{"id":"https://openalex.org/W2775070522","doi":"https://doi.org/10.3390/rs9121305","title":"Prediction of Arctic Sea Ice Concentration Using a Fully Data Driven Deep Neural Network","display_name":"Prediction of Arctic Sea Ice Concentration Using a Fully Data Driven Deep Neural Network","publication_year":2017,"publication_date":"2017-12-12","ids":{"openalex":"https://openalex.org/W2775070522","doi":"https://doi.org/10.3390/rs9121305","mag":"2775070522"},"language":"en","primary_location":{"id":"doi:10.3390/rs9121305","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9121305","pdf_url":"https://www.mdpi.com/2072-4292/9/12/1305/pdf?version=1513315841","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/2072-4292/9/12/1305/pdf?version=1513315841","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003070966","display_name":"Junhwa Chi","orcid":"https://orcid.org/0000-0003-4943-3790"},"institutions":[{"id":"https://openalex.org/I4210093716","display_name":"Korea Polar Research Institute","ror":"https://ror.org/00n14a494","country_code":"KR","type":"facility","lineage":["https://openalex.org/I133437993","https://openalex.org/I4210093716"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Junhwa Chi","raw_affiliation_strings":["Unit of Arctic Sea-Ice Prediction, Korea Polar Research Institute, Incheon 21990, Korea"],"affiliations":[{"raw_affiliation_string":"Unit of Arctic Sea-Ice Prediction, Korea Polar Research Institute, Incheon 21990, Korea","institution_ids":["https://openalex.org/I4210093716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100650578","display_name":"Hyun\u2010Cheol Kim","orcid":"https://orcid.org/0000-0002-6831-9291"},"institutions":[{"id":"https://openalex.org/I4210093716","display_name":"Korea Polar Research Institute","ror":"https://ror.org/00n14a494","country_code":"KR","type":"facility","lineage":["https://openalex.org/I133437993","https://openalex.org/I4210093716"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-choel Kim","raw_affiliation_strings":["Unit of Arctic Sea-Ice Prediction, Korea Polar Research Institute, Incheon 21990, Korea"],"affiliations":[{"raw_affiliation_string":"Unit of Arctic Sea-Ice Prediction, Korea Polar Research Institute, Incheon 21990, Korea","institution_ids":["https://openalex.org/I4210093716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003070966"],"corresponding_institution_ids":["https://openalex.org/I4210093716"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.2482,"has_fulltext":false,"cited_by_count":174,"citation_normalized_percentile":{"value":0.91919101,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"9","issue":"12","first_page":"1305","last_page":"1305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11459","display_name":"Arctic and Antarctic ice dynamics","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/T11459","display_name":"Arctic and Antarctic ice dynamics","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/T11333","display_name":"Climate change and permafrost","score":0.9951000213623047,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9858999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sea-ice","display_name":"Sea ice","score":0.7391319870948792},{"id":"https://openalex.org/keywords/arctic","display_name":"Arctic","score":0.6671436429023743},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6429364085197449},{"id":"https://openalex.org/keywords/arctic-ice-pack","display_name":"Arctic ice pack","score":0.5906733870506287},{"id":"https://openalex.org/keywords/the-arctic","display_name":"The arctic","score":0.4614696502685547},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.4347113370895386},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43330034613609314},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.41435953974723816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4065421223640442},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3815469443798065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32379990816116333},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2698632478713989}],"concepts":[{"id":"https://openalex.org/C136894858","wikidata":"https://www.wikidata.org/wiki/Q213926","display_name":"Sea ice","level":2,"score":0.7391319870948792},{"id":"https://openalex.org/C518008717","wikidata":"https://www.wikidata.org/wiki/Q25322","display_name":"Arctic","level":2,"score":0.6671436429023743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6429364085197449},{"id":"https://openalex.org/C161798024","wikidata":"https://www.wikidata.org/wiki/Q3651008","display_name":"Arctic ice pack","level":3,"score":0.5906733870506287},{"id":"https://openalex.org/C3018378255","wikidata":"https://www.wikidata.org/wiki/Q25322","display_name":"The