{"id":"https://openalex.org/W4401074689","doi":"https://doi.org/10.3390/s24154895","title":"Improving Nowcasting of Intense Convective Precipitation by Incorporating Dual-Polarization Radar Variables into Generative Adversarial Networks","display_name":"Improving Nowcasting of Intense Convective Precipitation by Incorporating Dual-Polarization Radar Variables into Generative Adversarial Networks","publication_year":2024,"publication_date":"2024-07-28","ids":{"openalex":"https://openalex.org/W4401074689","doi":"https://doi.org/10.3390/s24154895","pmid":"https://pubmed.ncbi.nlm.nih.gov/39123942"},"language":"en","primary_location":{"id":"doi:10.3390/s24154895","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24154895","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s24154895","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092593548","display_name":"Pengjie Cai","orcid":"https://orcid.org/0009-0006-0832-1214"},"institutions":[{"id":"https://openalex.org/I79223203","display_name":"Guangdong Ocean University","ror":"https://ror.org/0462wa640","country_code":"CN","type":"education","lineage":["https://openalex.org/I79223203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengjie Cai","raw_affiliation_strings":["School of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China","institution_ids":["https://openalex.org/I79223203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411303","display_name":"He Huang","orcid":"https://orcid.org/0000-0003-1935-8275"},"institutions":[{"id":"https://openalex.org/I79223203","display_name":"Guangdong Ocean University","ror":"https://ror.org/0462wa640","country_code":"CN","type":"education","lineage":["https://openalex.org/I79223203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Huang","raw_affiliation_strings":["School of Fisheries, Guangdong Ocean University, Zhanjiang 524088, China"],"affiliations":[{"raw_affiliation_string":"School of Fisheries, Guangdong Ocean University, Zhanjiang 524088, China","institution_ids":["https://openalex.org/I79223203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029801461","display_name":"Taoli Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I79223203","display_name":"Guangdong Ocean University","ror":"https://ror.org/0462wa640","country_code":"CN","type":"education","lineage":["https://openalex.org/I79223203"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Taoli Liu","raw_affiliation_strings":["School of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China","institution_ids":["https://openalex.org/I79223203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029801461"],"corresponding_institution_ids":["https://openalex.org/I79223203"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3766,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58054331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"24","issue":"15","first_page":"4895","last_page":"4895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","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/T11234","display_name":"Precipitation Measurement and Analysis","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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9988999962806702,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9955000281333923,"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":0.9200766086578369},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.584068238735199},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5743567943572998},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5671089291572571},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.5318087339401245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.491865873336792},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4835178852081299},{"id":"https://openalex.org/keywords/weather-radar","display_name":"Weather radar","score":0.48121216893196106},{"id":"https://openalex.org/keywords/convection","display_name":"Convection","score":0.45722001791000366},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4519854784011841},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4283900856971741},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36986905336380005},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3479820787906647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30397874116897583},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2688169479370117},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1897410750389099},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16514238715171814},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.13049736618995667}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.9200766086578369},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.584068238735199},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5743567943572998},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5671089291572571},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.5318087339401245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.491865873336792},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4835178852081299},{"id":"https://openalex.org/C92237259","wikidata":"https://www.wikidata.org/wiki/Q863343","display_name":"Weather