{"id":"https://openalex.org/W7138893468","doi":"https://doi.org/10.1609/aaai.v40i45.41174","title":"Efficient Forecasting of Geostationary Infrared Brightness Temperature Sequences: A Benchmark and a Lightweight Model","display_name":"Efficient Forecasting of Geostationary Infrared Brightness Temperature Sequences: A Benchmark and a Lightweight Model","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138893468","doi":"https://doi.org/10.1609/aaai.v40i45.41174"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i45.41174","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i45.41174","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i45.41174","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074837164","display_name":"Kuai Dai","orcid":"https://orcid.org/0000-0002-9921-4249"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kuai Dai","raw_affiliation_strings":["The Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000508084","display_name":"Hua Su","orcid":"https://orcid.org/0000-0002-5969-0363"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hui Su","raw_affiliation_strings":["The Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129985274","display_name":"Xutao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xutao Li","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130071888","display_name":"Chengxing Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chengxing Zhai","raw_affiliation_strings":["The Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26254826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"45","first_page":"38340","last_page":"38348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.39340001344680786,"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"}},"topics":[{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.39340001344680786,"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"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.3709999918937683,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.11180000007152557,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geostationary-orbit","display_name":"Geostationary orbit","score":0.8154000043869019},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7347999811172485},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.5328999757766724},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.51910001039505},{"id":"https://openalex.org/keywords/geostationary-operational-environmental-satellite","display_name":"Geostationary Operational Environmental Satellite","score":0.446399986743927},{"id":"https://openalex.org/keywords/brightness-temperature","display_name":"Brightness temperature","score":0.4377000033855438},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4221000075340271},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4104999899864197},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.39089998602867126}],"concepts":[{"id":"https://openalex.org/C16405173","wikidata":"https://www.wikidata.org/wiki/Q192316","display_name":"Geostationary orbit","level":3,"score":0.8154000043869019},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7347999811172485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752000212669373},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.5328999757766724},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.515999972820282},{"id":"https://openalex.org/C104110773","wikidata":"https://www.wikidata.org/wiki/Q976688","display_name":"Geostationary Operational Environmental Satellite","level":3,"score":0.446399986743927},{"id":"https://openalex.org/C53802167","wikidata":"https://www.wikidata.org/wiki/Q4538627","display_name":"Brightness temperature","level":3,"score":0.4377000033855438},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4221000075340271},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4104999899864197},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.40230000019073486},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.38929998874664307},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C118365302","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric model","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3463999927043915},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C51295201","wikidata":"https://www.wikidata.org/wiki/Q757528","display_name":"Infrared window","level":3,"score":0.3100000023841858},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C2779067591","wikidata":"https://www.wikidata.org/wiki/Q3628987","display_name":"Atmospheric Infrared Sounder","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2802000045776367},{"id":"https://openalex.org/C62279395","wikidata":"https://www.wikidata.org/wiki/Q4817115","display_name":"Atmospheric models","level":3,"score":0.2782999873161316},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C9466671","wikidata":"https://www.wikidata.org/wiki/Q1259526","display_name":"Radiant energy","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26019999384880066},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C72293138","wikidata":"https://www.wikidata.org/wiki/Q909741","display_name":"Temperature measurement","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C128849468","wikidata":"https://www.wikidata.org/wiki/Q1341258","display_name":"Energy budget","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1609/aaai.v40i45.41174","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i45.41174","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-172219","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-172219","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:ojs.aaai.org:article/41174","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/41174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i45.41174","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i45.41174","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7908620238304138,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Forecasting":[0],"geostationary":[1],"infrared":[2],"brightness":[3],"temperature":[4],"sequences":[5],"from":[6],"historical":[7],"observations":[8],"is":[9],"a":[10,60,67,104,110],"significant":[11],"and":[12,23,44,95,108,129,141],"challenging":[13],"task.":[14,57],"By":[15],"analyzing":[16],"these":[17,100],"predictions,":[18],"cloud":[19],"evolution,":[20],"convective":[21],"activity,":[22],"atmospheric":[24],"radiative":[25],"states":[26],"can":[27],"be":[28],"revealed":[29],"in":[30,36],"advance,":[31],"offering":[32],"high":[33],"potential":[34],"value":[35],"domains":[37],"such":[38],"as":[39,59],"weather":[40],"nowcasting,":[41],"energy":[42],"management,":[43],"disaster":[45],"monitoring.":[46],"Recently,":[47],"artificial":[48],"intelligence":[49],"techniques":[50],"have":[51],"provided":[52],"valuable":[53],"insights":[54],"into":[55],"this":[56,82],"However,":[58],"nascent":[61],"research":[62],"area,":[63],"the":[64,89],"lack":[65],"of":[66,91],"standardized,":[68],"high-quality":[69],"benchmark":[70],"has":[71],"significantly":[72],"impeded":[73],"progress.":[74],"Moreover,":[75],"training":[76],"existing":[77],"deep":[78],"learning":[79],"models":[80],"for":[81],"task":[83],"remains":[84],"computationally":[85],"expensive":[86],"due":[87],"to":[88,121],"complexity":[90],"their":[92],"network":[93],"architectures":[94],"modeling":[96],"mechanisms.":[97],"To":[98],"address":[99],"challenges,":[101],"we":[102],"introduce":[103],"new":[105],"benchmark,":[106],"FY4ABT,":[107],"propose":[109],"lightweight":[111],"prediction":[112,124],"model,":[113],"WavePredNet.":[114],"Specifically,":[115],"FY4ABT":[116],"comprises":[117],"three":[118],"sub-datasets":[119],"designed":[120],"respectively":[122],"evaluate":[123],"performance":[125],"under":[126],"short-term,":[127],"medium-term,":[128],"long-term":[130],"scenarios.":[131],"Meanwhile,":[132],"WavePredNet":[133],"effectively":[134],"captures":[135],"multi-scale":[136],"dynamics,":[137],"including":[138],"both":[139],"low-":[140],"high-frequency":[142],"components":[143],"with":[144],"low":[145],"computational":[146],"costs":[147],"while":[148],"delivering":[149],"exceptional":[150],"performance.":[151]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-20T00:00:00"}
