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    Influence of Modes of Climate Variability on Global Temperature Extremes 

    Source: Journal of Climate:;2008:;volume( 021 ):;issue: 015:;page 3872
    Author(s): Kenyon, Jesse; Hegerl, Gabriele C.
    Publisher: American Meteorological Society
    Abstract: The influence of large-scale modes of climate variability on worldwide summer and winter temperature extremes has been analyzed, namely, that of the El Niño?Southern Oscillation, the North Atlantic Oscillation, and Pacific ...
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    Influence of Modes of Climate Variability on Global Precipitation Extremes 

    Source: Journal of Climate:;2010:;volume( 023 ):;issue: 023:;page 6248
    Author(s): Kenyon, Jesse; Hegerl, Gabriele C.
    Publisher: American Meteorological Society
    Abstract: The probability of climate extremes is strongly affected by atmospheric circulation. This study quantifies the worldwide influence of three major modes of circulation on station-based indices of intense precipitation: the ...
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    Detectable Changes in the Frequency of Temperature Extremes 

    Source: Journal of Climate:;2013:;volume( 026 ):;issue: 005:;page 1561
    Author(s): Morak, Simone; Hegerl, Gabriele C.; Christidis, Nikolaos
    Publisher: American Meteorological Society
    Abstract: his study determines whether observed recent changes in the frequency of hot and cold extremes over land can be explained by climate variability or whether they show a detectable response to external influences. The authors ...
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    Influence of Patterns of Climate Variability on the Difference between Satellite and Surface Temperature Trends 

    Source: Journal of Climate:;2002:;volume( 015 ):;issue: 017:;page 2412
    Author(s): Hegerl, Gabriele C.; Wallace, John M.
    Publisher: American Meteorological Society
    Abstract: During the past 20 years, satellite measurements of tropospheric temperature have shown a slower rate of global temperature increase than surface air temperature, yielding an increase in the surface to lower-troposphere ...
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    Origins of Model–Data Discrepancies in Optimal Fingerprinting 

    Source: Journal of Climate:;2002:;volume( 015 ):;issue: 011:;page 1348
    Author(s): Hegerl, Gabriele C.; Allen, Myles R.
    Publisher: American Meteorological Society
    Abstract: Two approaches to distinguishing anthropogenic greenhouse gas and sulfate aerosol signals in the observed surface temperature record are compared. Both rely on a variant of general regression called ?optimal fingerprinting.? ...
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    Comparison of Statistically Optimal Approaches to Detecting Anthropogenic Climate Change 

    Source: Journal of Climate:;1997:;volume( 010 ):;issue: 005:;page 1125
    Author(s): Hegerl, Gabriele C.; North, Gerald R.
    Publisher: American Meteorological Society
    Abstract: Three statistically optimal approaches, which have been proposed for detecting anthropogenic climate change, are intercompared. It is shown that the core of all three methods is identical. However, the different approaches ...
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    Testing Methods of Pattern Extraction for Climate Data Using Synthetic Modes 

    Source: Journal of Climate:;2021:;volume( 034 ):;issue: 018:;page 7645
    Author(s): Fulton, D. James;Hegerl, Gabriele C.
    Publisher: American Meteorological Society
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    Bias Correcting Climate Model Simulations Using Unpaired Image-to-Image Translation Networks 

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 002
    Author(s): Fulton, D. James; Clarke, Ben J.; Hegerl, Gabriele C.
    Publisher: American Meteorological Society
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    Comparisons of the Second-Moment Statistics of Climate Models 

    Source: Journal of Climate:;1996:;volume( 009 ):;issue: 009:;page 2204
    Author(s): Kim, Kwano-Y.; North, Gerald R.; Hegerl, Gabriele C.
    Publisher: American Meteorological Society
    Abstract: In this study the magnitude and the temporal and spatial correlation scales of background fluctuations generated by three climate models, two different coupled ocean-atmosphere general circulation models and one energy ...
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    Causes of Robust Seasonal Land Precipitation Changes 

    Source: Journal of Climate:;2013:;volume( 026 ):;issue: 017:;page 6679
    Author(s): Polson, Debbie; Hegerl, Gabriele C.; Zhang, Xuebin; Osborn, Timothy J.
    Publisher: American Meteorological Society
    Abstract: istorical simulations from phase 5 of the Coupled Model Intercomparison Project (CMIP5) archive are used to calculate the zonal-mean change in seasonal land precipitation for the second half of the twentieth century in ...
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