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    Exploring the Usability of Probabilistic Weather Forecasts for Water Resources Decision-Making in the United Kingdom 

    Source: Weather, Climate, and Society:;2017:;volume( 009 ):;issue: 004:;page 701
    Author(s): Lopez, Ana;Haines, Sophie
    Publisher: American Meteorological Society
    Abstract: AbstractOver the last two decades, probabilistic weather forecasts have been developed to quantify the uncertainties inherent in modeling the climate system. The skill of these forecasts has steadily increased, but the ...
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    Sensitivity of Climate Change Detection and Attribution to the Characterization of Internal Climate Variability 

    Source: Journal of Climate:;2013:;volume( 027 ):;issue: 010:;page 3477
    Author(s): Imbers, Jara; Lopez, Ana; Huntingford, Chris; Allen, Myles
    Publisher: American Meteorological Society
    Abstract: he Intergovernmental Panel on Climate Change?s (IPCC) ?very likely? statement that anthropogenic emissions are affecting climate is based on a statistical detection and attribution methodology that strongly depends on the ...
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    Two Approaches to Quantifying Uncertainty in Global Temperature Changes 

    Source: Journal of Climate:;2006:;volume( 019 ):;issue: 019:;page 4785
    Author(s): Lopez, Ana; Tebaldi, Claudia; New, Mark; Stainforth, Dave; Allen, Myles; Kettleborough, Jamie
    Publisher: American Meteorological Society
    Abstract: A Bayesian statistical model developed to produce probabilistic projections of regional climate change using observations and ensembles of general circulation models (GCMs) is applied to evaluate the probability distribution ...
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