{"id":"https://openalex.org/W2941506090","doi":"https://doi.org/10.1109/vcip.2018.8698733","title":"FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting","display_name":"FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2941506090","doi":"https://doi.org/10.1109/vcip.2018.8698733","mag":"2941506090"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2018.8698733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031922169","display_name":"Chao Tan","orcid":"https://orcid.org/0000-0003-4519-6804"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Tan","raw_affiliation_strings":["College of Computer Science and Engeering, Chongqing University of Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engeering, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102983244","display_name":"Xin Feng","orcid":"https://orcid.org/0000-0002-9187-5552"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Feng","raw_affiliation_strings":["College of Computer Science and Engeering, Chongqing University of Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engeering, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111408013","display_name":"Jianwu Long","orcid":"https://orcid.org/0000-0002-4690-7527"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwu Long","raw_affiliation_strings":["College of Computer Science and Engeering, Chongqing University of Technology, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engeering, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029696367","display_name":"Li Geng","orcid":"https://orcid.org/0000-0003-1974-6980"},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]},{"id":"https://openalex.org/I76513827","display_name":"New York City College of Technology","ror":"https://ror.org/021a7pw18","country_code":"US","type":"education","lineage":["https://openalex.org/I76513827"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Geng","raw_affiliation_strings":["New York City College of Technology of City University of New York, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York City College of Technology of City University of New York, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I76513827","https://openalex.org/I174216632"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9983999729156494,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9952999949455261,"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/nowcasting","display_name":"Nowcasting","score":0.9542744159698486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7386537790298462},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6822713613510132},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.565890371799469},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.5229964256286621},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4992790222167969},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4812205135822296},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47448018193244934},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4567921459674835},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4521501362323761},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.41623690724372864},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.4146643579006195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41175544261932373},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3294256329536438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3228985071182251},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1852964162826538},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08730432391166687}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.9542744159698486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7386537790298462},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6822713613510132},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.565890371799469},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.5229964256286621},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4992790222167969},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4812205135822296},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47448018193244934},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4567921459674835},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4521501362323761},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.41623690724372864},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.4146643579006195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41175544261932373},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3294256329536438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3228985071182251},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1852964162826538},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08730432391166687},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2018.8698733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698733","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1940872118","https://openalex.org/W1986690059","https://openalex.org/W2030459037","https://openalex.org/W2116261113","https://openalex.org/W2136979888","https://openalex.org/W2151889490","https://openalex.org/W2618168474","https://openalex.org/W2625614184","https://openalex.org/W2726502300","https://openalex.org/W2753526808","https://openalex.org/W2767264170","https://openalex.org/W2963078493","https://openalex.org/W6640362995","https://openalex.org/W6680930200","https://openalex.org/W6738357879","https://openalex.org/W6739112683","https://openalex.org/W6739986716","https://openalex.org/W6745526139"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W4311257506","https://openalex.org/W2337926734","https://openalex.org/W4366224123","https://openalex.org/W4320802194","https://openalex.org/W2161877366"],"abstract_inverted_index":{"With":[0],"the":[1,24,63,77,83,87,91,123,128,138,141],"highly":[2],"demand":[3],"of":[4,14,23,90,140],"large-scale":[5,105],"and":[6,86,102,127],"real-time":[7],"weather":[8,25],"service":[9],"for":[10],"public,":[11],"a":[12,30,39,56,104],"refinement":[13],"short-time":[15],"cloudage":[16,32,92],"prediction":[17,119],"has":[18],"become":[19],"an":[20],"essential":[21],"part":[22],"forecast":[26],"productions.":[27],"To":[28],"provide":[29],"weather-service-compliant":[31],"nowcasting,":[33],"in":[34,76],"this":[35],"paper,":[36],"we":[37,51],"propose":[38],"novel":[40],"hierarchical":[41,78],"Convolutional":[42],"Long-Short-Term":[43],"Memory":[44],"network":[45,79],"based":[46],"deep":[47],"learning":[48],"model,":[49],"which":[50],"term":[52],"as":[53],"FORECAST-CLSTM,":[54],"with":[55,122],"new":[57],"Forecaster":[58,130],"loss":[59,148],"function":[60],"to":[61,72,81,116,136],"predict":[62,82],"future":[64],"satellite":[65,100],"cloud":[66],"images.":[67],"The":[68,110],"model":[69,113,126],"is":[70,114,133],"designed":[71],"fuse":[73],"multi-scale":[74],"features":[75],"structure":[80],"pixel":[84],"value":[85],"morphological":[88],"movement":[89],"simultaneously.":[93],"We":[94],"also":[95,134],"collect":[96],"about":[97],"40K":[98],"infrared":[99],"nephograms":[101],"create":[103],"Satellite":[106],"Cloudage":[107],"Map":[108],"Dataset(SCMD).":[109],"proposed":[111,129],"FORECAST-CLSTM":[112],"shown":[115],"achieve":[117],"better":[118,145],"performance":[120],"compared":[121],"state-of-the-art":[124],"ConvLSTM":[125],"Loss":[131],"Function":[132],"demonstrated":[135],"retain":[137],"uncertainty":[139],"real":[142],"atmosphere":[143],"condition":[144],"than":[146],"conventional":[147],"function.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
