Pseudo-observational Datasets for Testing Climate Projection Calibration

Pseudo-observational datasets were produced by standardising and anonymising output from climate model data from the CMIP6 archive. Author Christopher O’Reilly from the University of Oxford prepared this data for EUCP Work Package 2 methods to calibrate climate projections. All data is stored in netcdf format.

Use Cases

• Testing projection calibration methods based on the standardized CMIP6 model output
• Benchmarking different calibration approaches as referenced in the Brunner et al. paper
• Validating climate model performance using pseudo-observational data

Strengths

• Data is derived from the authoritative CMIP6 climate model archive
• Data is standardized and anonymized for method comparison
• Format is netcdf, a common standard for climate data

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

CMIP6 climate model archive

Collection Method

Standardized and anonymized model output