MAR Downscaled Greenland Surface Temperature and Mass Balance at 100m Resolution

A dataset containing surface temperature and surface mass balance data for the Greenland Ice Sheet, statistically downscaled from 6 km to 100-meter resolution. The data was generated from the MAR regional climate model over two test areas. The accompanying paper reports that the downscaled product shows improved accuracy, with the coefficient of determination (R²) increasing from 0.868 to 0.935 compared to the original model output.

Use Cases

• Modeling future sea level rise contributions based on high-resolution surface mass balance projections.
• Validating regional climate model outputs against in-situ surface mass balance measurements.
• Studying the relationship between elevation and mass loss in Greenland at a fine spatial scale.
• Developing or benchmarking computational frameworks for parallel geospatial downscaling processes.

Strengths

• Provides a high-resolution (100m) product downscaled from a coarser (6km) regional climate model.
• Demonstrates improved statistical accuracy, with the coefficient of determination (R²) increasing to 0.935 for the downscaled product.
• Focuses on a critical region for climate science, the Greenland Ice Sheet, which directly contributes to sea level rise.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The temporal coverage and last update date are not specified in the provided metadata.

Provenance

Source

Marco Tedesco at Columbia University, via the paperswithcode platform.

Collection Method

Generated from the MAR regional climate model using a parallelized statistical downscaling framework.

Geography

Greenland Ice Sheet, specifically two test areas.