Spatially Averaged Test Results for SP and DP COSMO Climate Simulations

Hugo Banderier from the University of Bern created this dataset for the manuscript "Reduced floating-point precision in regional climate simulations: An ensemble-based statistical verification". It contains spatially averaged test results for five experiments: Identical, Single Precision, and three Modified Diffusion experiments. The data includes results for ten years and 100 random selections, along with final verification decisions based on a 95th percentile threshold.

Use Cases

• Verifying the statistical equivalence of single and double-precision climate simulations based on the described ensemble tests.
• Analyzing the impact of modified diffusion schemes on simulation results based on the three experiment categories.
• Benchmarking numerical precision thresholds for climate model acceptance based on the 95th percentile decision methodology.

Strengths

• Data is directly tied to a submitted academic manuscript, suggesting peer-reviewed methodology.
• Covers results from five distinct numerical experiments.
• Includes ten years of simulation data and 100 random selections for statistical robustness.

Limitations

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

Provenance

Source

University of Bern

Collection Method

Generated from COSMO regional climate model simulations and statistical verification tests.

Time Range

Covers ten years of simulation.