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    Use of the “Odds Ratio” for Diagnosing Forecast Skill 

    Source: Weather and Forecasting:;2000:;volume( 015 ):;issue: 002:;page 221
    Author(s): Stephenson, David B.
    Publisher: American Meteorological Society
    Abstract: This study investigates ways of quantifying the skill in forecasts of dichotomous weather events. The odds ratio, widely used in medical studies, can provide a powerful way of testing the association between categorical ...
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    GCM Response of Northern Winter Stationary Waves and Storm Tracks to Increasing Amounts of Carbon Dioxide 

    Source: Journal of Climate:;1993:;volume( 006 ):;issue: 010:;page 1859
    Author(s): Stephenson, David B.; Held, Isaac M.
    Publisher: American Meteorological Society
    Abstract: The response of the Geophysical Fluid Dynamics Laboratory (GFDL) coupled ocean-atmosphere R15, 9-level GCM to gradually increasing C02 amounts is analyzed with emphasis on the changes in the stationary waves and storm ...
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    Proper Scores for Probability Forecasts Can Never Be Equitable 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 004:;page 1505
    Author(s): Jolliffe, Ian T.; Stephenson, David B.
    Publisher: American Meteorological Society
    Abstract: Verification is an important part of any forecasting system. It is usually achieved by computing the value of some measure or score that indicates how good the forecasts are. Many possible verification measures have been ...
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    On the Robustness of Emergent Constraints Used in Multimodel Climate Change Projections of Arctic Warming 

    Source: Journal of Climate:;2012:;volume( 026 ):;issue: 002:;page 669
    Author(s): Bracegirdle, Thomas J.; Stephenson, David B.
    Publisher: American Meteorological Society
    Abstract: tatistical relationships between future and historical model runs in multimodel ensembles (MMEs) are increasingly exploited to make more constrained projections of climate change. However, such emergent constraints may be ...
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    Comments on “Discussion of Verification Concepts in Forecast Verification: A Practitioner’s Guide in Atmospheric Science” 

    Source: Weather and Forecasting:;2005:;volume( 020 ):;issue: 005:;page 796
    Author(s): Jolliffe, Ian T.; Stephenson, David B.
    Publisher: American Meteorological Society
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    Extremal Dependence Indices: Improved Verification Measures for Deterministic Forecasts of Rare Binary Events 

    Source: Weather and Forecasting:;2011:;volume( 026 ):;issue: 005:;page 699
    Author(s): Ferro, Christopher A. T.; Stephenson, David B.
    Publisher: American Meteorological Society
    Abstract: erifying forecasts of rare events is challenging, in part because traditional performance measures degenerate to trivial values as events become rarer. The extreme dependency score was proposed recently as a nondegenerating ...
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    Comments on “H. L. Wagner’s Unbiased Hit Rate and the Assessment of Categorical Forecasting Accuracy” 

    Source: Weather and Forecasting:;2014:;volume( 029 ):;issue: 003:;page 763
    Author(s): Jolliffe, Ian T.; Stephenson, David B.
    Publisher: American Meteorological Society
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    Spatial Weighting and Iterative Projection Methods for EOFs 

    Source: Journal of Climate:;2009:;volume( 022 ):;issue: 002:;page 234
    Author(s): Baldwin, Mark P.; Stephenson, David B.; Jolliffe, Ian T.
    Publisher: American Meteorological Society
    Abstract: Often there is a need to consider spatial weighting in methods for finding spatial patterns in climate data. The focus of this paper is on techniques that maximize variance, such as empirical orthogonal functions (EOFs). ...
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    CORRIGENDUM 

    Source: Journal of Climate:;2002:;volume( 015 ):;issue: 005:;page 553
    Author(s): Ambaum, Maarten H. P.; Hoskins, Brian J.; Stephenson, David B.
    Publisher: American Meteorological Society
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    Atlantic Atmosphere–Ocean Interaction: A Stochastic Climate Model–Based Diagnosis 

    Source: Journal of Climate:;2005:;volume( 018 ):;issue: 007:;page 1086
    Author(s): Mosedale, Timothy J.; Stephenson, David B.; Collins, Matthew
    Publisher: American Meteorological Society
    Abstract: A simple linear stochastic climate model of extratropical wintertime ocean?atmosphere coupling is used to diagnose the daily interactions between the ocean and the atmosphere in a fully coupled general circulation model. ...
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