| Description: |
The authors of this research article investigate the potential for skillfully predicting the number of daily temperature extremes over 3 month (seasonal) periods. They show that the skill in predicting the number of extreme days is largely a consequence of the relationship between the seasonal mean temperature and the number of extreme days. The skill in predicting the number of extreme days occurs primarily through a shift in the distribution of the daily data rather than a change of its shape. [Source: JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES]
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