{"id":"https://openalex.org/W4307412617","doi":"https://doi.org/10.1007/s10618-022-00877-6","title":"ConvMOS: climate model output statistics with deep learning","display_name":"ConvMOS: climate model output statistics with deep learning","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4307412617","doi":"https://doi.org/10.1007/s10618-022-00877-6"},"language":"en","primary_location":{"id":"doi:10.1007/s10618-022-00877-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-022-00877-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-022-00877-6.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10618-022-00877-6.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087863012","display_name":"Michael Steininger","orcid":"https://orcid.org/0000-0002-3102-481X"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Michael Steininger","raw_affiliation_strings":["Chair of Computer Science X (Data Science), University of W\u00fcrzburg, W\u00fcrzburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3102-481X","affiliations":[{"raw_affiliation_string":"Chair of Computer Science X (Data Science), University of W\u00fcrzburg, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055776907","display_name":"Daniel Abel","orcid":"https://orcid.org/0000-0001-9663-3248"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Abel","raw_affiliation_strings":["Chair of Physical Geography, University of W\u00fcrzburg, W\u00fcrzburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Physical Geography, University of W\u00fcrzburg, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012232999","display_name":"Katrin Ziegler","orcid":"https://orcid.org/0000-0002-9152-3135"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Katrin Ziegler","raw_affiliation_strings":["Chair of Physical Geography, University of W\u00fcrzburg, W\u00fcrzburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Physical Geography, University of W\u00fcrzburg, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015079780","display_name":"Anna Krause","orcid":"https://orcid.org/0000-0003-1924-9183"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anna Krause","raw_affiliation_strings":["Chair of Computer Science X (Data Science), University of W\u00fcrzburg, W\u00fcrzburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Computer Science X (Data Science), University of W\u00fcrzburg, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000815484","display_name":"Heiko Paeth","orcid":"https://orcid.org/0000-0001-8145-4706"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiko Paeth","raw_affiliation_strings":["Chair of Physical Geography, University of W\u00fcrzburg, W\u00fcrzburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Physical Geography, University of W\u00fcrzburg, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054225034","display_name":"Andreas Hotho","orcid":"https://orcid.org/0000-0002-0483-5772"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Hotho","raw_affiliation_strings":["Chair of Computer Science X (Data Science), University of W\u00fcrzburg, W\u00fcrzburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Computer Science X (Data Science), University of W\u00fcrzburg, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087863012"],"corresponding_institution_ids":["https://openalex.org/I25974101"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.9066,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72587199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"37","issue":"1","first_page":"136","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9995999932289124,"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/T10029","display_name":"Climate variability and models","score":0.9995999932289124,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9984999895095825,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/climate-model","display_name":"Climate model","score":0.7043769955635071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6174249649047852},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6026995778083801},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.526066243648529},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49800872802734375},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.4204901456832886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41099244356155396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3580586314201355},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.35378092527389526},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.23768392205238342},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16083979606628418},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.08506956696510315}],"concepts":[{"id":"https://openalex.org/C168754636","wikidata":"https://www.wikidata.org/wiki/Q620920","display_name":"Climate model","level":3,"score":0.7043769955635071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6174249649047852},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6026995778083801},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.526066243648529},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49800872802734375},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.4204901456832886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41099244356155396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3580586314201355},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.35378092527389526},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.23768392205238342},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16083979606628418},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.08506956696510315},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10618-022-00877-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-022-00877-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-022-00877-6.