EFFECTIVE FRACTAL DIMENSION AND CORRECTIONS TO THE MEAN OF ANNUAL MAXIMA

Given a time series of daily rainfall totals, it is recognized that th e maximum daily value is, in general, lower than the true 24 h maximum . Thus, annual maximum series under-represent the extreme events, and correction factors are therefore required to convert them to their 24 h counterparts. The phenomenon is generalized and examined by referenc e to UK time series for rainfall, wind speed and air temperature, resu lting in mean correction factors of 1.167, 1.099 and 1.036, respective ly. For air temperature, the result is influenced by the choice of dat um. In general, such correction factors are unavailable, and so the ef fective fractal dimension, d, of the data is investigated as a means t hrough which to predict them; the correlation found is promising.