{"id":"https://openalex.org/W4390871088","doi":"https://doi.org/10.2151/jmsj.2024-011","title":"Retrieval of High-Frequency Temperature Profiles by FY-4A/GIIRS Based on Generalized Ensemble Learning","display_name":"Retrieval of High-Frequency Temperature Profiles by FY-4A/GIIRS Based on Generalized Ensemble Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390871088","doi":"https://doi.org/10.2151/jmsj.2024-011"},"language":"en","primary_location":{"id":"doi:10.2151/jmsj.2024-011","doi":"https://doi.org/10.2151/jmsj.2024-011","is_oa":true,"landing_page_url":"https://doi.org/10.2151/jmsj.2024-011","pdf_url":"https://www.jstage.jst.go.jp/article/jmsj/advpub/0/advpub_2024-011/_pdf","source":{"id":"https://openalex.org/S2764910039","display_name":"Journal of the Meteorological Society of Japan Ser II","issn_l":"0026-1165","issn":["0026-1165","2186-9049","2186-9057"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-a","jufo-1","norway-1","oarl","poland-200","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310313579","host_organization_name":"The Meteorological Society of Japan","host_organization_lineage":["https://openalex.org/P4310313579"],"host_organization_lineage_names":["The Meteorological Society of Japan"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Meteorological Society of Japan. Ser. II","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.jstage.jst.go.jp/article/jmsj/advpub/0/advpub_2024-011/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088166724","display_name":"Gen Wang","orcid":"https://orcid.org/0000-0002-0319-3528","observed_orcids":["https://orcid.org/0000-0002-0319-3528","https://orcid.org/0000-0003-3104-1211"]},"institutions":[{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gen WANG","raw_affiliation_strings":["School of Electronic Engineering, Chaohu University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Chaohu University, China","institution_ids":["https://openalex.org/I46520130"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei HAN","orcid":null,"observed_orcids":[]},"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":"Wei HAN","raw_affiliation_strings":["CMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113115313","display_name":"Song Yuan","orcid":"https://orcid.org/0009-0004-3166-6654","observed_orcids":["https://orcid.org/0009-0004-3166-6654"]},"institutions":[{"id":"https://openalex.org/I4210152545","display_name":"Anhui Provincial Meteorological Bureau","ror":"https://ror.org/04zrrk968","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210152545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song YUAN","raw_affiliation_strings":["Anhui Meteorological Observatory, Anhui Meteorological Bureau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Meteorological Observatory, Anhui Meteorological Bureau, China","institution_ids":["https://openalex.org/I4210152545"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing WANG","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing WANG","raw_affiliation_strings":["School of Electronic Engineering, Chaohu University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Chaohu University, China","institution_ids":["https://openalex.org/I46520130"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081673870","display_name":"Ruoying Yin","orcid":"https://orcid.org/0000-0001-8158-3583","observed_orcids":["https://orcid.org/0000-0001-8158-3583"]},"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":"Ruo-Ying YIN","raw_affiliation_strings":["CMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMA Earth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, China","institution_ids":["https://openalex.org/I141301092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102748473","display_name":"Ye Song","orcid":"https://orcid.org/0009-0003-8967-0413","observed_orcids":["https://orcid.org/0009-0003-8967-0413"]},"institutions":[{"id":"https://openalex.org/I46520130","display_name":"Chaohu University","ror":"https://ror.org/00mwds915","country_code":"CN","type":"education","lineage":["https://openalex.org/I46520130"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song YE","raw_affiliation_strings":["School of Electronic Engineering, Chaohu University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Chaohu University, China","institution_ids":["https://openalex.org/I46520130"]}]},{"author_position":"last","author":{"id":null,"display_name":"Feng XIE","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210152545","display_name":"Anhui Provincial Meteorological Bureau","ror":"https://ror.org/04zrrk968","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210152545"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng XIE","raw_affiliation_strings":["Anhui Meteorological Observatory, Anhui Meteorological Bureau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Meteorological Observatory, Anhui Meteorological Bureau, China","institution_ids":["https://openalex.org/I4210152545"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":220000,"currency":"JPY","value_usd":1657},"apc_paid":{"value":220000,"currency":"JPY","value_usd":1657},"fwci":1.1675,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71435231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"102","issue":"2","first_page":"241","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9833999872207642,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9833999872207642,"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/T12125","display_name":"Aerospace