By I.J. Dwyer, D.W. Reed
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Additional resources for Allowance for Discretization in Hydrological and Environmental Risk Estimation
The trace is used to extract accumulations (in units of 0. lmm) for each hour. 817 for the point rainfall record). If they are considered as separate climate variables then the results of Chapter 5 would suggest that catchment rainfall requires lower correction factors than point rainfall, which is in contradiction to the above findings. This suggests that, in terms of the fractal analysis of Chapter 5, catchment and point rainfall carnot be regarded as distinct climate variables between which dE can discern different correction properties.
DateB: the time-period covered by the record. Format: DDMMYY for the case where YY refers to the 20th Century, and DDMM8YY for the 19th Century. mean: arithmetic mean of all data values. s5- and air temperature in degrees Celsius. cv and skew: respectively, the coefficient of variation and skewness of all data values. d ,( ±): effective fractal dimension with error pertaining to the 95% confidence interval derived from the regression analysis. a(±): value of parameter a in the correction model with error pertaining to the 95% confidence interval derived from the regression analysis.
106 Johannesburg . 292 Richmond . 303 Upington . 357 Brisbane Hobart Melbourne Perth Sydney In contrast, the variograms for rainfall do change systematically with time scale: as the resolution becomes finer, a better appreciation of the fractal behaviour is obtained. 1 Catchmnent average rainfall The calculation of catchment rainfall necessarily has a smoothing effect: catchment rainfall events tend to start and stop less abruptly and have more uniform profiles than point rainfall events. Evidence for this can be found in the summary statistics for the two records (Appendix C) and the values for Nt (with the catchment value being the larger).
Allowance for Discretization in Hydrological and Environmental Risk Estimation by I.J. Dwyer, D.W. Reed