{"id":"https://openalex.org/W4408594698","doi":"https://doi.org/10.1109/tgrs.2025.3548600","title":"A Neural Network Method for Ozone Retrieval Using Himawari-8/AHI Geo-Satellite Observations","display_name":"A Neural Network Method for Ozone Retrieval Using Himawari-8/AHI Geo-Satellite Observations","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408594698","doi":"https://doi.org/10.1109/tgrs.2025.3548600"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3548600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3548600","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/A5077704835","display_name":"Xingfeng Chen","orcid":"https://orcid.org/0000-0002-9035-363X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingfeng Chen","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9035-363X","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018959362","display_name":"Yichu Yang","orcid":"https://orcid.org/0009-0004-0530-1969"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichu Yang","raw_affiliation_strings":["School of Software Engineering, Jiangxi University of Science and Technology, Nanchang, China"],"raw_orcid":"https://orcid.org/0009-0004-0530-1969","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Jiangxi University of Science and Technology, Nanchang, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008226322","display_name":"Xue Wu","orcid":"https://orcid.org/0000-0003-2913-3627"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Xue","raw_affiliation_strings":["Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078464199","display_name":"Jiaguo Li","orcid":"https://orcid.org/0000-0001-8617-3284"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaguo Li","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8617-3284","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103227976","display_name":"Banghui Yang","orcid":"https://orcid.org/0009-0003-0872-8645"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Banghui Yang","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-0872-8645","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076642136","display_name":"Kaitao Li","orcid":"https://orcid.org/0000-0002-2610-0064"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaitao Li","raw_affiliation_strings":["Space Engineering University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755693","display_name":"Lili Wang","orcid":"https://orcid.org/0000-0002-6505-4064"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210152758","display_name":"Institute of Atmospheric Physics","ror":"https://ror.org/0424h4e32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210152758"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Wang","raw_affiliation_strings":["State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210152758","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440426","display_name":"Lei Li","orcid":"https://orcid.org/0000-0003-4502-7533"},"institutions":[{"id":"https://openalex.org/I4210133131","display_name":"Chinese Academy of Meteorological Sciences","ror":"https://ror.org/034b53w38","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210133131"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["State Key Laboratory of Severe Weather Meteorological Science and Technology (LaSW) and the Key Laboratory of Atmospheric Chemistry (LAC), Chinese Academy of Meteorological Sciences, CMA, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Severe Weather Meteorological Science and Technology (LaSW) and the Key Laboratory of Atmospheric Chemistry (LAC), Chinese Academy of Meteorological Sciences, CMA, Beijing, China","institution_ids":["https://openalex.org/I4210133131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101780992","display_name":"Shumin Liu","orcid":"https://orcid.org/0000-0001-7053-5551"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shumin Liu","raw_affiliation_strings":["School of Software Engineering, Jiangxi University of Science and Technology, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Jiangxi University of Science and Technology, Nanchang, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035836277","display_name":"Gerrit de Leeuw","orcid":"https://orcid.org/0000-0002-1649-6333"},"institutions":[{"id":"https://openalex.org/I1309140791","display_name":"Royal Netherlands Meteorological Institute","ror":"https://ror.org/05dfgh554","country_code":"NL","type":"government","lineage":["https://openalex.org/I1309140791","https://openalex.org/I331567899","https://openalex.org/I4210140876"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gerrit de Leeuw","raw_affiliation_strings":["Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-1649-6333","affiliations":[{"raw_affiliation_string":"Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands","institution_ids":["https://openalex.org/I1309140791"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"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":0.04908546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11320","display_name":"Atmospheric Ozone and Climate","score":0.9753999710083008,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9573000073432922,"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/satellite","display_name":"Satellite","score":0.7100445032119751},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6610276699066162},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5305379033088684},{"id":"https://openalex.org/keywords/ozone","display_name":"Ozone","score":0.5180690288543701},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49171239137649536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4507468044757843},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4393082559108734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2219729721546173},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1593734622001648},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.12799805402755737},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09596177935600281}],"concepts":[{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