Eyring, Veronika (2023) Improving Earth System Model Parametrizations with Machine Learning. Advances in global and regional climate modelling, 2023-10-23 - 2023-10-27, Kigali, Ruanda.
Full text not available from this repository.
| Item URL in elib: | https://elib.dlr.de/199564/ | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Document Type: | Conference or Workshop Item (Speech) | ||||||||
| Title: | Improving Earth System Model Parametrizations with Machine Learning | ||||||||
| Authors: |
| ||||||||
| 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, earth system model parametrizations, global and regional climate modelling | ||||||||
| Event Title: | Advances in global and regional climate modelling | ||||||||
| Event Location: | Kigali, Ruanda | ||||||||
| Event Type: | international Conference | ||||||||
| Event Start Date: | 23 October 2023 | ||||||||
| Event End Date: | 27 October 2023 | ||||||||
| Organizer: | WCRP | ||||||||
| 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: | 22 Nov 2023 11:18 | ||||||||
| Last Modified: | 24 Apr 2024 21:00 |
Repository Staff Only: item control page