Precalibrating an intermediate complexity climate model

Edwards, Neil; Cameron, David and Rougier, Jonathan (2011). Precalibrating an intermediate complexity climate model. Climate Dynamics, 37(7-8) pp. 1469–1482.

DOI: https://doi.org/10.1007/s00382-010-0921-0

Abstract

Credible climate predictions require a rational quantification of uncertainty, but full Bayesian calibration requires detailed estimates of prior probability distributions and covariances, which are difficult to obtain in practice. We describe a simplified procedure, termed precalibration, which provides an approximate quantification of uncertainty in climate prediction, and requires only that uncontroversially implausible values of certain inputs and outputs are identified. The method is applied to intermediate-complexity model simulations of the Atlantic meridional overturning circulation (AMOC) and confirms the existence of a cliff-edge catastrophe in freshwaterforcing input space. When uncertainty in 14 further parameters is taken into account, an implausible, AMOC-off, region remains as a robust feature of the model dynamics, but its location is found to depend strongly on values of the other parameters.

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About

• Item ORO ID
• 23425
• Item Type
• Journal Item
• ISSN
• 1432-0894
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Not Set	NE/C522268/1	NERC (Natural Environment Research Council)

• Keywords
• uncertainty; probabilistic prediction; thermohaline circulation; intermediate complexity climate model
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 2010 Springer
• Depositing User
• Neil Edwards