{"id":"https://openalex.org/W4406857954","doi":"https://doi.org/10.1109/tgrs.2025.3534278","title":"SCECA-Net: A Deep Learning-Based Model for Precipitation Nowcasting","display_name":"SCECA-Net: A Deep Learning-Based Model for Precipitation Nowcasting","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406857954","doi":"https://doi.org/10.1109/tgrs.2025.3534278"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3534278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3534278","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/A5101886159","display_name":"Liangzhi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangzhi Li","raw_affiliation_strings":["School of Land Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Land Engineering, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111225235","display_name":"Xu Zhang","orcid":"https://orcid.org/0009-0005-2360-4178"},"institutions":[{"id":"https://openalex.org/I4210115513","display_name":"Xi\u2019an University","ror":"https://ror.org/01zzmf129","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210115513"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["College of Geological Engineering and Geomatics, Chang&#x2019;an University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"College of Geological Engineering and Geomatics, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210115513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111993997","display_name":"Ling Han","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Han","raw_affiliation_strings":["School of Land Engineering, Chang&#x2019;an University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Land Engineering, Chang&#x2019;an University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101886159"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":null,"apc_paid":null,"fwci":3.9128,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91448552,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.991599977016449,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.991599977016449,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9815999865531921,"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/nowcasting","display_name":"Nowcasting","score":0.9622299671173096},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.6313362121582031},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5710923075675964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4191584289073944},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.41328057646751404},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.38350915908813477},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24714624881744385},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07765960693359375}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.9622299671173096},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.6313362121582031},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5710923075675964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4191584289073944},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.41328057646751404},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.38350915908813477},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24714624881744385},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07765960693359375}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3534278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3534278","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":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1695990540","https://openalex.org/W1901129140","https://openalex.org/W2030459037","https://openalex.org/W2160434530","https://openalex.org/W2189951138","https://openalex.org/W2553664754","https://openalex.org/W2594928006","https://openalex.org/W2744720830","https://openalex.org/W2784025318","https://openalex.org/W2884436604","https://openalex.org/W2954058968","https://openalex.org/W2992852944","https://openalex.org/W3034552520","https://openalex.org/W3118349806","https://openalex.org/W3126335003","https://openalex.org/W3138340468","https://openalex.org/W3186404120","https://openalex.org/W3200052951","https://openalex.org/W4205701977","https://openalex.org/W4213020131","https://openalex.org/W4283699177","https://openalex.org/W4285810972","https://openalex.org/W4286008526","https://openalex.org/W4303980578","https://openalex.org/W4309534090","https://openalex.org/W4312851276","https://openalex.org/W4312963773","https://openalex.org/W4313244318","https://openalex.org/W4317437760","https://openalex.org/W4324067684","https://openalex.org/W4366310767","https://openalex.org/W4367314848","https://openalex.org/W4378714713","https://openalex.org/W4380882504","https://openalex.org/W4386071462","https://openalex.org/W4386432115","https://openalex.org/W4387802543","https://openalex.org/W4390459411","https://openalex.org/W4390740305","https://openalex.org/W4391849411","https://openalex.org/W6628877408","https://openalex.org/W6750259706"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2098567841","https://openalex.org/W4321491554","https://openalex.org/W2354666346","https://openalex.org/W2990103402","https://openalex.org/W2744720830","https://openalex.org/W4388725863","https://openalex.org/W2293599620","https://openalex.org/W2979735839"],"abstract_inverted_index":{"In":[0],"the":[1,100,110,115,129],"context":[2],"of":[3,6,102,117],"precipitation":[4],"nowcasting":[5],"severe":[7],"convective":[8],"weather,":[9],"radar":[10],"echo":[11,28,96],"extrapolation":[12],"is":[13],"a":[14,64],"commonly":[15],"employed":[16],"method.":[17],"However,":[18],"existing":[19],"methods":[20],"still":[21],"face":[22],"numerous":[23],"challenges,":[24],"such":[25],"as":[26],"inaccurate":[27],"boundary":[29],"predictions,":[30],"redundant":[31],"feature":[32,56],"extraction,":[33],"and":[34,58,70,75,80,88,98,119,138],"prolonged":[35],"inference":[36],"time,":[37],"which":[38],"reduce":[39,120],"efficiency.":[40],"This":[41],"article":[42],"proposes":[43],"an":[44],"innovative":[45],"spatial-channel":[46],"enhanced":[47],"convolutional":[48,65],"attention":[49,83,93],"network":[50,67],"(SCECA-Net)":[51],"model":[52,131],"aimed":[53],"at":[54],"improving":[55],"extraction":[57,101],"enhancing":[59,99],"prediction":[60],"accuracy.":[61,139],"SCECA-Net":[62],"adopts":[63],"neural":[66],"(CNN)":[68],"architecture":[69],"incorporates":[71],"SCECA":[72],"modules":[73],"[spatial":[74],"channel":[76,82,89],"reconstruction":[77],"convolution":[78],"(SCConv)":[79],"efficient":[81],"(ECA)],":[84],"effectively":[85],"reducing":[86],"spatial":[87],"redundancies":[90],"while":[91],"increasing":[92],"to":[94],"critical":[95],"regions":[97],"temporal":[103],"sequence":[104],"features.":[105,123],"Additionally,":[106],"continuous":[107],"convolutions":[108],"in":[109,135],"Dense":[111],"Layer":[112],"further":[113],"mitigate":[114],"risk":[116],"overfitting":[118],"interference":[121],"between":[122],"The":[124],"experimental":[125],"results":[126],"demonstrate":[127],"that":[128],"proposed":[130],"exhibits":[132],"outstanding":[133],"performance":[134],"both":[136],"efficiency":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
