{"id":"https://openalex.org/W4400353021","doi":"https://doi.org/10.3390/rs16132468","title":"Application of Fast MEEMD\u2013ConvLSTM in Sea Surface Temperature Predictions","display_name":"Application of Fast MEEMD\u2013ConvLSTM in Sea Surface Temperature Predictions","publication_year":2024,"publication_date":"2024-07-05","ids":{"openalex":"https://openalex.org/W4400353021","doi":"https://doi.org/10.3390/rs16132468"},"language":"en","primary_location":{"id":"doi:10.3390/rs16132468","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132468","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2468/pdf?version=1720671260","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/2072-4292/16/13/2468/pdf?version=1720671260","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100022742","display_name":"R. W. W. M. U. P. Wanigasekara","orcid":"https://orcid.org/0009-0004-0511-4469"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]},{"id":"https://openalex.org/I4210103685","display_name":"South China Sea Institute Of Oceanology","ror":"https://ror.org/0192yj155","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103685"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"R. W. W. M. U. P. Wanigasekara","raw_affiliation_strings":["State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China","institution_ids":["https://openalex.org/I4210103685","https://openalex.org/I4210101167","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":null,"display_name":"Zhenqiu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]},{"id":"https://openalex.org/I4210103685","display_name":"South China Sea Institute Of Oceanology","ror":"https://ror.org/0192yj155","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103685"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenqiu Zhang","raw_affiliation_strings":["State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China","institution_ids":["https://openalex.org/I4210103685","https://openalex.org/I4210101167","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721603","display_name":"Weiqiang Wang","orcid":"https://orcid.org/0000-0003-2146-4210"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]},{"id":"https://openalex.org/I4210103685","display_name":"South China Sea Institute Of Oceanology","ror":"https://ror.org/0192yj155","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103685"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqiang Wang","raw_affiliation_strings":["State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China","institution_ids":["https://openalex.org/I4210103685","https://openalex.org/I4210101167","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101478008","display_name":"Yao Luo","orcid":"https://orcid.org/0000-0002-0690-8621"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]},{"id":"https://openalex.org/I4210103685","display_name":"South China Sea Institute Of Oceanology","ror":"https://ror.org/0192yj155","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103685"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Luo","raw_affiliation_strings":["State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China","institution_ids":["https://openalex.org/I4210103685","https://openalex.org/I4210101167","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037894322","display_name":"Gang Pan","orcid":"https://orcid.org/0000-0003-0054-6516"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101167","display_name":"Institute of Oceanology","ror":"https://ror.org/018yw5541","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101167"]},{"id":"https://openalex.org/I4210103685","display_name":"South China Sea Institute Of Oceanology","ror":"https://ror.org/0192yj155","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103685"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gang Pan","raw_affiliation_strings":["State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China","institution_ids":["https://openalex.org/I4210103685","https://openalex.org/I4210101167","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037894322"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210101167","https://openalex.org/I4210103685"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.1909,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94313161,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"16","issue":"13","first_page":"2468","last_page":"2468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9993000030517578,"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9993000030517578,"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/T10029","display_name":"Climate variability and models","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sea-surface-temperature","display_name":"Sea surface