{"id":"https://openalex.org/W4402389487","doi":"https://doi.org/10.1109/tgrs.2024.3457039","title":"A Physics-Guided Attention-Based Neural Network for Sea Surface Temperature Prediction","display_name":"A Physics-Guided Attention-Based Neural Network for Sea Surface Temperature Prediction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402389487","doi":"https://doi.org/10.1109/tgrs.2024.3457039"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3457039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3457039","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048137853","display_name":"Benyun Shi","orcid":"https://orcid.org/0000-0003-2734-3794"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Benyun Shi","raw_affiliation_strings":["College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107519948","display_name":"Liu Feng","orcid":"https://orcid.org/0009-0002-6368-6137"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Feng","raw_affiliation_strings":["College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082845920","display_name":"Hailun He","orcid":"https://orcid.org/0000-0003-0690-6252"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210109544","display_name":"Second Institute of Oceanography","ror":"https://ror.org/01tkb7c15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109544"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailun He","raw_affiliation_strings":["State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China","institution_ids":["https://openalex.org/I4210109544","https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100577215","display_name":"Yingjian Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjian Hao","raw_affiliation_strings":["College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114928640","display_name":"Yue Peng","orcid":"https://orcid.org/0009-0009-7857-2221"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Peng","raw_affiliation_strings":["College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033043332","display_name":"Miao Liu","orcid":"https://orcid.org/0000-0002-3485-2899"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Liu","raw_affiliation_strings":["College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355768","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-0166-3944"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062375227","display_name":"Jiming Liu","orcid":"https://orcid.org/0000-0002-8669-9064"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiming Liu","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5048137853"],"corresponding_institution_ids":["https://openalex.org/I134687103"],"apc_list":null,"apc_paid":null,"fwci":8.6706,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.98452666,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10255","display_name":"Oceanographic and Atmospheric Processes","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/T10255","display_name":"Oceanographic and Atmospheric Processes","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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9902999997138977,"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"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9900000095367432,"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-surface-temperature","display_name":"Sea surface temperature","score":0.7070344686508179},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6583715677261353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4442741870880127},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38199982047080994},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3201826810836792},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.29690325260162354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28682172298431396},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2028605043888092}],"concepts":[{"id":"https://openalex.org/C134097258","wikidata":"https://www.wikidata.org/wiki/Q1507383","display_name":"Sea surface temperature","level":2,"score":0.7070344686508179},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6583715677261353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4442741870880127},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38199982047080994},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3201826810836792},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.29690325260162354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28682172298431396},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2028605043888092}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3457039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3457039","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G5307582853","display_name":null,"funder_award_id":"SJCX23_0435","funder_id":"https://openalex.org/F4320334982","funder_display_name":"Basic