{"id":"https://openalex.org/W7163179382","doi":"https://doi.org/10.2312/envir.20261003","title":"Comparison of Categorical Data from Meteorological Models and Observations using a Pattern-Based Approach","display_name":"Comparison of Categorical Data from Meteorological Models and Observations using a Pattern-Based Approach","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7163179382","doi":"https://doi.org/10.2312/envir.20261003"},"language":null,"primary_location":{"id":"doi:10.2312/envir.20261003","is_oa":true,"landing_page_url":"https://doi.org/10.2312/envir.20261003","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/envir.20261003","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075366023","display_name":"Savyasachi Pandey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pandey, Savyasachi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068366580","display_name":"Max Sondag","orcid":"https://orcid.org/0000-0003-3309-638X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sondag, Max","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137624690","display_name":"Christian Krauter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krauter, Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065331110","display_name":"Stefan Zellmann","orcid":"https://orcid.org/0000-0003-2880-9090"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zellmann, Stefan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137703154","display_name":"Tatiana von Landesberger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"von Landesberger, Tatiana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69693394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9937999844551086,"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":0.9937999844551086,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.00039999998989515007,"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/categorical-variable","display_name":"Categorical variable","score":0.8733999729156494},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4837999939918518},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4115999937057495},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.398499995470047},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.3813000023365021},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3336000144481659}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8733999729156494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133999824523926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5565999746322632},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4837999939918518},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4115999937057495},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.398499995470047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39480000734329224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39149999618530273},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.262800008058548}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/envir.20261003","is_oa":true,"landing_page_url":"https://doi.org/10.2312/envir.20261003","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.2312/envir.20261003","is_oa":true,"landing_page_url":"https://doi.org/10.2312/envir.20261003","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"score":0.5035580992698669,"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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,86,90],"pattern-based":[4],"approach":[5,103],"for":[6,111],"comparing":[7],"large":[8],"categorical":[9,112],"gridded":[10],"data.":[11,24,113],"Our":[12],"goal":[13],"is":[14],"to":[15,49,66],"compare":[16],"meteorological":[17],"models":[18],"and":[19,33,35,44,61,75],"observations":[20],"given":[21],"as":[22],"time-height":[23],"The":[25],"data":[26],"come":[27],"with":[28,41,72,77,89],"constraints,":[29],"including":[30],"heavy":[31],"noise":[32],"model":[34],"observation":[36],"uncertainties.":[37],"We":[38,53,83],"define":[39],"requirements":[40],"domain":[42],"experts":[43],"propose":[45,62],"design":[46,56],"criteria":[47],"tailored":[48],"the":[50,55,68,80,101,106],"application":[51],"domain.":[52],"explore":[54],"space":[57],"of":[58,70,79,93,108],"feasible":[59],"patterns":[60,64],"three":[63],"designed":[65],"resolve":[67],"drawbacks":[69],"juxtaposition":[71],"estimating":[73],"(dis)agreement":[74],"superposition":[76],"disambiguation":[78],"comparison":[81],"source.":[82],"also":[84],"conduct":[85],"crowdsourced":[87],"experiment":[88],"small":[91],"group":[92],"non-expert":[94],"users,":[95],"providing":[96],"initial":[97],"insights":[98],"into":[99],"how":[100],"proposed":[102],"might":[104],"advance":[105],"field":[107],"comparative":[109],"visualizations":[110]},"counts_by_year":[],"updated_date":"2026-06-03T06:26:03.838407","created_date":"2026-06-03T00:00:00"}