radar","level":3,"score":0.48121216893196106},{"id":"https://openalex.org/C10899652","wikidata":"https://www.wikidata.org/wiki/Q160329","display_name":"Convection","level":2,"score":0.45722001791000366},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4519854784011841},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4283900856971741},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36986905336380005},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3479820787906647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30397874116897583},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2688169479370117},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1897410750389099},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16514238715171814},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.13049736618995667},{"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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24154895","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24154895","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:39123942","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39123942","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:2e04a973686e4baf964f030cee1634a8","is_oa":true,"landing_page_url":"https://doaj.org/article/2e04a973686e4baf964f030cee1634a8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 15, p 4895 (2024)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11314652","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11314652","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s24154895","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24154895","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1975423361","https://openalex.org/W1977915097","https://openalex.org/W2024414272","https://openalex.org/W2133665775","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2334150767","https://openalex.org/W2594893516","https://openalex.org/W2608641923","https://openalex.org/W2619383789","https://openalex.org/W2726820621","https://openalex.org/W2752782242","https://openalex.org/W2783606166","https://openalex.org/W2913323966","https://openalex.org/W2945086703","https://openalex.org/W2955483756","https://openalex.org/W2962834855","https://openalex.org/W2962974533","https://openalex.org/W2970546341","https://openalex.org/W2998695746","https://openalex.org/W3085812513","https://openalex.org/W3096831136","https://openalex.org/W3101310341","https://openalex.org/W3191285888","https://openalex.org/W3202525453","https://openalex.org/W3207011416","https://openalex.org/W3211054674","https://openalex.org/W4250482878","https://openalex.org/W4283791586","https://openalex.org/W4383197616","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6747362558"],"related_works":["https://openalex.org/W2098567841","https://openalex.org/W2888032422","https://openalex.org/W3156763702","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"The":[0,72,116],"nowcasting":[1,59,70,263],"of":[2,43,60,108,171,224,264,272,297,316],"strong":[3,29],"convective":[4,30],"precipitation":[5,31],"is":[6,75,120,156,218,236],"highly":[7,248],"demanded":[8],"and":[9,37,92,95,102,202,247,285,319],"presents":[10],"significant":[11],"challenges,":[12],"as":[13,292,294],"it":[14],"offers":[15],"meteorological":[16],"services":[17],"to":[18,22,77,99,105,112,134,220,227,238,243],"diverse":[19],"socio-economic":[20],"sectors":[21],"prevent":[23],"catastrophic":[24],"weather":[25],"events":[26],"accompanied":[27],"by":[28,165],"from":[32],"causing":[33],"substantial":[34],"economic":[35],"losses":[36],"human":[38],"casualties.":[39],"With":[40],"the":[41,58,69,81,103,113,125,128,131,136,141,144,147,152,161,169,185,191,198,203,208,222,225,231,240,262,265],"accumulation":[42],"dual-polarization":[44],"radar":[45],"data,":[46,201],"deep":[47],"learning":[48,63],"models":[49,64,87],"based":[50],"on":[51],"data":[52,187],"have":[53],"been":[54,254],"widely":[55],"applied":[56],"in":[57,68,140,261,274,279,287,299,305,308,314,321],"precipitation.":[61],"Deep":[62],"exhibit":[65],"certain":[66],"limitations":[67],"approach:":[71],"evolutionary":[73],"method":[74,133],"prone":[76],"accumulate":[78],"errors":[79],"throughout":[80],"iterative":[82],"process":[83],"(where":[84,194],"multiple":[85],"autoregressive":[86,109],"generate":[88,135,244],"future":[89],"motion":[90],"fields":[91],"intensity":[93],"residuals":[94],"then":[96],"implicitly":[97],"iterate":[98],"yield":[100],"predictions),":[101],"\"regression":[104,226],"average\"":[106,228],"issue":[107],"model":[110,167],"leads":[111],"\"blurring\"":[114],"phenomenon.":[115],"evolution":[117,132,153],"method's":[118,154],"generator":[119,129,145,155],"a":[121,157,270],"two-stage":[122,192,232,241],"model:":[123],"In":[124],"initial":[126],"stage,":[127,143],"employs":[130],"provisional":[137,148,199,209],"forecasted":[138,149,186,200,210],"data;":[139],"subsequent":[142],"reprocesses":[146,207],"data.":[150,174,251],"Although":[151],"generative":[158],"adversarial":[159,162,233],"network,":[160],"strategy":[163,235],"adopted":[164,237],"this":[166,176],"ignores":[168],"significance":[170],"temporary":[172],"prediction":[173],"Therefore,":[175],"study":[177],"proposes":[178],"an":[179,295],"Adversarial":[180],"Autoregressive":[181],"Network":[182],"(AANet):":[183],"Firstly,":[184],"are":[188],"generated":[189,250],"via":[190],"generators":[193,242],"FURENet":[195],"directly":[196],"produces":[197],"Semantic":[204],"Synthesis":[205],"Model":[206],"data);":[211],"Subsequently,":[212],"structural":[213],"similarity":[214],"loss":[215],"(SSIM":[216],"loss)":[217],"utilized":[219],"mitigate":[221],"influence":[223],"issue;":[229],"Finally,":[230],"(Tadv)":[234],"assist":[239],"more":[245],"realistic":[246],"similar":[249],"It":[252],"has":[253],"experimentally":[255],"verified":[256],"that":[257],"AANet":[258],"outperforms":[259],"NowcastNet":[260],"next":[266],"1":[267],"h,":[268],"with":[269],"reduction":[271],"0.0763":[273],"normalized":[275],"error":[276,283],"(NE),":[277],"0.377":[278],"root":[280],"mean":[281],"square":[282],"(RMSE),":[284],"4.2%":[286],"false":[288],"alarm":[289],"rate":[290],"(FAR),":[291],"well":[293],"enhancement":[296],"1.45":[298],"peak":[300],"signal-to-noise":[301],"ratio":[302],"(PSNR),":[303],"0.0208":[304],"SSIM,":[306],"5.78%":[307],"critical":[309],"success":[310],"index":[311],"(CSI),":[312],"6.25%":[313],"probability":[315],"detection":[317],"(POD),":[318],"5.7%":[320],"F1.":[322]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
