{"id":"https://openalex.org/W4392824564","doi":"https://doi.org/10.1145/3638584.3638671","title":"Data Fusion Optimization and Contribution Assessment of Dual-Polarization Radar Data in Short-Term Forecasting of Convective Precipitation","display_name":"Data Fusion Optimization and Contribution Assessment of Dual-Polarization Radar Data in Short-Term Forecasting of Convective Precipitation","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4392824564","doi":"https://doi.org/10.1145/3638584.3638671"},"language":"en","primary_location":{"id":"doi:10.1145/3638584.3638671","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-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/A5103109368","display_name":"G. Zhao","orcid":"https://orcid.org/0009-0001-7031-4449"},"institutions":[{"id":"https://openalex.org/I58995867","display_name":"Civil Aviation Flight University of China","ror":"https://ror.org/01xyb1v19","country_code":"CN","type":"education","lineage":["https://openalex.org/I58995867"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoqing Zhao","raw_affiliation_strings":["Civil Aviation Flight University of China, China"],"raw_orcid":"https://orcid.org/0009-0001-7031-4449","affiliations":[{"raw_affiliation_string":"Civil Aviation Flight University of China, China","institution_ids":["https://openalex.org/I58995867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083553988","display_name":"Leilei Deng","orcid":"https://orcid.org/0009-0008-8993-5270"},"institutions":[{"id":"https://openalex.org/I58995867","display_name":"Civil Aviation Flight University of China","ror":"https://ror.org/01xyb1v19","country_code":"CN","type":"education","lineage":["https://openalex.org/I58995867"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leilei Deng","raw_affiliation_strings":["Civil Aviation Flight University of China, China"],"raw_orcid":"https://orcid.org/0009-0008-8993-5270","affiliations":[{"raw_affiliation_string":"Civil Aviation Flight University of China, China","institution_ids":["https://openalex.org/I58995867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022726303","display_name":"Zhiyuan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I58995867","display_name":"Civil Aviation Flight University of China","ror":"https://ror.org/01xyb1v19","country_code":"CN","type":"education","lineage":["https://openalex.org/I58995867"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Chen","raw_affiliation_strings":["Civil Aviation Flight University of China, China"],"raw_orcid":"https://orcid.org/0009-0006-1528-1097","affiliations":[{"raw_affiliation_string":"Civil Aviation Flight University of China, China","institution_ids":["https://openalex.org/I58995867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101600776","display_name":"Xianbiao Kang","orcid":"https://orcid.org/0009-0005-7379-0458"},"institutions":[{"id":"https://openalex.org/I58995867","display_name":"Civil Aviation Flight University of China","ror":"https://ror.org/01xyb1v19","country_code":"CN","type":"education","lineage":["https://openalex.org/I58995867"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianbiao Kang","raw_affiliation_strings":["Civil Aviation Flight University of China, China"],"raw_orcid":"https://orcid.org/0009-0005-7379-0458","affiliations":[{"raw_affiliation_string":"Civil Aviation Flight University of China, China","institution_ids":["https://openalex.org/I58995867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103109368"],"corresponding_institution_ids":["https://openalex.org/I58995867"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21276824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"171"},"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/T10644","display_name":"Cryospheric studies and observations","score":0.9962999820709229,"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/T10029","display_name":"Climate variability and models","score":0.9959999918937683,"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/radar","display_name":"Radar","score":0.6444154977798462},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.6075601577758789},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.6069952249526978},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6068384051322937},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5621565580368042},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.524552583694458},{"id":"https://openalex.org/keywords/convection","display_name":"Convection","score":0.49242767691612244},{"id":"https://openalex.org/keywords/weather-radar","display_name":"Weather radar","score":0.4897163212299347},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.46777787804603577},{"id":"https://openalex.org/keywords/dual-polarization-interferometry","display_name":"Dual-polarization