.7100445032119751},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6610276699066162},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5305379033088684},{"id":"https://openalex.org/C508106653","wikidata":"https://www.wikidata.org/wiki/Q36933","display_name":"Ozone","level":2,"score":0.5180690288543701},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49171239137649536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4507468044757843},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4393082559108734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2219729721546173},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1593734622001648},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.12799805402755737},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09596177935600281}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3548600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3548600","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G3402699255","display_name":null,"funder_award_id":"42171342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5819268032","display_name":null,"funder_award_id":"42275195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6239260922","display_name":null,"funder_award_id":"2023YFB3907700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1514355420","https://openalex.org/W1942437568","https://openalex.org/W1977184325","https://openalex.org/W1987352575","https://openalex.org/W1995961634","https://openalex.org/W1996713384","https://openalex.org/W2014434156","https://openalex.org/W2027404493","https://openalex.org/W2108351774","https://openalex.org/W2115577276","https://openalex.org/W2139977237","https://openalex.org/W2178333445","https://openalex.org/W2345254164","https://openalex.org/W2434611631","https://openalex.org/W2598031309","https://openalex.org/W2745483395","https://openalex.org/W2924266983","https://openalex.org/W2941297605","https://openalex.org/W3002649744","https://openalex.org/W3025949386","https://openalex.org/W3046736293","https://openalex.org/W3187631632","https://openalex.org/W3190822217","https://openalex.org/W3202088448","https://openalex.org/W4212917383","https://openalex.org/W4308100537","https://openalex.org/W4308441629","https://openalex.org/W4312065356","https://openalex.org/W4312701586","https://openalex.org/W4321447366","https://openalex.org/W4382706190","https://openalex.org/W4382897051","https://openalex.org/W4384264274","https://openalex.org/W4388655214","https://openalex.org/W4390964138","https://openalex.org/W4404790956"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4220736769","https://openalex.org/W4255838785","https://openalex.org/W2045240273","https://openalex.org/W1973746152","https://openalex.org/W2332134708","https://openalex.org/W2013329914","https://openalex.org/W2392383081","https://openalex.org/W1618102658"],"abstract_inverted_index":{"Ozone":[0],"is":[1,39,83,133,224,245],"a":[2,96,113,137,168,181],"crucial":[3],"atmospheric":[4,33],"trace":[5],"gas":[6],"that":[7],"protects":[8],"life":[9],"on":[10],"Earth":[11],"from":[12,73,104],"harmful":[13],"ultraviolet":[14],"radiation.":[15],"However,":[16],"at":[17,119],"low":[18,68],"altitudes":[19],"in":[20,147,226,230,237],"the":[21,65,105,234,246],"troposphere,":[22],"ozone":[23,34,58,100,115,130],"adversely":[24],"impacts":[25],"climate,":[26],"human":[27],"health,":[28],"and":[29,36,46,180,213,260],"ecosystems.":[30],"Therefore,":[31],"monitoring":[32,42,59],"concentration":[35],"spatial":[37,169],"distribution":[38],"essential.":[40],"Ground-based":[41],"sites":[43],"are":[44,191],"sparse":[45],"do":[47],"not":[48],"provide":[49],"comprehensive":[50],"coverage.":[51],"Satellites":[52],"have":[53,64],"been":[54],"used":[55,134],"for":[56,60,99,252],"global":[57],"decades.":[61],"Polar-orbiting":[62],"satellites":[63],"disadvantage":[66],"of":[67,150,171,184,202,211,218,242,248],"temporal":[69,182],"resolution,":[70],"providing":[71],"data":[72,88,103,132,190],"one":[74,249],"overpass":[75],"per":[76],"day":[77],"under":[78],"cloud-free":[79,148],"conditions.":[80],"Better":[81],"coverage":[82],"obtained":[84],"by":[85],"using":[86,102],"geostationary":[87,108,250],"offering":[89,255],"multiple":[90],"observations":[91],"daily.":[92],"This":[93],"study":[94,244],"proposes":[95],"neural":[97,140],"network":[98,141],"retrieval":[101,222],"Himawari-8":[106],"(H8)":[107],"satellite":[109,251],"(NNO3-G),":[110],"which":[111],"has":[112,167],"strong":[114],"absorption":[116],"spectral":[117],"band":[118],"<inline-formula":[120,172,204],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[121,173,205],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[122,174,206],"<tex-math":[123,175,207],"notation=\"LaTeX\">$9.6~\\mu":[124],"$":[125],"</tex-math></inline-formula>m.":[126],"ERA5":[127],"total":[128],"column":[129],"(TCO)":[131],"to":[135,144],"train":[136],"fully":[138],"connected":[139],"(FCNN)":[142],"model":[143],"retrieve":[145],"TCO":[146,165,189],"areas":[149],"H8":[151],"images.":[152],"FCNN":[153],"shows":[154],"best":[155,235],"accuracy":[156,223],"compared":[157],"with":[158,193,197,233],"other":[159],"machine":[160],"learning":[161],"models.":[162],"The":[163,187,221,239],"retrieved":[164],"product":[166],"resolution":[170,183,259],"notation=\"LaTeX\">$2\\times":[176],"2$":[177],"</tex-math></inline-formula>":[178,210],"km":[179],"10":[185],"min.":[186],"NNO3-G-retrieved":[188],"well-correlated":[192],"Pandora":[194],"ground-based":[195],"measurements,":[196],"Pearson\u2019s":[198],"correlation":[199],"coefficient":[200],"R":[201],"0.95,":[203],"notation=\"LaTeX\">${R}":[208],"^{2}$":[209],"0.89,":[212],"mean":[214],"absolute":[215],"error":[216],"(MAE)":[217],"8.88":[219],"DU.":[220],"better":[225],"low-latitude":[227],"regions":[228],"than":[229],"high-latitude":[231],"regions,":[232],"performance":[236],"summer.":[238],"major":[240],"outcome":[241],"this":[243],"use":[247],"retrieving":[253],"TCO,":[254],"both":[256],"high":[257,261],"time":[258],"precision.":[262]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
