On Constraining Projections of Future Climate Using Observations and Simulations From Multiple Climate Models

DOI10.1080/01621459.2020.1851696zbMath1464.86002arXiv1711.04139OpenAlexW3106155912WikidataQ120285364 ScholiaQ120285364MaRDI QIDQ4999129

Thomas J. Bracegirdle, David Stephenson, Philip G. Sansom

Publication date: 6 July 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1711.04139

zbMATH Keywords

measurement errorhierarchical modelsBayesian modelingcoupled model intercomparison project phase 5emergent constraints

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Climate science and climate modeling (86A08)

Related Items (1)

Multimodel ensemble analysis with neural network Gaussian processes

Cites Work

• Temperatures in transient climates: improved methods for simulations with evolving temporal covariances
• Climate projections using Bayesian model averaging and space-time dependence
• Bayesian Calibration of Computer Models
• Second-Order Exchangeability Analysis for Multimodel Ensembles
• Exploiting strength, discounting weakness: combining information from multiple climate simulators
• Spatial Analysis to Quantify Numerical Model Bias and Dependence
• Bayesian Forecasting for Complex Systems Using Computer Simulators
• Bayesian Modeling of Uncertainty in Ensembles of Climate Models

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