Boltek Lightning/2000 User Manual
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R E A L - T I M E L I G H T N I N G D E T E C T I O N
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will suffer. Also, at large distances the signal will degrade and 
some of the information content of the signal necessary for 
stroke classification will be lost in the background noise. This 
will vary from stroke to stroke. At extreme range, reflections 
from the ionosphere can cause an inversion of the 
information used to determine the polarity of the stroke type 
which will in turn cause the stroke to be plotted 180 degrees 
from its true location. 
The stroke rate can also cause some errors in the stroke 
sorting process. In cases of very high stroke rates from 
several storms (stroke count over 1000/minute) the 
occasional loss of information at the beginning of a signal 
may cause an error in stroke classification. 
The distance that IC strokes can be detected can also be a 
problem. At larger distances the total stroke counts will not 
be a true indicator of storm activity due to the limited range at 
which IC strokes can be detected. An example of this would 
be a supercell storm over 200 miles away. At that distance a 
much smaller percentage of the IC strokes would be detected 
(if any) and the storm’s type could be hard to classify based 
on just CG activity. An extreme case of this would be a 
supercell storm that is producing only IC lightning. At long 
range (200+ miles), such a storm may not be detectable or 
look like a normal weak storm cell. 
The detection efficiency (DE) of the hardware has been 
estimated with a series of measurements with the data sets of 
several storms. The DE for CG strokes is about 85% +/- 
6% and the DE for IC strokes is about 20% +/- 5%. An 
additional factor that effects the DE is the percentage of IC 
and CG that can not be classified into stroke types. This may 
result in the stroke type being classified as unknown or as 
noise. Typical percentages seen (from a 108,000+ stroke 
summer storm) are: