{"id":"https://openalex.org/W4312947274","doi":"https://doi.org/10.1109/igarss46834.2022.9883505","title":"Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting","display_name":"Benchmarking Probabilistic Machine Learning Models for Arctic Sea Ice Forecasting","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312947274","doi":"https://doi.org/10.1109/igarss46834.2022.9883505"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883505","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.13016/m2myuf-war4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042875954","display_name":"Sahara Ali","orcid":"https://orcid.org/0000-0002-8578-948X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahara Ali","raw_affiliation_strings":["University of Maryland,MD,USA,21250"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland,MD,USA,21250","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003656762","display_name":"Seraj A.M. Mostafa","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seraj A.M. Mostafa","raw_affiliation_strings":["University of Maryland,MD,USA,21250"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland,MD,USA,21250","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103124681","display_name":"Xingyan Li","orcid":"https://orcid.org/0000-0002-7831-7169"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingyan Li","raw_affiliation_strings":["University of Maryland,MD,USA,21250"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland,MD,USA,21250","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025799898","display_name":"Sara Khanjani","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sara Khanjani","raw_affiliation_strings":["University of Maryland,MD,USA,21250"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland,MD,USA,21250","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101750217","display_name":"Jianwu Wang","orcid":"https://orcid.org/0000-0002-9933-1170"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianwu Wang","raw_affiliation_strings":["University of Maryland,MD,USA,21250"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland,MD,USA,21250","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010326834","display_name":"James R. Foulds","orcid":"https://orcid.org/0000-0003-0935-4182"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Foulds","raw_affiliation_strings":["University of Maryland,MD,USA,21250"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland,MD,USA,21250","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063541070","display_name":"Vandana P. Janeja","orcid":"https://orcid.org/0000-0003-0130-6135"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vandana Janeja","raw_affiliation_strings":["University of Maryland,MD,USA,21250"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland,MD,USA,21250","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":10.3735,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98562702,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4654","last_page":"4657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9973999857902527,"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":0.9973999857902527,"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/T12432","display_name":"Arctic and Russian Policy Studies","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11333","display_name":"Climate change and permafrost","score":0.9754999876022339,"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":0.7147018909454346},{"id":"https://openalex.org/keywords/arctic","display_name":"Arctic","score":0.693030595779419},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6903024315834045},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6019420623779297},{"id":"https://openalex.org/keywords/arctic-ice-pack","display_name":"Arctic ice pack","score":0.5784960985183716},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.5620574951171875},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.49613532423973083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4572550654411316},{"id":"https://openalex.org/keywords/the-arctic","display_name":"The arctic","score":0.4387563169002533},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.42720067501068115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4133000075817108},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.40187737345695496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3619902729988098},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3551163673400879},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.3259139060974121},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.29714837670326233},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.24403879046440125},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1601291298866272}],"concepts":[{"id":"https://openalex.org/C136894858","wikidata":"https://www.wikidata.org/wiki/Q213926","display_name":"Sea ice","level":2,"score":0.7147018909454346},{"id":"https://openalex.org/C518008717","wikidata":"https://www.wikidata.org/wiki/Q25322","display_name":"Arctic","level":2,"score":0.693030595779419},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6903024315834045},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6019420623779297},{"id":"https://openalex.org/C161798024","wikidata":"https://www.wikidata.org/wiki/Q3651008","display_name":"Arctic ice pack","level":3,"score":0.5784960985183716},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.5620574951171875},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.49613532423973083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4572550654411316},{"id":"https://openalex.org/C3018378255","wikidata":"https://www.wikidata.org/wiki/Q25322","display_name":"The arctic","level":2,"score":0.4387563169002533},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.42720067501068115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4133000075817108},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.40187737345695496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3619902729988098},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3551163673400879},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.3259139060974121},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.29714837670326233},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.24403879046440125},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1601291298866272},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883505","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883505","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:mdsoar.org:11603/25878","is_oa":false,"landing_page_url":"http://hdl.handle.net/11603/25878","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.13016/m2myuf-war4","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2myuf-war4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Collection"}],"best_oa_location":{"id":"doi:10.13016/m2myuf-war4","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2myuf-war4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Collection"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1571870753","https://openalex.org/W2007321142","https://openalex.org/W2064675550","https://openalex.org/W2149723649","https://openalex.org/W2899808917","https://openalex.org/W2953072840","https://openalex.org/W3100117756","https://openalex.org/W3127723844","https://openalex.org/W3191525634","https://openalex.org/W3195830470","https://openalex.org/W4232308119","https://openalex.org/W6764817826","https://openalex.org/W6799615918"],"related_works":["https://openalex.org/W4308484205","https://openalex.org/W1992189389","https://openalex.org/W3134792003","https://openalex.org/W4284709450","https://openalex.org/W4225252225","https://openalex.org/W1993451697","https://openalex.org/W2801369656","https://openalex.org/W2530203976","https://openalex.org/W3082624087","https://openalex.org/W3144483268"],"abstract_inverted_index":{"The":[0],"Arctic":[1,17,35],"is":[2,42,98],"a":[3,22,31,99],"region":[4],"with":[5,85,110],"unique":[6],"climate":[7,48,58],"features,":[8],"motivating":[9],"new":[10],"AI":[11,55],"methodologies":[12],"to":[13,34,79,102],"study":[14,51],"it.":[15],"Unfortunately,":[16],"sea":[18],"ice":[19],"has":[20],"seen":[21],"continuous":[23],"decline":[24],"since":[25],"1979.":[26],"This":[27],"not":[28],"only":[29],"poses":[30],"significant":[32],"threat":[33],"wildlife":[36],"and":[37],"surrounding":[38],"coastal":[39],"communities":[40],"but":[41],"also":[43],"adversely":[44],"affecting":[45],"the":[46,52,62],"global":[47],"patterns.":[49],"To":[50],"potential":[53],"of":[54,64,77],"in":[56,70],"tackling":[57],"change,":[59],"we":[60],"analyze":[61],"performance":[63],"four":[65],"probabilistic":[66],"machine":[67,87],"learning":[68,88],"methods":[69],"forecasting":[71],"sea-ice":[72,104],"extent":[73,105],"for":[74,106],"lead":[75,108],"times":[76,109],"up":[78],"6":[80],"months,":[81],"further":[82],"comparing":[83],"them":[84],"traditional":[86],"methods.":[89],"Our":[90],"comparative":[91],"analysis":[92],"shows":[93],"that":[94],"Gaussian":[95],"Process":[96],"Regression":[97],"good":[100],"fit":[101],"predict":[103],"longer":[107],"lowest":[111],"RMSE":[112],"score.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}