Climate Model and Observational Temperature Comparison Data

A paper demonstrates improved agreement between climate models and observational temperature records by correcting for a systematic comparison error. The research team, including authors Kevin Cowtan and Ed Hawkins, published their findings and made associated data and code available. The dataset likely contains processed temperature data from models and observations used for this comparative analysis.

Use Cases

• Benchmarking climate model accuracy based on corrected air and sea surface temperature comparisons.
• Analyzing historical temperature trends based on reconciled model and observational data.
• Studying the impact of different forcing scenarios on model-observation agreement.

Strengths

• Data and code are openly available, supporting reproducibility.
• Focuses on a specific, documented methodological correction in climate science.

Limitations

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

Provenance

Source

RobustTempComparison research team

Collection Method

Likely contains processed outputs from climate models and observational datasets.

Geography

Global