{"id":"https://openalex.org/W4390663412","doi":"https://doi.org/10.3390/rs16020228","title":"A Reconstructing Model Based on Time\u2013Space\u2013Depth Partitioning for Global Ocean Dissolved Oxygen Concentration","display_name":"A Reconstructing Model Based on Time\u2013Space\u2013Depth Partitioning for Global Ocean Dissolved Oxygen Concentration","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4390663412","doi":"https://doi.org/10.3390/rs16020228"},"language":"en","primary_location":{"id":"doi:10.3390/rs16020228","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020228","pdf_url":"https://www.mdpi.com/2072-4292/16/2/228/pdf?version=1704521797","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/2072-4292/16/2/228/pdf?version=1704521797","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072256019","display_name":"Zhenguo Wang","orcid":"https://orcid.org/0009-0009-8663-1279"},"institutions":[{"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"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenguo Wang","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019539636","display_name":"Cunjin Xue","orcid":"https://orcid.org/0000-0003-3605-6578"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","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":true,"raw_author_name":"Cunjin Xue","raw_affiliation_strings":["International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China","institution_ids":["https://openalex.org/I4210096250"]},{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009478997","display_name":"Bo Ping","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Ping","raw_affiliation_strings":["School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China"],"affiliations":[{"raw_affiliation_string":"School of Earth System Science, Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019539636"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210096250","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.1482,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.95510387,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"16","issue":"2","first_page":"228","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10032","display_name":"Marine and coastal ecosystems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10765","display_name":"Marine Biology and Ecology Research","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/argo","display_name":"Argo","score":0.9201347827911377},{"id":"https://openalex.org/keywords/anoxic-waters","display_name":"Anoxic waters","score":0.5475724935531616},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5432151556015015},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5312504768371582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.481370747089386},{"id":"https://openalex.org/keywords/ocean-observations","display_name":"Ocean observations","score":0.43593835830688477},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.2759134769439697},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23369184136390686},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2213059663772583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16300219297409058}],"concepts":[{"id":"https://openalex.org/C51614570","wikidata":"https://www.wikidata.org/wiki/Q647931","display_name":"Argo","level":2,"score":0.9201347827911377},{"id":"https://openalex.org/C108970007","wikidata":"https://www.wikidata.org/wiki/Q568324","display_name":"Anoxic waters","level":2,"score":0.5475724935531616},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5432151556015015},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5312504768371582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.481370747089386},{"id":"https://openalex.org/C2776248883","wikidata":"https://www.wikidata.org/wiki/Q17154087","display_name":"Ocean observations","level":2,"score":0.43593835830688477},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.2759134769439697},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23369184136390686},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2213059663772583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16300219297409058}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16020228","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020228","pdf_url":"https://www.mdpi.com/2072-4292/16/2/228/pdf?version=1704521797","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:f346872829674aec8dcb0a72528aca9c","is_oa":true,"landing_page_url":"https://doaj.org/article/f346872829674aec8dcb0a72528aca9c","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 2, p 228 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/2/228/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16020228","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs16020228","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020228","pdf_url":"https://www.mdpi.com/2072-4292/16/2/228/pdf?version=1704521797","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":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390663412.