Representing chemical history in ozone time-series predictions - a model experiment study building on the MLAir (v1.5) deep learning framework: Data 4/4

DOI

This record contains a part (4/4) of the data used for the manuscript "Representing chemical history in ozone time-series predictions - a model experiment study building on the MLAir (v1.5) deep learning framework" by F. Kleinert, L. H. Leufen, A. Lupascu, T. Butler and M. G. Schultz.

Please refer to https://doi.org/10.34730/19c94b0b77374395b11cb54991cc497d for an overview of all records related to this manuscript.

Identifier
DOI https://doi.org/10.34730/718262bd2c894fd6aadce19a08040f69
Source https://b2share.fz-juelich.de/records/718262bd2c894fd6aadce19a08040f69
Metadata Access https://b2share.fz-juelich.de/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:b2share.fz-juelich.de:b2rec/718262bd2c894fd6aadce19a08040f69
Provenance
Creator Kleinert, Felix; Leufen, Lukas Hubert; Lupascu, Aurelia; Butler, Tim; Schultz, Martin G.
Publisher EUDAT B2SHARE
Publication Year 2022
Rights The MIT License (MIT); info:eu-repo/semantics/openAccess
OpenAccess true
Representation
Format nc
Size 13.2 GB; 6 files
Discipline Other