FaIR v1.6.2: Calibrated Parameter Ensemble for IPCC AR6
by Chris Smith / University of Leeds
Available on 1 platform
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Description
2237 ensemble members provide calibrated parameters for the FaIR simple climate model used in the IPCC Sixth Assessment Report. The dataset, drawn from a prior of 1 million members, is constrained by historical observations of warming, ocean heat content, and atmospheric CO2 concentrations. It includes full and reduced-size parameter sets optimized for climate assessment scenarios.
Use Cases
Running climate projections for IPCC Working Group 3 assessments based on the constrained parameter ensemble.
Analyzing the distribution of equilibrium climate sensitivity across the calibrated ensemble members.
Investigating transient climate response parameters derived from historical observational constraints.
Testing model behavior under Shared Socioeconomic Pathway (SSP) scenarios using the provided parameter sets.
Strengths
Contains 2237 ensemble members rigorously constrained by multiple historical observations, including warming from 1850-2019.
Derived from a substantial initial prior ensemble of 1 million members, indicating a thorough sampling and filtering process.
Includes multiple file versions (full, slim, common) optimized for different computational and analysis needs.
Limitations
Specific column names and data structure within the JSON files are not described in the provided metadata.
The exact dataset size (file size) and row count are not specified across any source.
Conflicting metadata exists: some sources list an organization (University of Leeds) while others do not.
Provenance
Source
Chris Smith, associated with the University of Leeds.
Collection Method
Parameters were drawn from a prior ensemble of 1 million members and constrained by historical observational data to match IPCC AR6 assessed ranges.
Time Range
Calibration and constraints reference historical periods from 1850 to 2019.
Dataset is licensed as Open Access (green). Version 1.1 includes lightweight parameter sets for efficiency.