{"id":"https://openalex.org/W3096612857","doi":"https://doi.org/10.1109/bigdata50022.2020.9377890","title":"A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting","display_name":"A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3096612857","doi":"https://doi.org/10.1109/bigdata50022.2020.9377890","mag":"3096612857"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9377890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.14100","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100441494","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-7390-7613"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["College of Information Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039895229","display_name":"Hongling Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongling Liu","raw_affiliation_strings":["College of Information Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052743418","display_name":"Pengfei Li","orcid":"https://orcid.org/0000-0002-7076-7886"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Li","raw_affiliation_strings":["College of Information Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100657627","display_name":"Lei Han","orcid":"https://orcid.org/0000-0002-6141-4595"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Han","raw_affiliation_strings":["College of Information Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100441494"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.234,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57282006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"521","issue":null,"first_page":"3953","last_page":"3960"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9983999729156494,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9983000159263611,"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":0.9743193984031677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7783266305923462},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.713967502117157},{"id":"https://openalex.org/keywords/convective-storm-detection","display_name":"Convective storm detection","score":0.5018246173858643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47990477085113525},{"id":"https://openalex.org/keywords/storm","display_name":"Storm","score":0.4493449628353119},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43591606616973877},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41374385356903076},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3694759011268616},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.36824750900268555},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.11284676194190979},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09936225414276123}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.9743193984031677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7783266305923462},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.713967502117157},{"id":"https://openalex.org/C192932206","wikidata":"https://www.wikidata.org/wiki/Q16951299","display_name":"Convective storm detection","level":3,"score":0.5018246173858643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47990477085113525},{"id":"https://openalex.org/C105306849","wikidata":"https://www.wikidata.org/wiki/Q81054","display_name":"Storm","level":2,"score":0.4493449628353119},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43591606616973877},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41374385356903076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3694759011268616},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.36824750900268555},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.11284676194190979},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09936225414276123},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9377890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377890","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2010.14100","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.14100","pdf_url":"https://arxiv.org/pdf/2010.14100","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.14100","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.14100","pdf_url":"https://arxiv.org/pdf/2010.14100","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6800000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522734439","https://openalex.org/W1648933886","https://openalex.org/W1815076433","https://openalex.org/W1871180460","https://openalex.org/W1968370536","https://openalex.org/W1982479097","https://openalex.org/W2002521620","https://openalex.org/W2016184960","https://openalex.org/W2024414272","https://openalex.org/W2060786871","https://openalex.org/W2068212092","https://openalex.org/W2078308830","https://openalex.org/W2097451239","https://openalex.org/W2104167780","https://openalex.org/W2107878631","https://openalex.org/W2160203977","https://openalex.org/W2165644552","https://openalex.org/W2176523672","https://openalex.org/W2232647241","https://openalex.org/W2590366910","https://openalex.org/W2594353256","https://openalex.org/W2625614184","https://openalex.org/W2768975186","https://openalex.org/W2771590586","https://openalex.org/W2795928357","https://openalex.org/W2908415820","https://openalex.org/W2913340405","https://openalex.org/W2919115771","https://openalex.org/W2963866658","https://openalex.org/W2964121793","https://openalex.org/W3120882540","https://openalex.org/W3122092312","https://openalex.org/W4289096679","https://openalex.org/W6628877408","https://openalex.org/W6636918297","https://openalex.org/W6638545294","https://openalex.org/W6639239318","https://openalex.org/W6645810757","https://openalex.org/W6664464457","https://openalex.org/W6684671274","https://openalex.org/W6739112683","https://openalex.org/W6745829810","https://openalex.org/W6757735481","https://openalex.org/W6788733023"],"related_works":["https://openalex.org/W2802190565","https://openalex.org/W2797123029","https://openalex.org/W3207011416","https://openalex.org/W3104851051","https://openalex.org/W2160434530","https://openalex.org/W1971891908","https://openalex.org/W4322001589","https://openalex.org/W2068212092","https://openalex.org/W1024226195","https://openalex.org/W4323043499"],"abstract_inverted_index":{"The":[0,91],"goal":[1],"of":[2,9,26,47,109,126,133],"convective":[3,13,19],"storm":[4,20],"nowcasting":[5,21],"is":[6,169],"local":[7],"prediction":[8],"severe":[10],"and":[11,42,49,72,87,97,135,172],"imminent":[12],"storms.":[14],"Here,":[15],"we":[16,30,61,138],"consider":[17],"the":[18,24,45,53,79,83,101,110,124,131,146,164],"problem":[22],"from":[23],"perspective":[25],"machine":[27],"learning.":[28],"First,":[29],"use":[31],"a":[32,63,115,140,158],"pixel-wise":[33],"sampling":[34],"method":[35],"to":[36,56,69,174],"construct":[37],"spatiotemporal":[38],"features":[39,125],"for":[40,75],"nowcasting,":[41],"flexibly":[43],"adjust":[44],"proportions":[46],"positive":[48],"negative":[50],"samples":[51],"in":[52,149],"training":[54,84],"set":[55],"mitigate":[57],"class-imbalance":[58],"issues.":[59],"Second,":[60],"employ":[62],"concise":[64],"two-stream":[65,92,154],"convolutional":[66,105,117,160],"neural":[67,106,118,161,179],"network":[68,80,93,168],"extract":[70],"spatial":[71],"temporal":[73],"cues":[74],"nowcasting.":[76],"This":[77],"simplifies":[78],"structure,":[81],"reduces":[82],"time":[85],"requirement,":[86],"improves":[88],"classification":[89,134],"accuracy.":[90],"used":[94,148],"both":[95],"radar":[96],"satellite":[98],"data.":[99,128],"In":[100],"resulting":[102],"two-stream,":[103],"fused":[104],"network,":[107,119],"some":[108],"parameters":[111],"are":[112],"entered":[113],"into":[114,157],"single-stream":[116],"but":[120],"it":[121],"can":[122],"learn":[123],"many":[127],"Further,":[129],"considering":[130],"relevance":[132],"regression":[136],"tasks,":[137],"develop":[139],"multi-task":[141,155],"learning":[142,156],"strategy":[143],"that":[144],"predicts":[145],"labels":[147],"such":[150],"tasks.":[151],"We":[152],"integrate":[153],"single":[159],"network.":[162],"Given":[163],"compact":[165],"architecture,":[166],"this":[167],"more":[170],"efficient":[171],"easier":[173],"optimize":[175],"than":[176],"existing":[177],"recurrent":[178],"networks.":[180]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-11-09T00:00:00"}