{"id":"https://openalex.org/W4385062322","doi":"https://doi.org/10.1109/access.2023.3297200","title":"Optimizing Numerical Weather Prediction Model Performance Using Machine Learning Techniques","display_name":"Optimizing Numerical Weather Prediction Model Performance Using Machine Learning Techniques","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385062322","doi":"https://doi.org/10.1109/access.2023.3297200"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3297200","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3297200","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10188815.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10188815.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102923312","display_name":"S. Choi","orcid":"https://orcid.org/0009-0000-1086-058X"},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soohyuck Choi","raw_affiliation_strings":["Department of Software and Communications Engineering, Hongik University, Sejong, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0000-1086-058X","affiliations":[{"raw_affiliation_string":"Department of Software and Communications Engineering, Hongik University, Sejong, Republic of Korea","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034303126","display_name":"Eun-Sung Jung","orcid":"https://orcid.org/0000-0002-1288-7521"},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eun-Sung Jung","raw_affiliation_strings":["Department of Software and Communications Engineering, Hongik University, Sejong, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-1288-7521","affiliations":[{"raw_affiliation_string":"Department of Software and Communications Engineering, Hongik University, Sejong, Republic of Korea","institution_ids":["https://openalex.org/I94588446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0862,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87736502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"86038","last_page":"86055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9616000056266785,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9616000056266785,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9269000291824341,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9035000205039978,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7672202587127686},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.6287992596626282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5889958143234253},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5792562961578369},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.5536733269691467},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.538305401802063},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.5328322649002075},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5079789757728577},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4849260151386261},{"id":"https://openalex.org/keywords/weather-prediction","display_name":"Weather prediction","score":0.4672170877456665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45573481917381287},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.44591736793518066},{"id":"https://openalex.org/keywords/weather-research-and-forecasting-model","display_name":"Weather Research and Forecasting Model","score":0.44587281346321106},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.28790271282196045},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.10856670141220093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672202587127686},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.6287992596626282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5889958143234253},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5792562961578369},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.5536733269691467},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.538305401802063},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.5328322649002075},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5079789757728577},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4849260151386261},{"id":"https://openalex.org/C2987469573","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather prediction","level":2,"score":0.4672170877456665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45573481917381287},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44591736793518066},{"id":"https://openalex.org/C133204551","wikidata":"https://www.wikidata.org/wiki/Q838305","display_name":"Weather Research and Forecasting Model","level":2,"score":0.44587281346321106},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.28790271282196045},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.10856670141220093},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3297200","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3297200","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10188815.