Eyring, Veronika (2023) Machine learning for improved understanding and projections of climate change. Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling, 15.06.2023, Oberwolfach, Deutschland.
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Item URL in elib: | https://elib.dlr.de/196002/ | ||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||
Title: | Machine learning for improved understanding and projections of climate change | ||||||||
Authors: |
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Date: | 2023 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | No | ||||||||
Gold Open Access: | No | ||||||||
In SCOPUS: | No | ||||||||
In ISI Web of Science: | No | ||||||||
Status: | Published | ||||||||
Keywords: | machine learning, mechanistic modelling | ||||||||
Event Title: | Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling | ||||||||
Event Location: | Oberwolfach, Deutschland | ||||||||
Event Type: | Workshop | ||||||||
Event Dates: | 15.06.2023 | ||||||||
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: | Stockinger, Pascal | ||||||||
Deposited On: | 13 Jul 2023 16:08 | ||||||||
Last Modified: | 13 Jul 2023 16:08 |
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