Post-Processing of NWP Precipitation Forecasts using Deep Learning

DC ElementWertSprache
dc.contributor.authorRojas-Campos, Adrian
dc.contributor.authorWittenbrink, Martin
dc.contributor.authorNieters, Pascal
dc.contributor.authorSchaffernicht, Erik J
dc.contributor.authorKeller, Jan D
dc.contributor.authorPipa, Gordon
dc.date.accessioned2023-02-22T08:20:30Z-
dc.date.available2023-02-22T08:20:30Z-
dc.date.issued2023
dc.identifier.issn0882-8156
dc.identifier.urihttp://osnascholar.ub.uni-osnabrueck.de/handle/unios/69694-
dc.publisherAmerican Meteorological Society
dc.relation.ispartofWeather and Forecasting
dc.subjectComputer science
dc.subjectGeography
dc.subjectPrecipitation
dc.subjectEnvironmental science
dc.subjectMachine learning
dc.subjectProbabilistic logic
dc.subjectProbabilistic forecasting
dc.subjectArtificial neural network
dc.subjectQuantitative precipitation forecast
dc.subjectArtificial intelligence
dc.subjectMeteorology
dc.titlePost-Processing of NWP Precipitation Forecasts using Deep Learning
dc.typejournal article
dc.identifier.doihttps://doi.org/10.1175/waf-d-21-0207.1
dc.identifier.externalhttps://openalex.org/W4319079426
local.import.sourcefileopenalex_20230217.ris
local.rawaffiliationRojas-Campos, Adrian~;Wittenbrink, Martin~;Nieters, Pascal~;Schaffernicht, Erik J~;Keller, Jan D~;Pipa, Gordon~
crisitem.author.deptFB 08 - Humanwissenschaften-
crisitem.author.deptInstitut für Kognitionswissenschaft-
crisitem.author.deptidfb08-
crisitem.author.deptidinstitute28-
crisitem.author.orcid0000-0003-0538-6670-
crisitem.author.orcid0000-0002-3416-2652-
crisitem.author.parentorgUniversität Osnabrück-
crisitem.author.parentorgFB 08 - Humanwissenschaften-
crisitem.author.grandparentorgUniversität Osnabrück-
crisitem.author.netidNiPa693-
crisitem.author.netidPiGo340-
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