{"id":"https://openalex.org/W2799900616","doi":"https://doi.org/10.1109/access.2018.2835440","title":"A New Shape Matching-Based Verification Approach for QPFs","display_name":"A New Shape Matching-Based Verification Approach for QPFs","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2799900616","doi":"https://doi.org/10.1109/access.2018.2835440","mag":"2799900616"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2835440","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2835440","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2835440","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100437922","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0001-5727-385X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Chen","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361922","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-7280-1443"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, Beijing, CN"],"raw_orcid":"https://orcid.org/0000-0002-7280-1443","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665835","display_name":"Jinsong Chen","orcid":"https://orcid.org/0000-0002-9922-5896"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Chen","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0404264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"29013","last_page":"29025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","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/T11234","display_name":"Precipitation Measurement and Analysis","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/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":0.9966999888420105,"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/jaccard-index","display_name":"Jaccard index","score":0.811253547668457},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5971894860267639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5503671169281006},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.549996554851532},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35280102491378784},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33811211585998535},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3326012194156647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32253599166870117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2920975089073181},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.273476243019104},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09524163603782654},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08437448740005493}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.811253547668457},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5971894860267639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5503671169281006},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.549996554851532},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35280102491378784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33811211585998535},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3326012194156647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32253599166870117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2920975089073181},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.273476243019104},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09524163603782654},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08437448740005493}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2835440","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2835440","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3f795262f4a94affae094f7542f9f5a9","is_oa":true,"landing_page_url":"https://doaj.org/article/3f795262f4a94affae094f7542f9f5a9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 29013-29025 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2835440","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2835440","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G5006247638","display_name":null,"funder_award_id":"2017YFB0504203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7409655350","display_name":"\u9ad8\u6027\u80fd\u6570\u5b57\u5730\u5f62\u5206\u6790\u4e0e\u6ed1\u5761\u654f\u611f\u6027\u7814\u7a76","funder_award_id":"41471340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7590463880","display_name":null,"funder_award_id":"2017A050501027","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W144758377","https://openalex.org/W1212289281","https://openalex.org/W1638503852","https://openalex.org/W1679400612","https://openalex.org/W1766891869","https://openalex.org/W1974911657","https://openalex.org/W1975235878","https://openalex.org/W1977377129","https://openalex.org/W1981258030","https://openalex.org/W1997594301","https://openalex.org/W1999787201","https://openalex.org/W2037878683","https://openalex.org/W2047364513","https://openalex.org/W2055234043","https://openalex.org/W2069225437","https://openalex.org/W2078690500","https://openalex.org/W2085784304","https://openalex.org/W2086320398","https://openalex.org/W2086957889","https://openalex.org/W2092981979","https://openalex.org/W2101864963","https://openalex.org/W2105591991","https://openalex.org/W2113700178","https://openalex.org/W2123257344","https://openalex.org/W2124476392","https://openalex.org/W2137377935","https://openalex.org/W2140436971","https://openalex.org/W2145710352","https://openalex.org/W2147169375","https://openalex.org/W2149649505","https://openalex.org/W2150997106","https://openalex.org/W2157494358","https://openalex.org/W2162005046","https://openalex.org/W2169694344","https://openalex.org/W2174913527","https://openalex.org/W2312082841","https://openalex.org/W2338822445","https://openalex.org/W2360700524","https://openalex.org/W2365661465","https://openalex.org/W2469618837","https://openalex.org/W2484117489","https://openalex.org/W2505672291","https://openalex.org/W2520866340","https://openalex.org/W2538403209","https://openalex.org/W2556729924","https://openalex.org/W2591644281","https://openalex.org/W2597701753","https://openalex.org/W2610603329","https://openalex.org/W2755386739","https://openalex.org/W2804731325","https://openalex.org/W3123027828","https://openalex.org/W4242800229","https://openalex.org/W6636690284","https://openalex.org/W6720065314","https://openalex.org/W6722086584","https://openalex.org/W6751780926"],"related_works":["https://openalex.org/W4396220545","https://openalex.org/W1994775821","https://openalex.org/W2012019886","https://openalex.org/W2091133150","https://openalex.org/W2331322489","https://openalex.org/W2945869148","https://openalex.org/W2611195251","https://openalex.org/W2398781203","https://openalex.org/W2009279505","https://openalex.org/W4206503171"],"abstract_inverted_index":{"In":[0],"this":[1,213,234],"paper,":[2],"a":[3,81,174],"novel":[4],"systematic":[5],"method":[6,26,67,219],"on":[7],"the":[8,17,30,46,58,71,77,89,93,101,106,109,112,115,123,129,137,143,152,158,184,203,217],"evaluation":[9],"of":[10,19,34,48,60,80,92,108,114,139,168,189,205,212],"quantitative":[11],"precipitation":[12,61],"forecast":[13],"(QPF)":[14],"errors":[15,191,194],"from":[16,177,233],"perspective":[18],"rain-area":[20,52,83,95,117,130,144,159],"shape":[21,53,72,107,113,131,145,160,196],"verification":[22,73,170],"is":[23,171],"proposed.":[24],"The":[25,66,187,209],"aims":[27],"to":[28,45,56,173,180,223],"improve":[29],"accuracy":[31],"and":[32,51,54,64,69,151,195,227],"efficiency":[33],"conventional":[35],"station-based":[36,193],"verifications":[37],"(i.e.,":[38],"standard":[39],"skill":[40],"scores),":[41],"which":[42,75],"are":[43],"insensitive":[44],"biases":[47],"station":[49],"location":[50],"tend":[55],"ignore":[57],"continuity":[59],"in":[62,183],"time":[63],"space.":[65],"develops":[68],"combines":[70],"indexes,":[74],"include":[76],"overlap":[78,90],"ratio":[79,91,155],"forecasted":[82],"(Ratio":[84,96],"<sub":[85,97,119,133,147,162],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[86,98,120,134,148,163],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><i>f</i></sub>":[87],"),":[88,100,122,136,150],"ground":[94,116],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><i>t</i></sub>":[99],"Jaccard":[102],"similarity":[103],"coefficient":[104],"between":[105],"QPF":[110,169,190],"area,":[111],"(Jaccard":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">shape</sub>":[121,135,149,164],"critical":[124],"success":[125],"index":[126],"(CSI)":[127],"for":[128,142,157],"(CSI":[132],"probability":[138],"detection":[140],"(POD)":[141],"(POD":[146],"false":[153],"alarm":[154],"(FAR)":[156],"(FAR":[161],").":[165],"This":[166],"definition":[167],"applied":[172],"rain":[175],"event":[176],"2016/08/02":[178,181],"00:30":[179],"03:24":[182],"Guangdong":[185],"Province.":[186],"decomposition":[188],"into":[192,202],"error":[197],"components":[198],"provides":[199,220],"powerful":[200],"insight":[201],"effects":[204],"overall":[206],"forecasting":[207,231],"performance.":[208],"experimental":[210],"results":[211],"investigation":[214],"show":[215],"that":[216],"proposed":[218],"an":[221],"opportunity":[222],"assess":[224],"QPFs":[225],"objectively":[226],"further":[228],"promote":[229],"advanced":[230],"technologies":[232],"perspective.":[235]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