arctic","level":2,"score":0.4614696502685547},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.4347113370895386},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43330034613609314},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.41435953974723816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4065421223640442},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3815469443798065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32379990816116333},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2698632478713989}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs9121305","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9121305","pdf_url":"https://www.mdpi.com/2072-4292/9/12/1305/pdf?version=1513315841","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:80c8891a9fe3447c92f5b93f64862480","is_oa":true,"landing_page_url":"https://doaj.org/article/80c8891a9fe3447c92f5b93f64862480","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 9, Iss 12, p 1305 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs9121305","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs9121305","pdf_url":"https://www.mdpi.com/2072-4292/9/12/1305/pdf?version=1513315841","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":[{"id":"https://metadata.un.org/sdg/14","score":0.5199999809265137,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G2204000394","display_name":null,"funder_award_id":"PE17120","funder_id":"https://openalex.org/F4320322474","funder_display_name":"Korea Polar Research Institute"}],"funders":[{"id":"https://openalex.org/F4320322474","display_name":"Korea Polar Research Institute","ror":"https://ror.org/00n14a494"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2775070522.pdf","grobid_xml":"https://content.openalex.org/works/W2775070522.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1547333707","https://openalex.org/W1859706942","https://openalex.org/W1953019024","https://openalex.org/W1970590897","https://openalex.org/W1970834152","https://openalex.org/W1974825269","https://openalex.org/W1977177161","https://openalex.org/W1986218635","https://openalex.org/W2012150824","https://openalex.org/W2018989980","https://openalex.org/W2028238058","https://openalex.org/W2063907334","https://openalex.org/W2066395003","https://openalex.org/W2072189936","https://openalex.org/W2075728430","https://openalex.org/W2076063813","https://openalex.org/W2097998348","https://openalex.org/W2100457067","https://openalex.org/W2101234009","https://openalex.org/W2102017903","https://openalex.org/W2103164730","https://openalex.org/W2104674351","https://openalex.org/W2117014758","https://openalex.org/W2146220215","https://openalex.org/W2155523560","https://openalex.org/W2169472189","https://openalex.org/W2293634267","https://openalex.org/W2412588858","https://openalex.org/W2919115771","https://openalex.org/W6631190155","https://openalex.org/W6647140481","https://openalex.org/W6674385629","https://openalex.org/W6675354045","https://openalex.org/W6892229859"],"related_works":["https://openalex.org/W2872940795","https://openalex.org/W2902407688","https://openalex.org/W79015229","https://openalex.org/W4249616540","https://openalex.org/W131443289","https://openalex.org/W2023186840","https://openalex.org/W133610609","https://openalex.org/W2564920106","https://openalex.org/W3004838324","https://openalex.org/W336147707"],"abstract_inverted_index":{"The":[0],"Arctic":[1,19,70,95,114],"sea":[2,20,71,96,115],"ice":[3,21,72,97,116],"is":[4,52],"an":[5,83],"important":[6],"indicator":[7],"of":[8,11,18,37,127,146,159],"the":[9,125,149,166],"progress":[10],"global":[12],"warming":[13],"and":[14,29,107,131,142,169],"climate":[15],"change.":[16],"Prediction":[17,152],"concentration":[22],"has":[23],"been":[24,32],"investigated":[25],"by":[26,77],"many":[27],"disciplines":[28],"predictions":[30],"have":[31],"made":[33],"using":[34,42,136,155],"a":[35,53,93,103,137,144,156],"variety":[36],"methods.":[38,69],"Deep":[39],"learning":[40,58],"(DL)":[41],"large":[43,94],"training":[44,87],"datasets,":[45],"also":[46],"known":[47],"as":[48],"deep":[49,104],"neural":[50,67,105],"network,":[51],"fast-growing":[54],"area":[55],"in":[56],"machine":[57],"that":[59],"promises":[60],"improved":[61],"results":[62,126,134,147,171],"when":[63],"compared":[64,124],"to":[65,101,112,133,143,173],"traditional":[66,138],"network":[68,106],"data,":[73],"gathered":[74],"since":[75],"1978":[76],"passive":[78],"microwave":[79],"sensors,":[80],"may":[81],"be":[82],"appropriate":[84],"input":[85],"for":[86],"DL":[88],"models.":[89,178],"In":[90],"this":[91,108],"study,":[92],"dataset":[98],"was":[99,109],"employed":[100],"train":[102],"then":[110],"used":[111],"predict":[113],"concentration,":[117],"without":[118],"incorporating":[119],"any":[120],"physical":[121],"data.":[122],"We":[123],"our":[128],"methods":[129,164],"quantitatively":[130],"qualitatively":[132],"obtained":[135,175],"autoregressive":[139],"(AR)":[140],"model,":[141],"compilation":[145],"from":[148],"Sea":[150],"Ice":[151],"Network,":[153],"collected":[154],"diverse":[157],"set":[158],"approaches.":[160],"Our":[161],"DL-based":[162],"prediction":[163],"outperformed":[165],"AR":[167],"model":[168],"yielded":[170],"comparable":[172],"those":[174],"with":[176],"other":[177]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}