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Comments on “A Simple, Coherent Framework for Partitioning Uncertainty in Climate Predictions”
Author(s) -
Paul Northrop
Publication year - 2013
Publication title -
journal of climate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.315
H-Index - 287
eISSN - 1520-0442
pISSN - 0894-8755
DOI - 10.1175/jcli-d-12-00527.1
Subject(s) - simple (philosophy) , simplicity , climate model , climatology , computer science , climate system , environmental science , climate change , econometrics , mathematics , geology , physics , philosophy , oceanography , epistemology , quantum mechanics
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.

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