{"id":"https://openalex.org/W4290999163","doi":"https://doi.org/10.3390/rs14163890","title":"NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes","display_name":"NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes","publication_year":2022,"publication_date":"2022-08-11","ids":{"openalex":"https://openalex.org/W4290999163","doi":"https://doi.org/10.3390/rs14163890"},"language":"en","primary_location":{"id":"doi:10.3390/rs14163890","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163890","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3890/pdf?version=1660221985","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/2072-4292/14/16/3890/pdf?version=1660221985","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005516922","display_name":"Alexandra-Ioana Albu","orcid":null},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Alexandra-Ioana Albu","raw_affiliation_strings":["Department of Computer Science, Babe\u015f-Bolyai University, 400084 Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Babe\u015f-Bolyai University, 400084 Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052905844","display_name":"Gabriela Czibula","orcid":"https://orcid.org/0000-0001-7852-681X"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Gabriela Czibula","raw_affiliation_strings":["Department of Computer Science, Babe\u015f-Bolyai University, 400084 Cluj-Napoca, Romania"],"raw_orcid":"https://orcid.org/0000-0001-7852-681X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Babe\u015f-Bolyai University, 400084 Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017338258","display_name":"Andrei Mihai","orcid":"https://orcid.org/0000-0001-5404-2319"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Andrei Mihai","raw_affiliation_strings":["Department of Computer Science, Babe\u015f-Bolyai University, 400084 Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Babe\u015f-Bolyai University, 400084 Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028354259","display_name":"Istv\u00e1n Gergely Czibula","orcid":"https://orcid.org/0000-0003-0076-584X"},"institutions":[{"id":"https://openalex.org/I3125347698","display_name":"Babe\u0219-Bolyai University","ror":"https://ror.org/02rmd1t30","country_code":"RO","type":"education","lineage":["https://openalex.org/I3125347698"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Istvan Gergely Czibula","raw_affiliation_strings":["Department of Computer Science, Babe\u015f-Bolyai University, 400084 Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Babe\u015f-Bolyai University, 400084 Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I3125347698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011592474","display_name":"Sorin Burcea","orcid":"https://orcid.org/0000-0002-0043-7873"},"institutions":[{"id":"https://openalex.org/I4210110581","display_name":"Administra\u0163ia Na\u0163ional\u0103 de Meteorologie","ror":"https://ror.org/01sa63389","country_code":"RO","type":"facility","lineage":["https://openalex.org/I4210110581"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sorin Burcea","raw_affiliation_strings":["Romanian National Meteorological Administration, 013686 Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Romanian National Meteorological Administration, 013686 Bucharest, Romania","institution_ids":["https://openalex.org/I4210110581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026824962","display_name":"Abdelkader Mezghani","orcid":"https://orcid.org/0000-0003-2825-5884"},"institutions":[{"id":"https://openalex.org/I1314042554","display_name":"Norwegian Meteorological Institute","ror":"https://ror.org/001n36p86","country_code":"NO","type":"government","lineage":["https://openalex.org/I1314042554"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Abdelkader Mezghani","raw_affiliation_strings":["Meteorologisk Instittut, 0371 Oslo, Norway"],"raw_orcid":"https://orcid.org/0000-0003-2825-5884","affiliations":[{"raw_affiliation_string":"Meteorologisk Instittut, 0371 Oslo, Norway","institution_ids":["https://openalex.org/I1314042554"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052905844"],"corresponding_institution_ids":["https://openalex.org/I3125347698"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.3054,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87471127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"14","issue":"16","first_page":"3890","last_page":"3890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9998000264167786,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9998000264167786,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9998000264167786,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nowcasting","display_name":"Nowcasting","score":0.9384480714797974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7137364745140076},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6466818451881409},{"id":"https://openalex.org/keywords/weather-radar","display_name":"Weather radar","score":0.5645826458930969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46807560324668884},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40881162881851196},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3483361601829529},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33385902643203735},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.21144133806228638},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10534867644309998}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.9384480714797974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7137364745140076},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6466818451881409},{"id":"https://openalex.org/C92237259","wikidata":"https://www.wikidata.org/wiki/Q863343","display_name":"Weather