and Aviation Technology","score":0.002099999925121665,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12019","display_name":"Calibration and Measurement Techniques","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/atmospheric-temperature-profile-retrieval","display_name":"atmospheric temperature profile retrieval","score":0.9869999885559082},{"id":"https://openalex.org/keywords/hyperspectral-infrared-sounding","display_name":"hyperspectral infrared sounding","score":0.7070000171661377},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.6039999723434448},{"id":"https://openalex.org/keywords/permutation-feature-importance","display_name":"permutation importance","score":0.8339999914169312},{"id":"https://openalex.org/keywords/lightgbm","display_name":"LightGBM","score":0.7850000262260437},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.8209999799728394},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9810000061988831},{"id":"https://openalex.org/keywords/typhoons","display_name":"typhoons","score":0.5299999713897705},{"id":"https://openalex.org/keywords/typhoon-lekima","display_name":"Typhoon Lekima","score":0.9259999990463257},{"id":"https://openalex.org/keywords/era5-reanalysis","display_name":"ERA5 reanalysis","score":0.7480000257492065},{"id":"https://openalex.org/keywords/radiosonde-validation","display_name":"radiosonde validation","score":0.7269999980926514}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6413056254386902},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.586578369140625},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.570476233959198},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.564894437789917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5421252846717834},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4560856521129608},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4293566942214966},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42481136322021484},{"id":"https://openalex.org/C181654704","wikidata":"https://www.wikidata.org/wiki/Q140588","display_name":"Typhoon","level":2,"score":0.413643479347229},{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.41202664375305176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3960631489753723},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38570183515548706},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2460162341594696},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10830873250961304},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2151/jmsj.2024-011","doi":"https://doi.org/10.2151/jmsj.2024-011","is_oa":true,"landing_page_url":"https://doi.org/10.2151/jmsj.2024-011","pdf_url":"https://www.jstage.jst.go.jp/article/jmsj/advpub/0/advpub_2024-011/_pdf","source":{"id":"https://openalex.org/S2764910039","display_name":"Journal of the Meteorological Society of Japan Ser II","issn_l":"0026-1165","issn":["0026-1165","2186-9049","2186-9057"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-a","jufo-1","norway-1","oarl","poland-200","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310313579","host_organization_name":"The Meteorological Society of Japan","host_organization_lineage":["https://openalex.org/P4310313579"],"host_organization_lineage_names":["The Meteorological Society of Japan"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Meteorological Society of Japan. Ser. II","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2151/jmsj.2024-011","doi":"https://doi.org/10.2151/jmsj.2024-011","is_oa":true,"landing_page_url":"https://doi.org/10.2151/jmsj.2024-011","pdf_url":"https://www.jstage.jst.go.jp/article/jmsj/advpub/0/advpub_2024-011/_pdf","source":{"id":"https://openalex.org/S2764910039","display_name":"Journal of the Meteorological Society of Japan Ser II","issn_l":"0026-1165","issn":["0026-1165","2186-9049","2186-9057"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-a","jufo-1","norway-1","oarl","poland-200","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310313579","host_organization_name":"The Meteorological Society of Japan","host_organization_lineage":["https://openalex.org/P4310313579"],"host_organization_lineage_names":["The Meteorological Society of Japan"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Meteorological Society of Japan. Ser. II","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5351999998092651}],"study_designs":[],"awards":[{"id":"https://openalex.org/G2173398541","display_name":null,"funder_award_id":"41805080","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G5169616969","display_name":null,"funder_award_id":"2108085QD183","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G5920376428","display_name":null,"funder_award_id":"41805080","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"},{"id":"https://openalex.org/F4320330920","display_name":"Chaohu University","ror":"https://ror.org/00mwds915"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390871088.pdf","grobid_xml":"https://content.openalex.org/works/W4390871088.