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|| MORE ABOUT MAKING PREDICTIONS
Data (remember, this is pronounced "DAY-tah") an be recorded
in a great variety of forms. The selection depends upon what
information is sought.
A few examples are given here in the hope that they will
stimulate other ideas and activities (e.g., each activity can
be altered by substituting a hygrometer or barometer for the
wind vane or by using all the tools you can get).
All of the sample forms can be prepared using the U.S./
Fahrenheit or the metric/Celsius measuring systems.
a. Determining the relationship of wind direction to
weather: Make or obtain a wind vane, and keep a record for a
month on a table or graph. On a daily basis, mark the wind
direction and the type of weather observed. Use symbols to
record the results.
Next, label the mark with the day of the month (e.g., on the
third day, the wind was from the northeast, and the sky was
cloudy; on the tenth day, the wind was from the northeast,
and it rained).
When the table is completed, you will have a graph
representing one month of data.
Decide what winds brought which weather into your locale.
Using the knowledge gained from the patterns, you will be
able to make more rational predictions about weather in
b. Determining the relationship of wind direction to
temperature: Make or obtain thermometers and wind vanes.
A table or graph can be used to compare wind direction and
temperature simultaneously. In this way you may determine
that winds from particular directions usually bring a
certain range of temperatures.
c. Determining the relationship of wind direction to
rainfall: Use a rain gauge and wind vane to gather data for
a table or graph. The amount of rainfall can be recorded in
tenths of an inch in relation to wind direction. At the end
of one month, you can determine which direction brought the
d. Comprehensive weather table: Using all the instruments
important to a weather station, you can take readings twice
daily at the same time and record them on a table or graph.
From the data, predictions can be made as to what weather to
expect. The predictions can be compared with those made by
From such data, you will realize that today's weather was
brought on by something that took place earlier, and that
today's weather, in turn, will be an influence upon future
You can also realize the importance of predicting weather
(e.g., hurricane warnings, frost warnings).
What does it mean when areas 100 miles inland (from an ocean)
are visited by hundreds of sea gulls? Do you think they flew
here because they smelled pizza? Do you think they could be
escaping from unpleasant coastal weather conditions?
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