EXACT LOCATION OF
THUNDERSTORM DEVELOPMENT
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METEOROLOGIST JEFF HABY
One of the great mysteries in weather forecasting is predicting the exact location a thunderstorm will form. What
causes a storm to form at one location and not another just down the road? Why do some of the thunderstorms that
are near each other become stronger than others? Will we ever be able to predict the locations individual
thunderstorms will develop and move?
These are all great questions that today's technology can not yet answer fully. However, we do understand why
storms form in one place and not in another. With today's technology, forecasters know a region in which
thunderstorms or
severe thunderstorms "watch boxes" are likely to develop but not over which counties they
will develop.
For warm season thunderstorms
"air mass thunderstorms" the two important known factors which determine where a storm
will form are the
cap and
boundary layer conditions (assuming mid-levels of atmosphere are
unstable). With one
Skew-T sounding the cap is only known for that one point. In every direction from the sounding the cap strength
will be different. This is synonymous with rain gauges. Spread rain gauges out over a county and each one will
record a different rainfall amount (some more than average and some less than average). This same idea is true
of the cap; it is stronger in some locations than others, even over small distances. What makes it even more
complicated is that these maximums and minimums in the cap are in motion.
The second factor is boundary conditions (region from surface to the bottom of the cap). The best tool to assess
boundary layer stability or instability is
Theta-E and zones of small scale convergence. Theta-E, as you know,
combines temperature and moisture. Theta-E increases (boundary layer more unstable) as temperature and/or moisture
content increase. Theta-E ridges represent areas which are potentially more buoyant than others if the air is
allowed to rise.
Putting these two ideas together, air mass thunderstorms will first develop at locations that have a combination of
a low cap and high Theta-E and boundary layer convergence. Today, this can be done operationally on the synoptic
and the medium to large mesoscale, but not yet at a scale small enough to predict over which county a storm will
develop. Exceptions to this occur on small time scales. With a wind analysis
(areas of convergence and divergence)
and a cap, theta-E analysis, thunderstorms can be predicted just before they form (less than an hour before they
form) if a mesoscale network is in place such as Oklahoma's MESONET. But the scale is too large and atmosphere
too chaotic to be able to forecast more than 6 hours in advance the exact location a storm will form. For now
we will have to stick with probabilities (percentage chance of rain, scatteredness of storms).
Of course there are other factors such as topography and dynamical lifting that make this discussion even
more complicated. The primary point to make is that every indice value on a Skew-T varies across
the forecast region.
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