COSMO Ensemble Simulations for Weather Model Verification

200-member ensemble simulations from the COSMO 5.09 weather and climate model, run for 5 days with different diffusion coefficients. The data was produced by Christian Zeman at ETH Zurich for model verification in a published paper. The dataset is split into three parts based on diffusion coefficient values.

Use Cases

• Verifying weather model executables based on ensemble simulation outputs.
• Analyzing the sensitivity of model forecasts to changes in the explicit diffusion coefficient.
• Developing statistical methodologies for detecting differences in climate model runs.
• Benchmarking the performance of GPU-accelerated versions of the COSMO model.

Strengths

• Contains three distinct 200-member ensembles, providing a substantial sample for statistical analysis.
• Simulations are run for a 5-day period, offering a short-term forecast window for verification.
• Data is directly linked to a peer-reviewed scientific paper, providing documented context.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total data size are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection.

Provenance

Source

ETH Zurich

Collection Method

Numerical simulations produced with the COSMO 5.09 GPU version.

Time Range

5-day simulation period