temperature","score":0.7032465934753418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6703836917877197},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.49630385637283325},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4677702784538269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41534990072250366},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.19755661487579346},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0973062515258789}],"concepts":[{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.7032465934753418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6703836917877197},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.49630385637283325},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4677702784538269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41534990072250366},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.19755661487579346},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0973062515258789}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16132468","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132468","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2468/pdf?version=1720671260","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:fd43ef479ac34bab8cea48476699b133","is_oa":true,"landing_page_url":"https://doaj.org/article/fd43ef479ac34bab8cea48476699b133","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 13, p 2468 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16132468","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132468","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2468/pdf?version=1720671260","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":[{"id":"https://openalex.org/G2844946019","display_name":null,"funder_award_id":"SCSIO2023QY01","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3640575010","display_name":null,"funder_award_id":"SCSIO202201","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5807640041","display_name":null,"funder_award_id":"2022B1212050003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7060007067","display_name":null,"funder_award_id":"SCSIO2023HC07","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8001133143","display_name":null,"funder_award_id":"2022YFE0203500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400353021.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W418871222","https://openalex.org/W1485009520","https://openalex.org/W2007221293","https://openalex.org/W2011267296","https://openalex.org/W2013051270","https://openalex.org/W2019168009","https://openalex.org/W2064675550","https://openalex.org/W2080534936","https://openalex.org/W2101234009","https://openalex.org/W2105238601","https://openalex.org/W2120390927","https://openalex.org/W2122470043","https://openalex.org/W2144557002","https://openalex.org/W2168650778","https://openalex.org/W2293854311","https://openalex.org/W2462302850","https://openalex.org/W2584200484","https://openalex.org/W2619995677","https://openalex.org/W2778580105","https://openalex.org/W2891103621","https://openalex.org/W2932827911","https://openalex.org/W2967059064","https://openalex.org/W2968862935","https://openalex.org/W3080214531","https://openalex.org/W3091822273","https://openalex.org/W3107200375","https://openalex.org/W3138340468","https://openalex.org/W4220961578","https://openalex.org/W4226017353","https://openalex.org/W4283816156","https://openalex.org/W4285006073","https://openalex.org/W4294015325","https://openalex.org/W4297474326","https://openalex.org/W4311147076","https://openalex.org/W4327973723","https://openalex.org/W4386925812","https://openalex.org/W4392404623","https://openalex.org/W4393317397","https://openalex.org/W6614422993","https://openalex.org/W6628877408","https://openalex.org/W6675354045","https://openalex.org/W6681385139"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Sea":[0],"Surface":[1],"Temperature":[2],"(SST)":[3],"is":[4,72,116,150],"of":[5,40,99,113,152],"great":[6],"importance":[7],"to":[8,14,55,59,117,122,137,158,179,185],"study":[9,115],"several":[10,78],"major":[11],"phenomena":[12],"due":[13],"ocean":[15],"interactions":[16],"with":[17],"other":[18],"earth":[19],"systems.":[20],"Previous":[21],"studies":[22,41,90],"on":[23,26],"SST":[24,49,64,75,125,155,187,198],"based":[25],"statistical":[27],"inference":[28],"methods":[29,121],"were":[30,53],"less":[31],"accurate":[32],"for":[33,48,74,95],"longer":[34],"prediction":[35],"lengths.":[36],"A":[37],"considerable":[38],"number":[39],"in":[42,77,88,101],"recent":[43],"years":[44],"involve":[45],"machine":[46],"learning":[47],"modeling.":[50],"These":[51],"models":[52],"able":[54],"mitigate":[56],"this":[57,114],"problem":[58],"some":[60],"length":[61],"by":[62,70,174],"modeling":[63,103,156],"patterns":[65],"and":[66,128,139,164,182,196],"trends.":[67],"Sequence":[68],"analysis":[69],"decomposition":[71],"used":[73],"forecasting":[76],"studies.":[79],"Ensemble":[80],"Empirical":[81],"Mode":[82],"Decomposition":[83],"(EEMD)":[84],"has":[85,104],"been":[86,105],"proven":[87],"previous":[89],"as":[91,107],"a":[92,130,191],"useful":[93],"method":[94,149],"this.":[96],"The":[97,111,142,169],"application":[98],"EEMD":[100,109],"spatiotemporal":[102,126,154],"introduced":[106],"Multidimensional":[108],"(MEEMD).":[110],"aim":[112],"employ":[118],"fast":[119,147],"MEEMD":[120,148],"decompose":[123],"the":[124,146,159],"dataset":[127],"apply":[129],"Convolutional":[131],"Long":[132],"Short-Term":[133],"Memory":[134],"(ConvLSTM)-based":[135],"model":[136,138,166,170],"forecast":[140],"SST.":[141],"results":[143],"show":[144],"that":[145],"capable":[151],"enhancing":[153],"compared":[157],"Linear":[160],"Inverse":[161],"Model":[162],"(LIM)":[163],"ConvLSTM":[165],"without":[167],"decomposition.":[168],"was":[171,190],"further":[172],"validated":[173],"making":[175],"predictions":[176],"from":[177],"April":[178],"May":[180],"2023":[181],"comparing":[183],"them":[184],"original":[186],"values.":[188,199],"There":[189],"high":[192],"consistency":[193],"between":[194],"predicted":[195],"real":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
