ICAR and WRF: Idealized Ridge Simulations for Atmospheric Model Evaluation

Idealized simulations from a study evaluating the Intermediate Complexity Atmospheric Research (ICAR) model against the full-physics Weather Research and Forecasting (WRF) model. The data represents a saturated atmosphere over a 1-km high ridge, used for a process-based analysis of mountain wave dynamics and model fidelity. Results informed three specific modifications to improve ICAR's wind field representation and boundary condition handling.

Use Cases

• Process-based model evaluation based on comparisons between linear-theory and full-physics atmospheric models.
• Analyzing mountain wave dynamics and non-linear effects using idealized ridge and atmospheric profile data.
• Testing recommendations for calculating Brunt-Väisälä frequencies from an unperturbed base state in linear models.
• Investigating the impact of upper boundary conditions on simulated potential temperature and water vapor fields.

Strengths

• Data supports a published, in-depth process-based evaluation study, providing a concrete use case.
• Simulations are based on precisely defined physical parameters (e.g., ridge height: 1 km, wind speed: 20 m/s, Brunt-Väisälä frequency: 0.01 s⁻¹).
• Cross-platform presence on PapersWithCode indicates recognized utility for the research community.

Limitations

• Critical metadata is missing: no row count, file size, column names, or specific last updated date are provided.
• The dataset's scope is limited to a single, highly controlled idealized scenario (a ridge with non-dimensional mountain height of 0.5).
• Documentation gaps exist; the exact file formats and structure of the simulation output are unknown.

Provenance

Source

Johannes Horak, Universität Innsbruck

Collection Method

Generated from idealized numerical simulations using the ICAR and WRF atmospheric models.

Geography

Idealized domain; case study application focused on the South Island of New Zealand.