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1183254320","https://openalex.org/W1534477342","https://openalex.org/W1875061881","https://openalex.org/W1978171619","https://openalex.org/W1981276685","https://openalex.org/W2006196110","https://openalex.org/W2038142310","https://openalex.org/W2055249140","https://openalex.org/W2102636708","https://openalex.org/W2105468222","https://openalex.org/W2140957890","https://openalex.org/W2157578793","https://openalex.org/W2167055186","https://openalex.org/W2471657515","https://openalex.org/W2567628229","https://openalex.org/W2597737272","https://openalex.org/W2624781867","https://openalex.org/W2754569174","https://openalex.org/W2754717837","https://openalex.org/W2761315552","https://openalex.org/W2773139411","https://openalex.org/W2791517694","https://openalex.org/W2900085493","https://openalex.org/W2911964244","https://openalex.org/W2914579103","https://openalex.org/W2962768350","https://openalex.org/W2967602207","https://openalex.org/W2986750949","https://openalex.org/W2995649053","https://openalex.org/W3000509103","https://openalex.org/W3003846553","https://openalex.org/W3024326514","https://openalex.org/W3034862025","https://openalex.org/W3096665883","https://openalex.org/W3097919474","https://openalex.org/W3127888577","https://openalex.org/W3165968188","https://openalex.org/W3173786536","https://openalex.org/W3178508539","https://openalex.org/W3207817912","https://openalex.org/W3217348565","https://openalex.org/W4223527147","https://openalex.org/W4280595385","https://openalex.org/W4281744857","https://openalex.org/W4316664557"],"related_works":["https://openalex.org/W4399172920","https://openalex.org/W3127888577","https://openalex.org/W7154349369","https://openalex.org/W4306964466","https://openalex.org/W7171688506","https://openalex.org/W3034304636","https://openalex.org/W4285220425","https://openalex.org/W7124679482","https://openalex.org/W2105468222","https://openalex.org/W4412624236"],"abstract_inverted_index":{"The":[0,18,176,198,242,252,306],"temperature":[1,34,66,170,204,250,288],"profile":[2,67,171,205],"is":[3,68,94,142,214,225,237,258],"an":[4],"important":[5],"parameter":[6],"of":[7,22,48,78,100,111,125,148,158,168,201,210,221,254,263,275,293,299],"the":[8,33,38,64,75,79,109,123,146,169,182,187,202,207,222,248,261,264,272,278,291],"atmospheric":[9,13,65,320],"thermal":[10],"state":[11],"in":[12,206,308],"monitoring":[14],"and":[15,30,44,54,60,121,134,161,165,195,230,234,297,303,315,324],"weather":[16],"forecasting.":[17],"hyperspectral":[19,323],"infrared":[20,52],"sounder":[21],"a":[23,89,98,312],"geostationary":[24],"satellite":[25,326],"provides":[26,311],"abundant":[27],"spectral":[28],"information":[29],"can":[31],"retrieve":[32],"profile.":[35,251],"Based":[36],"on":[37,119,154,271],"mediumwave":[39,294],"channel":[40],"data":[41,57],"(independent":[42],"variable":[43,59],"model":[45,61,80],"input":[46],"data)":[47],"FY-4A/GIIRS":[49],"(geosynchronous":[50],"interferometric":[51],"sounder)":[53],"ERA5":[55],"reanalysis":[56],"(dependent":[58],"output":[62],"data),":[63],"retrieved":[69],"by":[70,107,192],"generalized":[71,211,255],"ensemble":[72,137,212,256],"learning.":[73],"Firstly,":[74],"feature":[76,91,105],"variables":[77,106],"are":[81,85,116,173],"constructed.":[82],"Because":[83],"there":[84],"many":[86],"GIIRS":[87,101,156,300],"channels,":[88],"two-step":[90],"selection":[92],"method":[93,110,166,307],"adopted:":[95],"step":[96,103],"1\u2014establish":[97],"blacklist":[99],"channels;":[102],"2\u2014select":[104],"using":[108],"importance":[112,292],"permutation.":[113],"Secondly,":[114],"they":[115],"integrated":[117],"based":[118,153],"optimizing":[120],"adjusting":[122],"hyperparameters":[124],"three":[126,188,265],"basic":[127,150,189,266],"machine":[128],"learning":[129,138,213,257],"models":[130],"(Random":[131],"Forest,":[132],"XGBoost":[133],"LightGBM).":[135],"Generalized":[136],"nonlinear":[139],"convex":[140],"optimization":[141],"used":[143],"to":[144,283],"optimize":[145],"weight":[147],"each":[149],"model.":[151],"Finally,":[152],"high-frequency":[155],"observations":[157],"Typhoon":[159,162],"Lekima":[160,279],"Higos,":[163],"testing":[164,223],"evaluation":[167],"retrievals":[172],"carried":[174],"out.":[175],"results":[177,244,274],"show":[178],"that":[179,220,231],"LightGBM":[180],"achieves":[181],"best":[183],"retrieval":[184,243,273,289],"result":[185],"among":[186],"models,":[190,267,290],"followed":[191],"Random":[193],"Forest":[194],"finally":[196],"XGBoost.":[197],"root-mean-square":[199],"error":[200],"whole":[203],"training":[208],"dataset":[209,224],"less":[215,226,238],"than":[216,227,239,260],"0.3":[217],"K,":[218,229],"while":[219],"1.4":[228],"between":[232],"150":[233],"925":[235],"hPa":[236],"1":[240],"K.":[241],"correlate":[245],"well":[246],"with":[247],"radiosonde":[249],"performance":[253],"better":[259],"performances":[262],"but":[268],"it":[269],"depends":[270],"LightGBM.":[276],"In":[277],"experimental":[280],"case,":[281],"compared":[282],"other":[284,325],"channels":[285,295],"selected":[286],"for":[287,318],"9":[296],"307":[298],"ranks":[301],"first":[302],"second,":[304],"respectively.":[305],"this":[309],"paper":[310],"new":[313],"solution":[314],"technical":[316],"support":[317],"retrieving":[319],"parameters":[321],"from":[322],"data.":[327]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2024-01-16T00:00:00"}