{"id":"https://openalex.org/W3119940786","doi":"https://doi.org/10.1145/3429309.3429319","title":"Forecast opportunities for European summer climate ensemble predictions using Self-Organising Maps","display_name":"Forecast opportunities for European summer climate ensemble predictions using Self-Organising Maps","publication_year":2020,"publication_date":"2020-09-22","ids":{"openalex":"https://openalex.org/W3119940786","doi":"https://doi.org/10.1145/3429309.3429319","mag":"3119940786"},"language":"en","primary_location":{"id":"doi:10.1145/3429309.3429319","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3429309.3429319","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3429309.3429319","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Climate Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3429309.3429319","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031723937","display_name":"Julianna Carvalho Oliveira","orcid":"https://orcid.org/0000-0003-1222-0927"},"institutions":[{"id":"https://openalex.org/I4210163131","display_name":"Max Planck Institute for Meteorology","ror":"https://ror.org/05esem239","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210163131"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Julianna C. Oliveira","raw_affiliation_strings":["Helmholtz-Zentrum Geesthacht, Institute of Coastal Research Geesthacht, and International Max Planck Research School on Earth System Modelling, Max Planck Institute for Meteorology Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Helmholtz-Zentrum Geesthacht, Institute of Coastal Research Geesthacht, and International Max Planck Research School on Earth System Modelling, Max Planck Institute for Meteorology Hamburg, Germany","institution_ids":["https://openalex.org/I4210163131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026299709","display_name":"Eduardo Zorita","orcid":"https://orcid.org/0000-0002-7264-5743"},"institutions":[{"id":"https://openalex.org/I4210139239","display_name":"Helmholtz-Zentrum Hereon","ror":"https://ror.org/03qjp1d79","country_code":"DE","type":"government","lineage":["https://openalex.org/I1305996414","https://openalex.org/I4210139239"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eduardo Zorita","raw_affiliation_strings":["Helmholtz-Zentrum Geesthacht Institute of Coastal Research Geesthacht, Germany"],"affiliations":[{"raw_affiliation_string":"Helmholtz-Zentrum Geesthacht Institute of Coastal Research Geesthacht, Germany","institution_ids":["https://openalex.org/I4210139239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070733071","display_name":"Vimal Koul","orcid":"https://orcid.org/0000-0002-5623-5584"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vimal Koul","raw_affiliation_strings":["Helmholtz-Zentrum Geesthacht Institute of Coastal Research Geesthacht, and Institute for Oceanography Center for Earth System Research and Sustainability, Universit\u00e4t Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Helmholtz-Zentrum Geesthacht Institute of Coastal Research Geesthacht, and Institute for Oceanography Center for Earth System Research and Sustainability, Universit\u00e4t Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083991929","display_name":"Thomas Ludwig","orcid":"https://orcid.org/0000-0003-4020-6321"},"institutions":[{"id":"https://openalex.org/I2800289517","display_name":"German Climate Computing Centre","ror":"https://ror.org/03ztgj037","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800289517"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Ludwig","raw_affiliation_strings":["Deutsches Klimarechenzentrum Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Deutsches Klimarechenzentrum Hamburg, Germany","institution_ids":["https://openalex.org/I2800289517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012564111","display_name":"Johanna Baehr","orcid":"https://orcid.org/0000-0003-4696-8941"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johanna Baehr","raw_affiliation_strings":["Institute for Oceanography Center for Earth System Research and Sustainability, Universit\u00e4t Hamburg, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Oceanography Center for Earth System Research and Sustainability, Universit\u00e4t Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031723937"],"corresponding_institution_ids":["https://openalex.org/I4210163131"],"apc_list":null,"apc_paid":null,"fwci":0.6007,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70431004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"71"},"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":0.9994000196456909,"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/hindcast","display_name":"Hindcast","score":0.9293516874313354},{"id":"https://openalex.org/keywords/teleconnection","display_name":"Teleconnection","score":0.8606212139129639},{"id":"https://openalex.org/keywords/geopotential-height","display_name":"Geopotential height","score":0.793471097946167},{"id":"https://openalex.org/keywords/climatology","display_name":"Climatology","score":0.6880689859390259},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.6010516881942749},{"id":"https://openalex.org/keywords/forecast-skill","display_name":"Forecast skill","score":0.5141589641571045},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4854929745197296},{"id":"https://openalex.org/keywords/north-atlantic-oscillation","display_name":"North Atlantic oscillation","score":0.454792320728302},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4522753357887268},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44966283440589905},{"id":"https://openalex.org/keywords/geopotential","display_name":"Geopotential","score":0.44812294840812683},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.43409931659698486},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4178740680217743},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4126729965209961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32405388355255127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3206702768802643},{"id":"https://openalex.org/keywords/el-ni\u00f1o-southern-oscillation","display_name":"El