{"id":"https://openalex.org/W4387885600","doi":"https://doi.org/10.1109/tvcg.2023.3326514","title":"PROWIS: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime","display_name":"PROWIS: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime","publication_year":2023,"publication_date":"2023-10-23","ids":{"openalex":"https://openalex.org/W4387885600","doi":"https://doi.org/10.1109/tvcg.2023.3326514","pmid":"https://pubmed.ncbi.nlm.nih.gov/37871065"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2023.3326514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3326514","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5014675864","display_name":"Carolina Veiga","orcid":"https://orcid.org/0000-0002-6266-4836"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Carolina Veiga Ferreira de Souza","raw_affiliation_strings":["Universidade Federal Fluminense and the University of Illinois, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense and the University of Illinois, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022262779","display_name":"Suzanna Maria Bonnet","orcid":"https://orcid.org/0000-0002-3539-157X"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Suzanna Maria Bonnet","raw_affiliation_strings":["Universidade Federal do Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050455034","display_name":"Daniel de Oliveira","orcid":"https://orcid.org/0000-0001-9346-7651"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniel de Oliveira","raw_affiliation_strings":["Universidade Federal Fluminense, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008722474","display_name":"M\u00e1rcio Cataldi","orcid":"https://orcid.org/0000-0001-9769-0105"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcio Cataldi","raw_affiliation_strings":["Universidade Federal Fluminense, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083220583","display_name":"F\u00e1bio Miranda","orcid":"https://orcid.org/0000-0001-8612-5805"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fabio Miranda","raw_affiliation_strings":["University of Illinois Chicago, USA"],"raw_orcid":"https://orcid.org/0000-0001-8612-5805","affiliations":[{"raw_affiliation_string":"University of Illinois Chicago, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049830796","display_name":"Marcos Lage","orcid":"https://orcid.org/0000-0003-3868-8886"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos Lage","raw_affiliation_strings":["Universidade Federal Fluminense, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-3868-8886","affiliations":[{"raw_affiliation_string":"Universidade Federal Fluminense, Brazil","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014675864"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":1.1775,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81327817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"30","issue":"1","first_page":"738","last_page":"747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9399999976158142,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8090431690216064},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.6344725489616394},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.5994793772697449},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5232864022254944},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47614407539367676},{"id":"https://openalex.org/keywords/weather-prediction","display_name":"Weather prediction","score":0.45086437463760376},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.41103309392929077},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4050191342830658},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35996025800704956},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3394462466239929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2740020155906677},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.19319388270378113},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.19002950191497803},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09834828972816467}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8090431690216064},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.6344725489616394},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.5994793772697449},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5232864022254944},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47614407539367676},{"id":"https://openalex.org/C2987469573","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather prediction","level":2,"score":0.45086437463760376},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.41103309392929077},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4050191342830658},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35996025800704956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3394462466239929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2740020155906677},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.19319388270378113},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.19002950191497803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09834828972816467},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2023.3326514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3326514","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:37871065","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37871065","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":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5699999928474426,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4386404644","display_name":null,"funder_award_id":"316963/2021-6","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G5245457470","display_name":null,"funder_award_id":"E-26/211.134/2019","funder_id":"https://openalex.org/F4320322749","funder_display_name":"Funda\u00e7\u00e3o Carlos Chagas Filho de Amparo \u00e0 Pesquisa do Estado do Rio de Janeiro"},{"id":"https://openalex.org/G7777218758","display_name":null,"funder_award_id":"E-26/202.915/2019","funder_id":"https://openalex.org/F4320322749","funder_display_name":"Funda\u00e7\u00e3o Carlos Chagas Filho de Amparo \u00e0 Pesquisa do Estado do Rio de Janeiro"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322749","display_name":"Funda\u00e7\u00e3o Carlos Chagas Filho de Amparo \u00e0 Pesquisa do Estado do Rio de Janeiro","ror":"https://ror.org/03kk0s825"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W639144257","https://openalex.org/W1594608399","https://openalex.org/W1923055898","https://openalex.org/W1923700569","https://openalex.org/W1969153223","https://openalex.org/W1985228687","https://openalex.org/W2005089486","https://openalex.org/W2036518930","https://openalex.org/W2110487094","https://openalex.org/W2121690346","https://openalex.org/W2141653286","https://openalex.org/W2145154883","https://openalex.org/W2152984210","https://openalex.org/W2156204145","https://openalex.org/W2470432365","https://openalex.org/W2516587692","https://openalex.org/W2518571988","https://openalex.org/W2771576151","https://openalex.org/W2854669374","https://openalex.org/W2888018391","https://openalex.org/W2889331954","https://openalex.org/W2944898646","https://openalex.org/W2962968007","https://openalex.org/W4210663852","https://openalex.org/W4231158896","https://openalex.org/W4309949341","https://openalex.org/W4310831427"],"related_works":["https://openalex.org/W1563787591","https://openalex.org/W2321020009","https://openalex.org/W3021464272","https://openalex.org/W3081577063","https://openalex.org/W4385699815","https://openalex.org/W2787716671","https://openalex.org/W4320929292","https://openalex.org/W948991213","https://openalex.org/W2921756899","https://openalex.org/W2020612098"],"abstract_inverted_index":{"Weather":[0],"forecasting":[1],"is":[2,7,52],"essential":[3],"for":[4,32],"decision-making":[5],"and":[6,25,28,41,66,85,120,129,149,161],"usually":[8],"performed":[9],"using":[10],"numerical":[11],"modeling.":[12],"Numerical":[13],"weather":[14,33,36,80,125,150,159],"models,":[15],"in":[16,107,155,174],"turn,":[17],"are":[18,29,38],"complex":[19],"tools":[20],"that":[21],"require":[22],"specialized":[23],"training":[24],"laborious":[26],"setup":[27,72],"challenging":[30],"even":[31],"experts.":[34],"Moreover,":[35],"simulations":[37,81],"data-intensive":[39],"computations":[40],"may":[42],"take":[43],"hours":[44],"to":[45,47,73,123,141],"days":[46],"complete.":[48],"When":[49],"the":[50,54,70,74,91,96,143],"simulation":[51,71,131],"finished,":[53],"experts":[55,97,126],"face":[56],"challenges":[57],"analyzing":[58],"its":[59,164],"outputs,":[60],"a":[61,104,138],"large":[62],"mass":[63],"of":[64,76,90,102,145,171],"spatiotemporal":[65],"multivariate":[67],"data.":[68],"From":[69],"analysis":[75],"results,":[77],"working":[78],"with":[79,100,158],"involves":[82],"several":[83],"manual":[84],"error-prone":[86],"steps.":[87],"The":[88],"complexity":[89],"problem":[92],"increases":[93],"exponentially":[94],"when":[95],"must":[98],"deal":[99],"ensembles":[101,132],"simulations,":[103],"frequent":[105],"task":[106],"their":[108],"daily":[109],"duties.":[110],"To":[111],"tackle":[112],"these":[113],"challenges,":[114],"we":[115,162],"propose":[116],"ProWis:":[117],"an":[118],"interactive":[119],"provenance-oriented":[121],"system":[122,136],"help":[124],"build,":[127],"manage,":[128],"analyze":[130],"at":[133],"runtime.":[134],"Our":[135],"follows":[137],"human-in-the-loop":[139],"approach":[140],"enable":[142],"exploration":[144],"multiple":[146],"atmospheric":[147],"variables":[148],"scenarios.":[151],"ProWis":[152],"was":[153],"built":[154],"close":[156],"collaboration":[157],"experts,":[160],"demonstrate":[163],"effectiveness":[165],"by":[166],"presenting":[167],"two":[168],"case":[169],"studies":[170],"rainfall":[172],"events":[173],"Brazil.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
