CRCM5-LE: High-Resolution Climate Ensemble Sample for Precipitation Emulation

A sample subset of the CRCM5-LE (Canadian Regional Climate Model version 5 Large Ensemble) climate projection ensemble. The data was prepared by Christina Heinze-Deml of ETH Zurich for demonstrating the Latent Linear Adjustment autoencoder method. The full 50-member ensemble provides high-resolution climate change projections over Europe and northeastern North America.

Use Cases

• Developing precipitation emulation models based on the high-resolution climate ensemble data.
• Testing downscaling algorithms using the 12-km resolution regional climate model output.
• Benchmarking novel autoencoder architectures for climate variable adjustment, as referenced in the associated paper.
• Analyzing ensemble spread and uncertainty in regional climate projections for specific geographic areas.

Strengths

• Based on a well-documented 50-member ensemble climate model (CRCM5-LE).
• Provides high-resolution projections at a 12-km grid scale.
• Associated with a peer-reviewed methodological paper demonstrating a specific application.

Limitations

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

Provenance

Source

ClimEx Project / Canadian Regional Climate Model (CRCM5)

Collection Method

Regional climate model simulations from a 50-member ensemble.

Geography

Europe and northeastern North America