CLUBB-SCM: Single-Column Model Simulation Scripts and Data

Zhang et al. (2023) produced this archive containing run scripts for CLUBB single-column model simulations and post-processed data with analysis scripts. The dataset supports research on removing numerical pathologies in a turbulence parameterization through convergence testing. It includes two distinct code branches for the CLUBB-SCM model, available separately on Zenodo.

Use Cases

• Reproducing simulation results from Zhang et al. (2023) using the provided run scripts.
• Analyzing post-processed model output data to study numerical convergence in turbulence schemes.
• Comparing the performance of the base CLUBB code against the revised version discussed in the paper.
• Developing or modifying analysis scripts for single-column model output based on the included examples.

Strengths

• Directly supports a peer-reviewed publication (Zhang et al., 2023, JAMES), ensuring research relevance.
• Includes two specific, versioned code branches (base and revised) for precise reproducibility.
• Cross-platform presence on PapersWithCode indicates recognized utility in the research community.

Limitations

• Key metadata such as dataset size, row count, and specific column names are not provided in any source.
• The 'last updated' date is unknown across all platform entries, limiting assessment of freshness.
• The provided tags from one platform (e.g., 'Column (typography)') are generic and not domain-specific.

Provenance

Source

Shixuan Zhang, Pacific Northwest National Laboratory

Collection Method

Generated from CLUBB-SCM simulations for the study published in JAMES (2023).

Time Range

Associated with research published in 2023.