Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks

Details

Ressource 1Request a copy Under indefinite embargo.
UNIL restricted access
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_5DFA6967F996
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks
Journal
Environmental Data Science
Author(s)
Marcolongo Aris, Vladymyrov Mykhailo, Lienert Sebastian, Peleg Nadav, Haug Sigve, Zscheischler Jakob
ISSN
2634-4602
Publication state
Published
Issued date
2022
Peer-reviewed
Oui
Volume
1
Language
english
Open Access
Yes
Funding(s)
Swiss National Science Foundation / 179876
Swiss National Science Foundation / 189908
Create date
15/04/2022 8:40
Last modification date
21/07/2022 6:36
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