Forecasting near-surface ozone using temporally decomposed input variables and deep neural networks

DOI

Poster "Forecasting near-surface ozone using temporally decomposed input variables and deep neural networks" and preprint "O3ResNet: A deep learning based forecast system to predict local ground-level daily maximum 8-hour average ozone"

Identifier
DOI https://doi.org/10.34730/276fe4d3d8e74f61b142165dc6ffe72f
Source https://b2share.fz-juelich.de/records/276fe4d3d8e74f61b142165dc6ffe72f
Metadata Access https://b2share.fz-juelich.de/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.fz-juelich.de:b2rec/276fe4d3d8e74f61b142165dc6ffe72f
Provenance
Creator Leufen, Lukas Hubert
Publisher EUDAT B2SHARE
Publication Year 2022
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact l.leufen(at)fz-juelich.de
Representation
Format pdf
Size 5.6 MB; 2 files
Discipline Other