Ni\u00f1o Southern Oscillation","score":0.25795817375183105},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20718103647232056},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11436811089515686}],"concepts":[{"id":"https://openalex.org/C83002819","wikidata":"https://www.wikidata.org/wiki/Q798528","display_name":"Hindcast","level":2,"score":0.9293516874313354},{"id":"https://openalex.org/C123576220","wikidata":"https://www.wikidata.org/wiki/Q3982797","display_name":"Teleconnection","level":3,"score":0.8606212139129639},{"id":"https://openalex.org/C192901106","wikidata":"https://www.wikidata.org/wiki/Q12432978","display_name":"Geopotential height","level":3,"score":0.793471097946167},{"id":"https://openalex.org/C49204034","wikidata":"https://www.wikidata.org/wiki/Q52139","display_name":"Climatology","level":1,"score":0.6880689859390259},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.6010516881942749},{"id":"https://openalex.org/C170061395","wikidata":"https://www.wikidata.org/wiki/Q5468164","display_name":"Forecast skill","level":2,"score":0.5141589641571045},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4854929745197296},{"id":"https://openalex.org/C17093552","wikidata":"https://www.wikidata.org/wiki/Q1137345","display_name":"North Atlantic oscillation","level":2,"score":0.454792320728302},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4522753357887268},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44966283440589905},{"id":"https://openalex.org/C160121416","wikidata":"https://www.wikidata.org/wiki/Q1423347","display_name":"Geopotential","level":2,"score":0.44812294840812683},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.43409931659698486},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4178740680217743},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4126729965209961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32405388355255127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3206702768802643},{"id":"https://openalex.org/C507956050","wikidata":"https://www.wikidata.org/wiki/Q14524818","display_name":"El Ni\u00f1o Southern Oscillation","level":2,"score":0.25795817375183105},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20718103647232056},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11436811089515686},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3429309.3429319","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3429309.3429319","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3429309.3429319","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Climate Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3429309.3429319","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3429309.3429319","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3429309.3429319","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Climate Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6000000238418579,"display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3119940786.pdf","grobid_xml":"https://content.openalex.org/works/W3119940786.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1544875105","https://openalex.org/W1547160199","https://openalex.org/W1718036133","https://openalex.org/W1725273891","https://openalex.org/W1971784203","https://openalex.org/W1991848143","https://openalex.org/W2024826754","https://openalex.org/W2028439515","https://openalex.org/W2055130292","https://openalex.org/W2079810998","https://openalex.org/W2102151016","https://openalex.org/W2118521300","https://openalex.org/W2154466159","https://openalex.org/W2163353983","https://openalex.org/W2170798929","https://openalex.org/W2394879936","https://openalex.org/W2794629718","https://openalex.org/W2884218502","https://openalex.org/W2916125934","https://openalex.org/W2988444525","https://openalex.org/W3023865141","https://openalex.org/W3036512766"],"related_works":["https://openalex.org/W952827669","https://openalex.org/W2032369005","https://openalex.org/W3122671010","https://openalex.org/W909063915","https://openalex.org/W2380909403","https://openalex.org/W3197543174","https://openalex.org/W1983301251","https://openalex.org/W4252353036","https://openalex.org/W2029200410","https://openalex.org/W2067123265"],"abstract_inverted_index":{"Current":[0],"state-of-the-art":[1],"dynamical":[2],"seasonal":[3],"ensemble":[4,26,67,117],"prediction":[5],"systems":[6],"(EPS)":[7],"still":[8],"show":[9],"limited":[10],"predictive":[11,131],"skill,":[12],"particularly":[13],"over":[14],"Europe":[15],"in":[16,54,94],"summer.":[17],"We":[18,105,128],"propose":[19],"a":[20,30,89],"neural":[21],"network-based":[22],"classification":[23,35,61],"of":[24,50,74,91,115],"individual":[25],"members":[27,68],"before":[28],"performing":[29],"hindcast":[31,116],"skill":[32,38],"analysis.":[33],"This":[34,60],"targets":[36],"high":[37],"cases":[39],"emerging":[40],"from":[41],"large-scale":[42],"atmospheric":[43],"regimes":[44],"associated":[45],"with":[46,109,112,119],"the":[47,55,72,75,123],"dominant":[48],"modes":[49],"summertime":[51],"low-frequency":[52],"variability":[53],"North":[56,77],"Atlantic-European":[57],"sector":[58],"(NAE).":[59],"allows":[62],"to":[63],"then":[64],"select":[65],"those":[66],"that":[69],"better":[70,130],"predict":[71],"phase":[73],"summer":[76],"Atlantic":[78,83],"Oscillation":[79],"(SNAO)":[80],"and":[81,142],"East":[82],"Pattern":[84],"(EAP).":[85],"Our":[86],"baseline":[87],"is":[88],"set":[90,114],"teleconnection":[92],"patterns":[93],"NAE":[95],"identified":[96],"by":[97,122],"Self-Organising":[98],"Maps":[99],"(SOM)":[100],"using":[101],"ERA-20C":[102],"reanalysis":[103],"data.":[104],"illustrate":[106],"our":[107],"methodology":[108],"an":[110],"example":[111],"one":[113],"simulations":[118],"30-members":[120],"generated":[121],"MPI":[124],"Earth":[125],"System":[126],"Model.":[127],"achieve":[129],"skills":[132],"at":[133,146],"3-4":[134],"months":[135],"lead":[136],"time":[137],"for":[138],"sea":[139],"level":[140],"pressure":[141],"geopotential":[143],"height":[144],"anomalies":[145],"500":[147],"hPa.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}