• Yip, S., , C. A. T. Ferro, , D. B. Stephenson, , and E. Hawkins, 2011: A simple, coherent framework for partitioning uncertainty in climate predictions. J. Climate, 24, 46344643.

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  • 1 University College London, London, United Kingdom
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Abstract

In a recent article Yip et al. present a simple, yet powerful, framework for partitioning uncertainty in multimodel climate ensembles. Simplicity is achieved by extracting from climate prediction ensembles a single subset with a convenient structure. Here, the analysis of predictions of twenty-first-century global temperature by Yip et al. is extended by analyzing all possible subsets. Findings can depend strongly on the particular dataset chosen, so relying on a single dataset may be misleading.

Corresponding author address: Paul Northrop, Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, United Kingdom. E-mail: p.northrop@ucl.ac.uk

The original article that was the subject of this comment/reply can be found at http://journals.ametsoc.org/doi/abs/10.1175/2011JCLI4085.1.

Abstract

In a recent article Yip et al. present a simple, yet powerful, framework for partitioning uncertainty in multimodel climate ensembles. Simplicity is achieved by extracting from climate prediction ensembles a single subset with a convenient structure. Here, the analysis of predictions of twenty-first-century global temperature by Yip et al. is extended by analyzing all possible subsets. Findings can depend strongly on the particular dataset chosen, so relying on a single dataset may be misleading.

Corresponding author address: Paul Northrop, Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, United Kingdom. E-mail: p.northrop@ucl.ac.uk

The original article that was the subject of this comment/reply can be found at http://journals.ametsoc.org/doi/abs/10.1175/2011JCLI4085.1.

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