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},{"id":"pmh:oai:opus.bibliothek.uni-wuerzburg.de:32421","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-324213","pdf_url":"https://opus.bibliothek.uni-wuerzburg.de/files/32421/s10618-022-00877-6.pdf","source":{"id":"https://openalex.org/S4306401635","display_name":"Online Publication Service of W\u00fcrzburg University (W\u00fcrzburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I25974101","host_organization_name":"University of W\u00fcrzburg","host_organization_lineage":["https://openalex.org/I25974101"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10618-022-00877-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10618-022-00877-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10618-022-00877-6.pdf","source":{"id":"https://openalex.org/S121920818","display_name":"Data Mining and Knowledge Discovery","issn_l":"1384-5810","issn":["1384-5810","1573-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Mining and Knowledge Discovery","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307412617.pdf","grobid_xml":"https://content.openalex.org/works/W4307412617.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1965731662","https://openalex.org/W1973584596","https://openalex.org/W1980054394","https://openalex.org/W2019176983","https://openalex.org/W2025175586","https://openalex.org/W2029448356","https://openalex.org/W2064675550","https://openalex.org/W2072515976","https://openalex.org/W2110349751","https://openalex.org/W2112796928","https://openalex.org/W2114367267","https://openalex.org/W2121745948","https://openalex.org/W2138680286","https://openalex.org/W2162485790","https://openalex.org/W2170816806","https://openalex.org/W2522643454","https://openalex.org/W2613687907","https://openalex.org/W2742361357","https://openalex.org/W2807236430","https://openalex.org/W2887293259","https://openalex.org/W2897201396","https://openalex.org/W2909406056","https://openalex.org/W2914965496","https://openalex.org/W2957121969","https://openalex.org/W2963150697","https://openalex.org/W2972324561","https://openalex.org/W2974527409","https://openalex.org/W3011056387","https://openalex.org/W3025325835","https://openalex.org/W3047167406","https://openalex.org/W3080928180","https://openalex.org/W3083959162","https://openalex.org/W3102100346","https://openalex.org/W3103794298","https://openalex.org/W3112158685","https://openalex.org/W3130387082","https://openalex.org/W3164731060","https://openalex.org/W3166740502","https://openalex.org/W3180281962","https://openalex.org/W4210916416","https://openalex.org/W4252684946","https://openalex.org/W6603054696","https://openalex.org/W6816915078","https://openalex.org/W6968497054"],"related_works":["https://openalex.org/W4220729547","https://openalex.org/W2795599002","https://openalex.org/W2597415641","https://openalex.org/W2008784356","https://openalex.org/W3094938484","https://openalex.org/W2005225924","https://openalex.org/W2334415060","https://openalex.org/W1970334417","https://openalex.org/W4327930930","https://openalex.org/W2371597693"],"abstract_inverted_index":{"Abstract":[0],"Climate":[1],"models":[2,15,93,134,154,164,177],"are":[3,78],"the":[4,38,54,65,74,84,95,99,166,184],"tool":[5],"of":[6,56,87,98,108,168,198],"choice":[7],"for":[8,112,120,127],"scientists":[9],"researching":[10],"climate":[11,60,88,101,192],"change.":[12],"Like":[13],"all":[14],"they":[16],"suffer":[17],"from":[18],"errors,":[19],"particularly":[20],"systematic":[21,79,122],"and":[22,63,80,116,139,149,152],"location-specific":[23,81,114],"representation":[24],"errors.":[25],"One":[26],"way":[27],"to":[28,43,94],"reduce":[29,136],"these":[30],"errors":[31,82,115,123,137],"is":[32,41,69,124],"model":[33,39,102,110,118],"output":[34,40],"statistics":[35],"(MOS)":[36],"where":[37],"fitted":[42],"observational":[44],"data":[45],"with":[46,183,207],"machine":[47],"learning.":[48],"In":[49],"this":[50],"work,":[51],"we":[52,173,190,194],"assess":[53],"use":[55],"convolutional":[57],"Deep":[58],"Learning":[59],"MOS":[61,128,147,163],"approaches":[62,148],"present":[64],"ConvMOS":[66,92,133,199],"architecture":[67],"which":[68,172],"specifically":[70],"designed":[71],"based":[72],"on":[73],"observation":[75],"that":[76,105,132,161,196],"there":[77],"in":[83,155,204],"precipitation":[85,97,170,181],"estimates":[86],"models.":[89],"We":[90,130],"apply":[91],"simulated":[96],"regional":[100],"REMO,":[103],"showing":[104],"a":[106],"combination":[107],"per-location":[109],"parameters":[111,119],"reducing":[113,121],"global":[117],"indeed":[125],"beneficial":[126,203],"performance.":[129],"find":[131],"can":[135],"considerably":[138],"perform":[140],"significantly":[141],"better":[142],"than":[143],"three":[144],"commonly":[145],"used":[146],"plain":[150],"ResNet":[151],"U-Net":[153],"most":[156],"cases.":[157],"Our":[158],"results":[159],"show":[160],"non-linear":[162],"underestimate":[165],"number":[167],"extreme":[169,180],"events,":[171],"alleviate":[174],"by":[175],"training":[176],"specialized":[178],"towards":[179],"events":[182],"imbalanced":[185],"regression":[186],"method":[187],"DenseLoss.":[188],"While":[189],"consider":[191],"MOS,":[193],"argue":[195],"aspects":[197],"may":[200],"also":[201],"be":[202],"other":[205],"domains":[206],"geospatial":[208],"data,":[209],"such":[210],"as":[211],"air":[212],"pollution":[213],"modeling":[214],"or":[215],"weather":[216],"forecasts.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}