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Li, Jingmin (2024) Data used in "Revealing dominant patterns of aerosols regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations" (Li et al., Atmos. Chem. Phys. 2024). [Other]
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Abstract
This dataset contains the processed EMAC simulation used as input to the clustering algorithm and the resulting regimes discussed in Li et al. (Atmos. Chem. Phys., 2024).
| Item URL in elib: | https://elib.dlr.de/209998/ | ||||||||
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| Document Type: | Other | ||||||||
| Title: | Data used in "Revealing dominant patterns of aerosols regimes in the lower troposphere and their evolution from preindustrial times to the future in global climate model simulations" (Li et al., Atmos. Chem. Phys. 2024) | ||||||||
| Authors: |
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| Date: | 24 September 2024 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| DOI: | 10.5281/zenodo.8398024 | ||||||||
| Status: | Published | ||||||||
| Keywords: | aerosol regimes, global aerosol modelling, preindustrial aerosol, SSP scenarios, K-means algorithm, Random Forest algorithm, machine learning | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Transport | ||||||||
| HGF - Program Themes: | Transport System | ||||||||
| DLR - Research area: | Transport | ||||||||
| DLR - Program: | V VS - Verkehrssystem | ||||||||
| DLR - Research theme (Project): | V - MoDa - Models and Data for Future Mobility_Supporting Services, R - Project MABAK, L - Climate, Weather and Environment | ||||||||
| Location: | Oberpfaffenhofen | ||||||||
| Institutes and Institutions: | Institute of Atmospheric Physics > Earth System Modelling | ||||||||
| Deposited By: | Li, Jingmin | ||||||||
| Deposited On: | 03 Dec 2024 13:39 | ||||||||
| Last Modified: | 03 Dec 2024 13:39 |
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