interferometry","score":0.44944360852241516},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.4240402281284332},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4158247411251068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30746200680732727},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.24169191718101501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11432412266731262},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09676796197891235},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09665283560752869},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08049127459526062}],"concepts":[{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6444154977798462},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.6075601577758789},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.6069952249526978},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6068384051322937},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5621565580368042},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.524552583694458},{"id":"https://openalex.org/C10899652","wikidata":"https://www.wikidata.org/wiki/Q160329","display_name":"Convection","level":2,"score":0.49242767691612244},{"id":"https://openalex.org/C92237259","wikidata":"https://www.wikidata.org/wiki/Q863343","display_name":"Weather radar","level":3,"score":0.4897163212299347},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.46777787804603577},{"id":"https://openalex.org/C161926555","wikidata":"https://www.wikidata.org/wiki/Q3799470","display_name":"Dual-polarization interferometry","level":3,"score":0.44944360852241516},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.4240402281284332},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4158247411251068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30746200680732727},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.24169191718101501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11432412266731262},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09676796197891235},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09665283560752869},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08049127459526062},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638584.3638671","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"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":6,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W2016184960","https://openalex.org/W2024414272","https://openalex.org/W2048046425","https://openalex.org/W2070158856","https://openalex.org/W2175461096"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W3010856292","https://openalex.org/W2936518406","https://openalex.org/W3011664904","https://openalex.org/W2034914671","https://openalex.org/W2963227865","https://openalex.org/W4312802624","https://openalex.org/W3140191835","https://openalex.org/W3120507725","https://openalex.org/W2772523733"],"abstract_inverted_index":{"China's":[0],"complex":[1],"geographical":[2],"environment":[3],"frequently":[4],"leads":[5],"to":[6,19,127,184],"severe":[7,230],"convective":[8,65,84,231],"weather":[9,27,66,90,221,232],"events,":[10],"including":[11],"thunderstorms,":[12],"hail,":[13],"and":[14,22,51,73,93,104,213],"tornadoes,":[15],"posing":[16],"significant":[17],"threats":[18],"the":[20,43,95,107,117,135,143,168,171,175,185,217,225],"economy":[21],"public":[23],"safety.":[24],"Upgraded":[25],"Doppler":[26,89,220],"radar":[28,57,91,222],"systems":[29,47],"now":[30],"provide":[31,208],"a":[32,123,149,209],"broader":[33],"range":[34],"of":[35,64,70,106,219,227],"parameters,":[36],"enhancing":[37],"short-term":[38,62,83],"quantitative":[39,79],"precipitation":[40,80,100,199,228],"estimation.":[41],"Leveraging":[42],"Conv-LSTM":[44],"method,":[45],"these":[46],"capture":[48],"spatiotemporal":[49],"characteristics":[50],"relationships":[52],"among":[53],"multiple":[54],"parameters":[55,92,138,155,195,223],"within":[56,167],"echo":[58],"images,":[59],"enabling":[60],"precise":[61],"forecasting":[63,81,144],"precipitation.":[67],"The":[68,162],"integration":[69],"advanced":[71],"equipment":[72],"technology":[74],"has":[75],"yielded":[76],"breakthroughs":[77],"in":[78,142,224],"for":[82,99,159,216],"events.":[85,233],"To":[86],"fully":[87],"utilize":[88],"select":[94],"most":[96,136],"effective":[97],"ones":[98],"estimation,":[101],"an":[102],"evaluation":[103],"optimization":[105,214],"current":[108],"convolutional":[109],"neural":[110,118],"network":[111,119],"is":[112],"essential.":[113],"Our":[114],"approach":[115,215],"enhances":[116],"structure":[120],"by":[121],"incorporating":[122],"self-attention":[124,169],"mechanism":[125],"layer":[126,152],"assess":[128],"individual":[129],"parameter":[130,173],"contributions.":[131],"This":[132],"ensures":[133],"that":[134,153,166],"informative":[137],"receive":[139],"greater":[140],"importance":[141],"process.":[145],"Additionally,":[146],"we":[147],"introduce":[148],"dynamic":[150],"allocation":[151],"prioritizes":[154],"with":[156],"higher":[157],"weightings":[158],"subsequent":[160],"predictions.":[161],"study":[163],"results":[164],"reveal":[165],"layer,":[170],"KDP":[172],"exhibits":[174],"highest":[176],"composite":[177],"weight,":[178],"underscoring":[179],"its":[180],"significance.":[181],"When":[182],"compared":[183],"conventional":[186],"ConvLSTM":[187],"algorithm,":[188,191],"our":[189],"improved":[190],"which":[192],"dynamically":[193],"selects":[194],"after":[196],"discerning":[197],"different":[198],"phases,":[200],"consistently":[201],"yields":[202],"superior":[203],"estimation":[204,226],"performance.":[205],"These":[206],"findings":[207],"viable":[210],"assessment":[211],"strategy":[212],"application":[218],"during":[229]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
