{"id":"https://openalex.org/W3207858308","doi":"https://doi.org/10.1109/igarss47720.2021.9553617","title":"Convective precipitation nowcasting using U-Net Model","display_name":"Convective precipitation nowcasting using U-Net Model","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207858308","doi":"https://doi.org/10.1109/igarss47720.2021.9553617","mag":"3207858308"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5010540039","display_name":"Liang He","orcid":"https://orcid.org/0000-0002-4723-5486"},"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":"He Liang","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767774","display_name":"Haonan Chen","orcid":"https://orcid.org/0000-0002-9795-3064"},"institutions":[{"id":"https://openalex.org/I92446798","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17","country_code":"US","type":"education","lineage":["https://openalex.org/I92446798"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haonan Chen","raw_affiliation_strings":["Colorado State University, Fort Collins, CO"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Colorado State University, Fort Collins, CO","institution_ids":["https://openalex.org/I92446798"]}]},{"author_position":"middle","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":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039842586","display_name":"Yurong Ge","orcid":"https://orcid.org/0000-0001-5705-6505"},"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":"Yurong Ge","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, 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 Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3265,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79225011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9995999932289124,"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":0.998199999332428,"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":0.9900624752044678},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.7910877466201782},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.6770935654640198},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6646472215652466},{"id":"https://openalex.org/keywords/weather-radar","display_name":"Weather radar","score":0.6171045899391174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6071050763130188},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5692905783653259},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4915963113307953},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4464977979660034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4102014899253845},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3922331631183624},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19393333792686462},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19214126467704773},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15689802169799805},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1295735239982605}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.9900624752044678},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7910877466201782},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.6770935654640198},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6646472215652466},{"id":"https://openalex.org/C92237259","wikidata":"https://www.wikidata.org/wiki/Q863343","display_name":"Weather radar","level":3,"score":0.6171045899391174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6071050763130188},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5692905783653259},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4915963113307953},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4464977979660034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4102014899253845},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3922331631183624},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19393333792686462},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19214126467704773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15689802169799805},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1295735239982605}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G2062805191","display_name":null,"funder_award_id":"2018YFC1507504-6","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4644136382","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u548c\u8fc1\u79fb\u5b66\u4e60\u7684\u5bf9\u6d41\u65b0\u751f\u4e34\u8fd1\u9884\u62a5\u65b9\u6cd5\u7814\u7a76","funder_award_id":"41875049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2024414272","https://openalex.org/W2194775991","https://openalex.org/W2625614184","https://openalex.org/W2768975186","https://openalex.org/W6628877408","https://openalex.org/W6639824700","https://openalex.org/W6739112683","https://openalex.org/W6745829810"],"related_works":["https://openalex.org/W4383749006","https://openalex.org/W4321995217","https://openalex.org/W2042164530","https://openalex.org/W2382246707","https://openalex.org/W2026755796","https://openalex.org/W3167799101","https://openalex.org/W3006494102","https://openalex.org/W2187296962","https://openalex.org/W141949832","https://openalex.org/W188653796"],"abstract_inverted_index":{"Convective":[0],"precipitation":[1,34,108],"nowcasting":[2,22],"remains":[3],"challenging":[4],"due":[5],"to":[6],"the":[7,16,39,46,75,116,122,130],"fast":[8],"change":[9],"of":[10,38,51,58,133],"convective":[11],"weather.":[12],"Radar":[13],"images":[14],"are":[15,70],"most":[17],"important":[18],"data":[19],"source":[20],"in":[21,74,107,136],"research":[23,109],"area.":[24],"This":[25,127],"study":[26],"proposes":[27],"a":[28,82],"radar":[29,44,52],"data-based":[30],"U-Net":[31,67,118],"model":[32,40,56],"for":[33,72],"nowcasting.":[35],"The":[36,55,111],"input":[37],"is":[41,48,81,89,97],"five":[42],"consecutive":[43],"images;":[45],"output":[47],"30-min":[49],"prediction":[50],"reflectivity":[53],"image.":[54],"consists":[57],"three":[59],"parts:":[60],"upsampling,":[61],"downsampling":[62],"and":[63,68,102],"skip-connection.":[64],"Two":[65],"models,":[66],"TrajGRU,":[69],"used":[71,106],"comparison":[73],"experiments.":[76],"Different":[77],"from":[78],"U-Net,":[79],"which":[80,96],"CNN-based":[83,117,134],"(Convolution":[84],"Neural":[85,93],"Network)":[86,94],"model,":[87,95],"TrajGRU":[88],"an":[90],"RNN-based":[91],"(Recurrent":[92],"good":[98],"at":[99],"time-series":[100,138],"processing":[101],"has":[103],"been":[104],"widely":[105],"community.":[110],"experimental":[112],"results":[113],"show":[114],"that":[115],"can":[119],"achieve":[120],"almost":[121],"same":[123],"performance":[124],"as":[125],"TrajGRU.":[126],"result":[128],"shows":[129],"great":[131],"potential":[132],"models":[135],"handling":[137],"applications.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
