This paper will examine the temporal changes in those characteristics at the seasonal (winter, spring, summer, and fall) and annual time scale by comparing the first half of the record with the second half of the record. Differences will be tested for statistical significance using appropriate tests (e.g., chi-square). Spatial clustering of mean storm structure parameters is used to regionalize the storm structures at stations, allowing for the possibility of identifying regional trends while minimizing the effects of a single station. The methodology of comparing the two halves of the record is used rather than other traditional trend analysis because the period of record of the digital data for most of the stations in the dataset is on the order of 25 years. Even so, the analysis should indicate nascent trends in the data.
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