No, not the perfect storm, but a pretty good one anyway.
The text below explains how meteorologists identify storms on maps. They find the right symbolic icons and interpret them carefully.
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You will find the most interesting weather stuff on these maps
For example
RADAR
maps, weather diagrams which show nearby areas with the heaviest rainfall and tornadoes, are more exciting than a national map indicating
storms
in the region. So far, the US weather service has the most extensive radar coverage while other nations are catching up.
For another example of severe weather pictures, see this stark
lightning photograph.
People who enjoy storm chasing collect photos of this sort. Ever heard of people getting hit by lightning several times throughout life and surviving? Any truth to that?
This article should set you straight.
Mesoscale maps give us a closer look at critical features. For instance, people living in an area would know that the west side of a neighboring hill usually gets a lot more rain than the east side.
Mesoscale forecasting allows for this kind of distinction.
BrainSTORMing for science lesson plans:
The things you see on
national weather maps
(highs and lows etc.) are called synoptic features. That means we see them by looking at measurements from several stations at once.
Data such as relative humidity, temperature and other parameters over a widespread area. These big things often reach a thousand or more miles across. And they take more than a day to pass by, usually two or three.
The things on a
mesoscale map,
like this one which shows the path of a tornado, are much smaller. They may present thunderstorms, the heat island urban centers produce,
hurricanes,
squalls and sea breezes.
Systems like the ones in these severe weather pictures can measure as small as a mile or less. They take an
hour
or so to pass, up to a whole day. Scientists do not agree on the limits of this scale, and some of them use
math formulae
to separate them. They use concepts such as
Coriolis parameters
to make their distinctions.
Others just say that if things are small enough to fit betweenairports,
maybe the
network
of national observations will just miss them. This turns them over to the mesoscale by default. Practical.
Mesoscale examinations can also explain why two adjacent weather stations can show radically different measurements. And can even provide a basis for occasionally rejecting data with history and other weather contexts considered.
Most importantly, forecasters look for some sense of consistency with the
overlying
major systems.