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Probabilistic Analysis of Spring Frost

PI: James Rigby
Institution: Duke University
Abstract:
This work will use 3-hr to daily temperature data from historical temperature records combined with GCM data to characterize current and future spring temperature variability, including probabilities of frost events. The focus of the work is to assess spring temperature variability (March, April, May) as this represents a crucial time in the development, and vulnerability, of vegetation. The analysis will focus on the United States, with discussion of spatial variation in results.
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