{"id":"https://openalex.org/W3008100352","doi":"https://doi.org/10.1109/bigdata47090.2019.9006433","title":"EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models","display_name":"EasyRain: A User-Friendly Platform for Comparing Precipitation Nowcasting Models","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008100352","doi":"https://doi.org/10.1109/bigdata47090.2019.9006433","mag":"3008100352"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103247963","display_name":"Ji Cheng","orcid":"https://orcid.org/0000-0003-3120-8966"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ji Cheng","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101909744","display_name":"Guimu Guo","orcid":"https://orcid.org/0000-0002-3573-7446"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guimu Guo","raw_affiliation_strings":["Department of Computer Science, The University of Alabama at Birmingham"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070582509","display_name":"Da Yan","orcid":"https://orcid.org/0000-0002-4653-0408"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da Yan","raw_affiliation_strings":["Department of Computer Science, The University of Alabama at Birmingham"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068510340","display_name":"Xiaotian Hao","orcid":"https://orcid.org/0000-0001-8758-494X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaotian Hao","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067034635","display_name":"Wilfred Ng","orcid":"https://orcid.org/0000-0001-6639-0521"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wilfred Ng","raw_affiliation_strings":["Department of Computer Science and Engineering, The Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6019","last_page":"6021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9997000098228455,"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":0.9976000189781189,"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":0.9965000152587891,"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":0.9875445365905762},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.7649891376495361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276506423950195},{"id":"https://openalex.org/keywords/user-friendly","display_name":"User Friendly","score":0.575776219367981},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4617457985877991},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.4358663558959961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40534529089927673},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.2609073519706726},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1338258981704712},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07740268111228943}],"concepts":[{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.9875445365905762},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.7649891376495361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276506423950195},{"id":"https://openalex.org/C61437842","wikidata":"https://www.wikidata.org/wiki/Q281291","display_name":"User Friendly","level":2,"score":0.575776219367981},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4617457985877991},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.4358663558959961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40534529089927673},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2609073519706726},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1338258981704712},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07740268111228943},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-101809","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-101809","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-101809","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000554828706029","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522734439","https://openalex.org/W1867429401","https://openalex.org/W2173031829","https://openalex.org/W2520707650","https://openalex.org/W2594928006","https://openalex.org/W2625614184","https://openalex.org/W2949099979","https://openalex.org/W2963866658","https://openalex.org/W6628877408","https://openalex.org/W6639126518","https://openalex.org/W6726983635","https://openalex.org/W6739112683"],"related_works":["https://openalex.org/W2098567841","https://openalex.org/W3124209601","https://openalex.org/W2238969010","https://openalex.org/W2189249776","https://openalex.org/W1526105959","https://openalex.org/W3193710367","https://openalex.org/W3122492506","https://openalex.org/W4388046081","https://openalex.org/W3008100352","https://openalex.org/W1478359961"],"abstract_inverted_index":{"Precipitation":[0],"nowcasting,":[1,83],"which":[2,51,84],"predicts":[3],"rainfall":[4],"intensity":[5],"in":[6],"the":[7,37,61,75,144],"near":[8],"future,":[9],"has":[10],"been":[11],"studied":[12],"by":[13,29],"meteorologists":[14],"for":[15,81,103,150],"decades.":[16],"Currently,":[17],"computer":[18],"vision":[19],"techniques,":[20],"especially":[21],"optical":[22,91,137],"flow":[23,92,138],"based":[24,93,139],"methods,":[25],"are":[26,98],"widely":[27],"adopted":[28],"observatories":[30],"since":[31],"they":[32],"deliver":[33],"reasonable":[34],"performance":[35,44,89],"without":[36,125],"need":[38],"of":[39,55,64,77,148],"model":[40,49],"training.":[41],"However,":[42,95],"their":[43],"is":[45],"highly":[46],"sensitive":[47],"to":[48,58,73,101,122,132],"parameters":[50],"require":[52],"a":[53,87,115,118],"lot":[54],"empirical":[56],"knowledge":[57,127],"optimize.":[59],"With":[60],"recent":[62],"success":[63],"deep":[65],"learning":[66,69],"(DL),":[67],"machine":[68],"researchers":[70],"have":[71,85],"started":[72],"explore":[74],"use":[76],"spatiotemporal":[78],"DL":[79,96,129,135],"models":[80,97],"precipitation":[82,155],"demonstrated":[86],"better":[88],"than":[90],"methods.":[94],"not":[99],"easy":[100],"conFigure":[102],"nonDL":[104],"experts":[105],"such":[106],"as":[107],"meteorologists.":[108],"In":[109],"this":[110],"poster,":[111],"we":[112],"introduce":[113],"EasyRain,":[114],"platform":[116],"with":[117],"user-friendly":[119],"web":[120],"interface":[121],"help":[123],"users":[124],"domain":[126],"(in":[128],"and/or":[130],"meteorology)":[131],"efficiently":[133],"build":[134],"and":[136,146,153],"models.":[140,157],"We":[141],"will":[142],"demonstrate":[143],"efficiency":[145],"usability":[147],"EasyRain":[149],"training,":[151],"tuning,":[152],"comparing":[154],"nowcasting":[156]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
