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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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