"designed.":[133],"addition,":[135],"according":[136],"three-dimensional":[139],"dynamic":[140],"TC,":[143],"3D":[144,158],"Convolutional":[145,159],"Gated":[146],"Recurrent":[147],"(3D":[148],"ConvGRU)":[149],"used":[151,164,190],"achieve":[153],"feature":[154],"enhancement,":[155],"then":[157],"Neural":[160],"Network":[161],"(CNN)":[162],"capture":[166],"learn":[168],"temporal":[170,215],"spatial":[172,213],"features.":[173],"Experiments":[174],"sample":[177],"northwest":[179],"Pacific":[180],"TCs":[181],"official":[183],"agency":[184],"records":[188],"are":[189],"validate":[192],"effectiveness":[194],"our":[196,204],"proposed":[197],"model,":[198],"results":[201],"show":[202],"able":[207],"focus":[209],"associated":[217],"with":[218,222],"root":[224],"mean":[225],"square":[226],"error":[227],"(RMSE)":[228],"10.62":[230],"kt":[231],"24":[235],"h":[236],"forecast.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-20T07:46:08.049788","created_date":"2025-10-10T00:00:00"}