{"id":"https://openalex.org/W7167731806","doi":"https://doi.org/10.48550/arxiv.2607.05655","title":"GeoXplain: On-the-Fly Visual Explanations for Weather Foundation Models","display_name":"GeoXplain: On-the-Fly Visual Explanations for Weather Foundation Models","publication_year":2026,"publication_date":"2026-07-06","ids":{"openalex":"https://openalex.org/W7167731806","doi":"https://doi.org/10.48550/arxiv.2607.05655"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.05655","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.05655","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.05655","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140249235","display_name":"Clemens Walter Koprolin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koprolin, Clemens Walter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129020587","display_name":"Leonardo Trentini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trentini, Leonardo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135248872","display_name":"Benedikt Soja","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soja, Benedikt","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140240685","display_name":"Mennatallah El-Assady","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"El-Assady, Mennatallah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140228520","display_name":"Christina Humer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Humer, Christina","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.34709998965263367,"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"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.34709998965263367,"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/T10799","display_name":"Data Visualization and Analytics","score":0.2451999932527542,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.09549999982118607,"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/python","display_name":"Python (programming language)","score":0.8037999868392944},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6972000002861023},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6000000238418579},{"id":"https://openalex.org/keywords/scientific-visualization","display_name":"Scientific visualization","score":0.550599992275238},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.4832000136375427},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.421099990606308},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.41499999165534973},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.3490000069141388},{"id":"https://openalex.org/keywords/globe","display_name":"Globe","score":0.34139999747276306}],"concepts":[{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.8037999868392944},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6972000002861023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869999766349792},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6000000238418579},{"id":"https://openalex.org/C59740354","wikidata":"https://www.wikidata.org/wiki/Q2737866","display_name":"Scientific visualization","level":3,"score":0.550599992275238},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.4832000136375427},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.41499999165534973},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C2775899829","wikidata":"https://www.wikidata.org/wiki/Q3109007","display_name":"Globe","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3382999897003174},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C11090531","wikidata":"https://www.wikidata.org/wiki/Q1361922","display_name":"NetCDF","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C12380541","wikidata":"https://www.wikidata.org/wiki/Q58300","display_name":"Geovisualization","level":4,"score":0.3248000144958496},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.3109000027179718},{"id":"https://openalex.org/C75145180","wikidata":"https://www.wikidata.org/wiki/Q772007","display_name":"Georeference","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.288100004196167},{"id":"https://openalex.org/C141505278","wikidata":"https://www.wikidata.org/wiki/Q209363","display_name":"Weather satellite","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.2671999931335449},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.26570001244544983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.05655","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.05655","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.05655","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.05655","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.88157719373703}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Weather":[0],"and":[1,37,52,63,72,85,140,144,165],"climate":[2,32],"foundation":[3,103],"models":[4],"produce":[5],"high-dimensional":[6],"forecasts":[7],"whose":[8],"learned":[9],"relationships":[10],"are":[11],"difficult":[12],"to":[13],"inspect":[14],"with":[15,49,61,157],"static":[16],"plots":[17],"alone.":[18],"GeoXplain":[19,78,88,149],"is":[20,163],"an":[21],"interactive":[22],"Python-based":[23],"visualization":[24,83],"toolkit":[25,41,84],"for":[26,100,127],"exploring":[27],"geospatial":[28],"attribution":[29,43,46],"maps":[30],"across":[31],"variables,":[33],"atmospheric":[34],"pressure":[35],"levels,":[36],"forecast":[38],"time.":[39],"The":[40,96,161],"accepts":[42],"bundles":[44],"containing":[45],"grids":[47],"together":[48],"corresponding":[50],"metadata":[51],"renders":[53],"them":[54],"in":[55,106],"a":[56,80,107,112,117,154],"notebook":[57],"widget":[58],"or":[59,115],"browser":[60],"map":[62],"globe":[64],"modes,":[65],"linked":[66],"timelines,":[67],"pressure-level":[68],"controls,":[69],"target":[70],"annotations,":[71],"optional":[73],"physical-field":[74],"overlays.":[75,148],"We":[76],"frame":[77],"as":[79,91,153],"model-agnostic":[81],"earth-system":[82],"present":[86],"the":[87,101,122],"Aurora":[89,102],"Adapter":[90],"its":[92],"first":[93],"computation":[94],"backend.":[95],"adapter":[97],"computes":[98],"explanations":[99],"model,":[104],"either":[105],"local":[108],"GPU":[109,113],"process,":[110],"through":[111,116],"listener,":[114,119],"SLURM-backed":[118],"while":[120],"preserving":[121],"same":[123],"Python":[124],"call":[125],"site":[126],"analysts.":[128],"It":[129],"currently":[130],"supports":[131],"gradient":[132],"saliency,":[133],"Integrated":[134,141],"Gradients,":[135],"RISE,":[136],"ViT-CX,":[137],"multi-frame":[138],"saliency":[139],"Gradients":[142],"rollouts,":[143],"retrieval":[145],"of":[146],"ERA5":[147],"can":[150],"be":[151],"installed":[152],"PyPI":[155],"package":[156],"pip":[158],"install":[159],"geoxplain.":[160],"code":[162],"open-source":[164],"available":[166],"at":[167],"https://github.com/clemenskoprolin/geoxplain.":[168]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-09T00:00:00"}