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:052674c77d724c02b94249929ef33c7d","is_oa":true,"landing_page_url":"https://doaj.org/article/052674c77d724c02b94249929ef33c7d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 86038-86055 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3297200","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3297200","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10188815.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2223414082","display_name":null,"funder_award_id":"KMI-2021-01310","funder_id":"https://openalex.org/F4320322036","funder_display_name":"Korea Meteorological Administration"}],"funders":[{"id":"https://openalex.org/F4320322036","display_name":"Korea Meteorological Administration","ror":"https://ror.org/04nrmrg07"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385062322.pdf","grobid_xml":"https://content.openalex.org/works/W4385062322.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W81608227","https://openalex.org/W229826274","https://openalex.org/W1535807333","https://openalex.org/W1678131841","https://openalex.org/W2010628428","https://openalex.org/W2042992924","https://openalex.org/W2112360329","https://openalex.org/W2412848782","https://openalex.org/W2787894218","https://openalex.org/W2922457781","https://openalex.org/W3086863463","https://openalex.org/W3205295795","https://openalex.org/W4205999811","https://openalex.org/W6609021380","https://openalex.org/W6637387214"],"related_works":["https://openalex.org/W2394338798","https://openalex.org/W3021464272","https://openalex.org/W2569758175","https://openalex.org/W2993903510","https://openalex.org/W2962697189","https://openalex.org/W2740113206","https://openalex.org/W4315472244","https://openalex.org/W4294833354","https://openalex.org/W3005987743","https://openalex.org/W4385062322"],"abstract_inverted_index":{"Weather":[0],"forecasting":[1],"primarily":[2],"uses":[3,102],"numerical":[4,30],"weather":[5,10,31,38,46],"prediction":[6,32],"models":[7,43,119],"that":[8],"use":[9],"observation":[11],"data,":[12],"including":[13],"temperature":[14],"and":[15,92,148,176,202],"humidity,":[16],"to":[17,59,144,171,195,231,260,272],"predict":[18],"future":[19],"weather.":[20],"The":[21,157,211],"Korea":[22],"Meteorological":[23],"Administration":[24],"(KMA)":[25],"has":[26,78],"adopted":[27],"the":[28,35,60,70,76,108,146,152,192,197,216,232,238,245,261,270,274],"GloSea6":[29,100,154,178,204],"model":[33,82,124,188,213,240],"from":[34],"UK":[36],"for":[37,44,51,54,118,207],"forecasting.":[39],"Besides":[40],"utilizing":[41],"these":[42],"real-time":[45],"forecasts,":[47],"supercomputers":[48],"are":[49],"essential":[50],"running":[52,69],"them":[53],"research":[55,96,155,209,222],"purposes.":[56],"However,":[57],"owing":[58],"limited":[61],"supercomputer":[62],"resources,":[63,105],"many":[64],"researchers":[65],"have":[66],"faced":[67],"difficulties":[68],"models.":[71],"To":[72],"address":[73],"this":[74,137,266],"issue,":[75],"KMA":[77],"developed":[79],"a":[80,140,185,225,249],"low-resolution":[81],"called":[83],"Low":[84,99,153,177,203],"GloSea6,":[85],"which":[86],"can":[87,114],"be":[88],"run":[89],"on":[90,244],"small":[91],"medium-sized":[93],"servers":[94],"in":[95,107,220],"institutions,":[97],"but":[98,129],"still":[101],"numerous":[103],"computer":[104],"especially":[106],"I/O":[109,112,125],"load.":[110],"As":[111],"load":[113],"cause":[115],"performance":[116,164,275],"degradation":[117],"with":[120,252],"high":[121,226],"data":[122,165,194],"I/O,":[123],"optimization":[126,131,267],"is":[127,134],"essential,":[128],"trial-and-error":[130],"by":[132],"users":[133],"inefficient.":[135],"Therefore,":[136],"study":[138],"presents":[139],"machine":[141,186],"learning-based":[142],"approach":[143],"optimize":[145],"hardware":[147,173,199],"software":[149],"parameters":[150,175,180,201,206],"of":[151,228,256,276],"environment.":[156],"proposed":[158],"method":[159,268],"comprised":[160],"two":[161],"steps.":[162],"First,":[163],"were":[166],"collected":[167,193],"using":[168,191],"profiling":[169],"tools":[170],"obtain":[172],"platform":[174,200],"internal":[179,205],"under":[181],"various":[182],"settings.":[183],"Second,":[184],"learning":[187],"was":[189],"trained":[190],"determine":[196],"optimal":[198,217],"new":[208],"environments.":[210],"machine-learning":[212],"successfully":[214],"predicted":[215,239],"parameter":[218,234,246],"combinations":[219],"different":[221],"environments,":[223],"exhibiting":[224],"degree":[227],"accuracy":[229],"compared":[230,259],"actual":[233,262],"combinations.":[235],"In":[236],"particular,":[237],"execution":[241,263],"time":[242],"based":[243],"combination":[247],"showed":[248],"significant":[250],"outcome":[251],"an":[253],"error":[254],"rate":[255],"only":[257],"16%":[258],"time.":[264],"Overall,":[265],"holds":[269],"potential":[271],"improve":[273],"other":[277],"high-performance":[278],"computing":[279],"scientific":[280],"applications.":[281]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
