Eyring, Veronika (2021) Machine learning physics-aware climate modelling. Invited Panel member “The Future of Climate Modelling”, 2021-11-03, Glasgow (remote).
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Abstract
Machine learning physics-aware climate modelling, Invited Panel member "The Future of Climate Modelling", COP26, Glasgow
Item URL in elib: | https://elib.dlr.de/146182/ | ||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||
Title: | Machine learning physics-aware climate modelling | ||||||||
Authors: |
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Date: | 2021 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | No | ||||||||
Gold Open Access: | No | ||||||||
In SCOPUS: | No | ||||||||
In ISI Web of Science: | No | ||||||||
Status: | Published | ||||||||
Keywords: | Machine learning, climate modelling | ||||||||
Event Title: | Invited Panel member “The Future of Climate Modelling” | ||||||||
Event Location: | Glasgow (remote) | ||||||||
Event Type: | international Conference | ||||||||
Event Date: | 3 November 2021 | ||||||||
Organizer: | COP26 | ||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||
HGF - Program: | Space | ||||||||
HGF - Program Themes: | Earth Observation | ||||||||
DLR - Research area: | Raumfahrt | ||||||||
DLR - Program: | R EO - Earth Observation | ||||||||
DLR - Research theme (Project): | R - Atmospheric and climate research | ||||||||
Location: | Oberpfaffenhofen | ||||||||
Institutes and Institutions: | Institute of Atmospheric Physics > Earth System Model Evaluation and Analysis | ||||||||
Deposited By: | Langer, Michaela | ||||||||
Deposited On: | 25 Nov 2021 12:01 | ||||||||
Last Modified: | 24 Apr 2024 20:45 |
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