Aerosol and Cloud Microphysics Data for a Global Climate Model

ETH Zurich researchers Ulrike Proske, Sylvaine Ferrachat, and Ulrike Lohmann published this data in 2022. It supports the paper 'Addressing complexity in global aerosol climate model cloud microphysics'. The data is stored in a repository with associated scripts available via a Zenodo DOI.

Use Cases

• Benchmarking aerosol-climate model performance based on the published simulation data.
• Analyzing the impact of aerosol complexity on cloud microphysics based on the model outputs described.
• Reproducing the findings of the associated 2022 scientific publication.
• Developing or testing new parameterizations for cloud processes based on the model data.

Strengths

• Data is directly linked to a peer-reviewed scientific publication from 2022.
• Associated analysis scripts are provided via a persistent Zenodo DOI (10.5281/zenodo.7375978).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

ETH Zurich

Collection Method

Likely generated from global climate model simulations.

Geography

Global