radar","level":3,"score":0.5645826458930969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46807560324668884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40881162881851196},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3483361601829529},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33385902643203735},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.21144133806228638},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10534867644309998},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14163890","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163890","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3890/pdf?version=1660221985","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:0b694a323d20468f90c79c2dfca61353","is_oa":true,"landing_page_url":"https://doaj.org/article/0b694a323d20468f90c79c2dfca61353","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 16, p 3890 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/16/3890/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14163890","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; Volume 14; Issue 16; Pages: 3890","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14163890","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163890","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3890/pdf?version=1660221985","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":0.4699999988079071,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4290999163.pdf","grobid_xml":"https://content.openalex.org/works/W4290999163.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1493518125","https://openalex.org/W1620611560","https://openalex.org/W1916041339","https://openalex.org/W2016184960","https://openalex.org/W2024414272","https://openalex.org/W2076318482","https://openalex.org/W2175461096","https://openalex.org/W2194775991","https://openalex.org/W2517617279","https://openalex.org/W2549139847","https://openalex.org/W2791404987","https://openalex.org/W2795928357","https://openalex.org/W2980742496","https://openalex.org/W2989173953","https://openalex.org/W2991559313","https://openalex.org/W2998557500","https://openalex.org/W3001630685","https://openalex.org/W3009216045","https://openalex.org/W3010027900","https://openalex.org/W3036870352","https://openalex.org/W3036928813","https://openalex.org/W3093785987","https://openalex.org/W3094897602","https://openalex.org/W3097431378","https://openalex.org/W3103277094","https://openalex.org/W3113711264","https://openalex.org/W3122092312","https://openalex.org/W3126335003","https://openalex.org/W4200348065","https://openalex.org/W4220758120","https://openalex.org/W4283807699","https://openalex.org/W4283809070","https://openalex.org/W4283818963","https://openalex.org/W4289201796"],"related_works":["https://openalex.org/W2798120804","https://openalex.org/W2997500395","https://openalex.org/W2050024921","https://openalex.org/W3011109177","https://openalex.org/W2036324114","https://openalex.org/W1933455866","https://openalex.org/W1544437858","https://openalex.org/W2166923512","https://openalex.org/W2275457798","https://openalex.org/W2128697856"],"abstract_inverted_index":{"With":[0],"the":[1,5,11,22,30,81,89,95,111,120,128,140,156,170,177,187,201,240,250,263],"recent":[2],"increase":[3],"in":[4,88,119,200,239],"occurrence":[6],"of":[7,13,18,32,52,101,142,155,189,235],"severe":[8],"weather":[9,15,68],"phenomena,":[10],"development":[12],"accurate":[14,197],"nowcasting":[16,241],"is":[17,71,212,231],"paramount":[19],"importance.":[20],"Among":[21],"computational":[23],"methods":[24],"that":[25,70,84,116,144,166,186,206,216,230,254,268],"are":[26,117],"used":[27],"to":[28,43,93,134,195,233,244,249,258,262,272],"predict":[29],"evolution":[31],"weather,":[33],"deep":[34],"learning":[35,47],"techniques":[36],"offer":[37],"a":[38,64,213,228],"particularly":[39],"appealing":[40],"solution":[41],"due":[42,133],"their":[44,55],"capability":[45],"for":[46,67,130,139,148,221],"patterns":[48],"from":[49,110,169,256,270],"large":[50],"amounts":[51],"data":[53,165,224],"and":[54,176,182,226,260],"fast":[56],"inference":[57],"times.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,183],"propose":[63],"convolutional":[65,104,214],"network":[66,132],"forecasting":[69],"based":[72],"on":[73],"radar":[74,108,114,164,192,223],"product":[75],"prediction.":[76],"Our":[77],"model":[78],"(NeXtNow)":[79],"adapts":[80],"ResNeXt":[82,123],"architecture":[83,124,215],"has":[85,217,227],"been":[86,219],"proposed":[87,220],"computer":[90],"vision":[91],"literature":[92],"solve":[94],"spatiotemporal":[96],"prediction":[97,225],"problem.":[98],"NeXtNow":[99,207,246],"consists":[100],"an":[102],"encoder\u2013decoder":[103],"architecture,":[105],"which":[106,137,211],"maps":[107],"measurements":[109,115,193],"past":[112,191],"onto":[113],"recorded":[118],"future.":[121,202],"The":[122],"was":[125],"chosen":[126],"as":[127],"basis":[129],"our":[131,161],"its":[135],"flexibility,":[136],"allows":[138],"design":[141],"models":[143],"can":[145],"be":[146],"customized":[147],"specific":[149],"tasks":[150],"by":[151],"stacking":[152],"multiple":[153,190],"blocks":[154],"same":[157],"type.":[158],"We":[159,203],"validated":[160],"approach":[162],"using":[163],"were":[167],"collected":[168],"Romanian":[171],"National":[172],"Meteorological":[173,179],"Administration":[174],"(NMA)":[175],"Norwegian":[178],"Institute":[180],"(MET)":[181],"empirically":[184],"showed":[185,205],"inclusion":[188],"led":[194],"more":[196],"predictions":[198],"further":[199],"also":[204],"could":[208],"outperform":[209],"XNow,":[210,245],"previously":[218],"short-term":[222],"performance":[229],"comparable":[232],"those":[234],"other":[236],"similar":[237],"approaches":[238],"literature.":[242],"Compared":[243],"provided":[247],"improvements":[248,261],"critical":[251],"success":[252],"index":[253],"ranged":[255,269],"1%":[257],"17%":[259],"root":[264],"mean":[265],"square":[266],"error":[267],"5%":[271],"6%.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-02T09:04:35.204637","created_date":"2022-08-13T00:00:00"}