Research Program of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320334982","display_name":"Basic Research Program of Jiangsu Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1978648105","https://openalex.org/W1994870786","https://openalex.org/W2037371126","https://openalex.org/W2062350618","https://openalex.org/W2072190968","https://openalex.org/W2098320370","https://openalex.org/W2133665775","https://openalex.org/W2162548336","https://openalex.org/W2194775991","https://openalex.org/W2462302850","https://openalex.org/W2619995677","https://openalex.org/W2730799125","https://openalex.org/W2756068859","https://openalex.org/W2792413338","https://openalex.org/W2799578368","https://openalex.org/W2914223643","https://openalex.org/W2915637003","https://openalex.org/W2967059064","https://openalex.org/W2968862935","https://openalex.org/W2981217223","https://openalex.org/W2995511918","https://openalex.org/W2996936831","https://openalex.org/W3011560410","https://openalex.org/W3015153359","https://openalex.org/W3020952709","https://openalex.org/W3072469235","https://openalex.org/W3119482167","https://openalex.org/W3124647649","https://openalex.org/W3157139700","https://openalex.org/W3164696250","https://openalex.org/W4309384924","https://openalex.org/W4311549477","https://openalex.org/W4313294266","https://openalex.org/W4317938494","https://openalex.org/W4324290989","https://openalex.org/W4376255269","https://openalex.org/W4384067620","https://openalex.org/W4385681582","https://openalex.org/W4386073666","https://openalex.org/W4390871945","https://openalex.org/W4400877061","https://openalex.org/W6628877408","https://openalex.org/W6677326919","https://openalex.org/W6745829810","https://openalex.org/W6846539651","https://openalex.org/W6854065558","https://openalex.org/W6855868503"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2935759653","https://openalex.org/W3105167352","https://openalex.org/W54078636","https://openalex.org/W2954470139","https://openalex.org/W1501425562","https://openalex.org/W2902782467","https://openalex.org/W3084825885","https://openalex.org/W2298861036"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,47],"of":[2,12,62,94,152,159,219],"sea":[3],"surface":[4],"temperature":[5],"(SST)":[6],"is":[7],"crucial":[8],"in":[9,27,90,111,168,217],"the":[10,28,44,58,84,91,95,108,136,143,150,153,157,160,169],"field":[11],"oceanography,":[13],"as":[14],"it":[15,186],"has":[16],"a":[17,36,65,71,101],"significant":[18],"impact":[19],"on":[20,114],"various":[21],"physical,":[22],"chemical,":[23],"and":[24,57,86,138,145,204],"biological":[25],"processes":[26],"marine":[29],"environment.":[30],"In":[31],"this":[32],"study,":[33],"we":[34,69,126,163],"propose":[35],"physics-guided":[37],"attention-based":[38],"neural":[39],"network":[40,197],"(PANN)":[41],"to":[42,82,106,119,133,181],"address":[43],"spatiotemporal":[45,54,72],"SST":[46,96,166],"problem.":[48],"The":[49,206],"PANN":[50],"model":[51,213],"incorporates":[52],"data-driven":[53,137],"convolution":[55,73],"operations":[56],"underlying":[59],"physical":[60,102],"dynamics":[61,110],"SSTs":[63],"using":[64,76],"cross-attention":[66],"mechanism.":[67],"First,":[68],"construct":[70],"module":[74,104,131],"(SCM)":[75],"convolutional":[77,195,199],"long":[78],"short-term":[79,165,224],"memory":[80],"(ConvLSTM)":[81],"capture":[83],"spatial":[85],"temporal":[87,194],"correlations":[88],"present":[89],"time":[92],"series":[93],"data.":[97],"We":[98],"then":[99],"introduce":[100],"constraint":[103],"(PCM)":[105],"mimic":[107],"transport":[109],"fluids":[112],"based":[113],"data":[115],"assimilation":[116],"techniques":[117],"used":[118],"solve":[120],"partial":[121],"differential":[122],"equations":[123],"(PDEs).":[124],"Consequently,":[125],"employ":[127],"an":[128],"attention":[129],"fusion":[130],"(AFM)":[132],"effectively":[134],"combine":[135],"PDE-constrained":[139],"predictions":[140],"obtained":[141],"from":[142,179],"SCM":[144],"PCM,":[146],"aiming":[147],"at":[148],"enhancing":[149],"accuracy":[151],"predictions.":[154,225],"To":[155],"evaluate":[156],"performance":[158],"proposed":[161,212],"model,":[162],"conduct":[164],"forecasts":[167],"East":[170],"China":[171],"Sea":[172],"(ECS)":[173],"with":[174,187],"forecast":[175],"lead":[176],"times":[177],"ranging":[178],"one":[180],"ten":[182],"days,":[183],"by":[184],"comparing":[185],"several":[188],"state-of-the-art":[189],"models,":[190],"including":[191],"ConvLSTM,":[192],"PredRNN,":[193],"transformer":[196],"(TCTN),":[198],"gated":[200],"recurrent":[201],"unit":[202],"(ConvGRU),":[203],"SwinLSTM.":[205],"experimental":[207],"results":[208],"demonstrate":[209],"that":[210],"our":[211],"outperforms":[214],"these":[215],"models":[216],"terms":[218],"multiple":[220],"evaluation":[221],"metrics":[222],"for":[223]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