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1967906870","https://openalex.org/W1976403158","https://openalex.org/W1980823401","https://openalex.org/W1998566514","https://openalex.org/W2032091379","https://openalex.org/W2085331228","https://openalex.org/W2130231032","https://openalex.org/W2193503481","https://openalex.org/W2254857365","https://openalex.org/W2272850945","https://openalex.org/W2320294270","https://openalex.org/W2517809012","https://openalex.org/W2588770771","https://openalex.org/W2618851150","https://openalex.org/W2759189196","https://openalex.org/W2781567654","https://openalex.org/W2798476254","https://openalex.org/W2884733055","https://openalex.org/W2922909714","https://openalex.org/W2936531996","https://openalex.org/W2966180434","https://openalex.org/W2969876740","https://openalex.org/W3004942926","https://openalex.org/W3008439211","https://openalex.org/W3018952706","https://openalex.org/W3035991085","https://openalex.org/W3040588293","https://openalex.org/W3042832640","https://openalex.org/W3049022657","https://openalex.org/W3081268376","https://openalex.org/W3092257762","https://openalex.org/W3168709367","https://openalex.org/W3169740471","https://openalex.org/W3197914500","https://openalex.org/W3211798681","https://openalex.org/W4225265993","https://openalex.org/W4312117458","https://openalex.org/W4312140725","https://openalex.org/W4380996802","https://openalex.org/W4382248675","https://openalex.org/W4386895358","https://openalex.org/W4387402517"],"related_works":["https://openalex.org/W2974822319","https://openalex.org/W2160003452","https://openalex.org/W2962089301","https://openalex.org/W3167678644","https://openalex.org/W2771280915","https://openalex.org/W2979613181","https://openalex.org/W2391600669","https://openalex.org/W3080095288","https://openalex.org/W2938978276","https://openalex.org/W3155819003"],"abstract_inverted_index":{"Dissolved":[0],"oxygen":[1],"(DO)":[2],"is":[3,19],"essential":[4],"for":[5,90],"assessing":[6],"and":[7,41,83,86,100,136,151],"monitoring":[8],"the":[9,23,46,96,157,161,165,172],"health":[10],"of":[11,16,26,36,48,98,160,164,180],"marine":[12],"ecosystems.":[13],"The":[14,43,110],"phenomenon":[15],"ocean":[17,38,168],"deoxygenation":[18],"widely":[20],"recognized.":[21],"Nevertheless,":[22],"limited":[24],"availability":[25],"observations":[27],"poses":[28],"a":[29,33,60,127,137,147],"challenge":[30,47],"in":[31,70,119,130,140],"achieving":[32,126],"comprehensive":[34],"understanding":[35],"global":[37,167],"DO":[39,52,123,169],"dynamics":[40],"trends.":[42],"study":[44],"addresses":[45],"unevenly":[49],"distributed":[50],"Argo":[51,75],"data":[53,76,124,155],"by":[54],"developing":[55],"time\u2013space\u2013depth":[56],"machine":[57,62],"learning":[58],"(TSD-ML),":[59],"novel":[61],"learning-based":[63],"model":[64,88],"designed":[65],"to":[66],"enhance":[67],"reconstruction":[68,117],"accuracy":[69,118,159],"data-sparse":[71],"regions.":[72],"TSD-ML":[73,114],"partitions":[74],"into":[77],"segments":[78],"based":[79],"on":[80],"time,":[81],"depth,":[82],"spatial":[84],"dimensions,":[85],"conducts":[87],"training":[89],"each":[91],"segment.":[92],"This":[93],"research":[94],"contrasts":[95],"effectiveness":[97],"partitioned":[99],"non-partitioned":[101],"modeling":[102],"approaches":[103],"using":[104],"three":[105],"distinct":[106],"ML":[107],"regression":[108],"methods.":[109],"results":[111],"reveal":[112],"that":[113],"significantly":[115],"enhances":[116],"areas":[120],"with":[121,149],"uneven":[122],"distribution,":[125],"30%":[128],"reduction":[129],"root":[131],"mean":[132,141],"square":[133],"error":[134,143],"(RMSE)":[135],"20%":[138],"decrease":[139],"absolute":[142],"(MAE).":[144],"In":[145],"addition,":[146],"comparison":[148],"WOA18":[150],"GLODAPv2":[152],"ship":[153],"survey":[154],"confirms":[156],"high":[158],"reconstructions.":[162],"Analysis":[163],"reconstructed":[166],"trends":[170],"over":[171],"past":[173],"two":[174],"decades":[175],"indicates":[176],"an":[177],"alarming":[178],"expansion":[179],"anoxic":[181],"zones.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
