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    How Are Emergent Constraints Quantifying Uncertainty and What Do They Leave Behind? 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( 100 ):;issue: 012:;page 2571
    Author(s): Williamson, Daniel B.;Sansom, Philip G.
    Publisher: American Meteorological Society
    Abstract: The use of emergent constraints to quantify uncertainty for policy-relevant quantities such as equilibrium climate sensitivity (ECS) has become increasingly widespread in recent years. Many researchers, however, claim that ...
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    Simple Uncertainty Frameworks for Selecting Weighting Schemes and Interpreting Multimodel Ensemble Climate Change Experiments 

    Source: Journal of Climate:;2013:;volume( 026 ):;issue: 012:;page 4017
    Author(s): Sansom, Philip G.; Stephenson, David B.; Ferro, Christopher A. T.; Zappa, Giuseppe; Shaffrey, Len
    Publisher: American Meteorological Society
    Abstract: uture climate change projections are often derived from ensembles of simulations from multiple global circulation models using heuristic weighting schemes. This study provides a more rigorous justification for this by ...
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    A Bayesian Framework for Verification and Recalibration of Ensemble Forecasts: How Uncertain is NAO Predictability? 

    Source: Journal of Climate:;2015:;volume( 029 ):;issue: 003:;page 995
    Author(s): Siegert, Stefan; Stephenson, David B.; Sansom, Philip G.; Scaife, Adam A.; Eade, Rosie; Arribas, Alberto
    Publisher: American Meteorological Society
    Abstract: redictability estimates of ensemble prediction systems are uncertain because of limited numbers of past forecasts and observations. To account for such uncertainty, this paper proposes a Bayesian inferential framework that ...
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