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Computing the Fields from the Fractal Structure

A current pulse propagates along the horizontal (in the x-y plane) 2 dimensional fractal discharge structure, e.g. generating radiation fields. The radiation field is the superposition, with the respective phases, of the small line current elements. The intracloud current pulse is taken as a series of train pulses that propagate along the arms of the antenna

with and as the step function. Here n represent the number of oscillations during the decay time scale 1/. We chose the decay parameters as s and s, hence , which correspond to realistic parameters for lightning [Uman, 1987]. The total charge discharged is then , which for gives . As we have seen before, we require to create the spatial structures so that the exponential decay can be considered as the envelope of the oscillating part.

On a given position the time dependence of the field intensity E has a fractal structure, as it is shown in Fig. 18a for the stochastic discharge model with . The frequency spectrum of the electric field is shown in Fig. 18b. It is very important to realize that the relevant frequencies are below a few hundred kHz. By restricting the field frequencies to below a few hundred kHz, the analysis is greatly simplified, since then the conductivity and dielectric tensors can be considered as independent of time in the lower ionosphere (see Appendix B).

The large conductivity of the ground at these frequencies can be included by assuming to first order an image discharge of opposite current below a perfectly conductive plane. The primary discharge is taken to be at z km above the ground. This parameter is not very relevant, since we are interested in the field at heights of about km, therefore, moving the discharge from 5 to 10 km will only change the field strength by a marginal 10%.

  
Figure 18: (a) The field power density due to the stochastic discharge model at a given position as a function time (b) and the frequency spectrum of the field.



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Next: How does the Up: Modeling Lightning as Previous: Fractal Lightning: Stochastic