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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 subsequent months. 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 most rain. 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 weather forecasters. 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 weather. 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?  Any problems with this page? Send URL to
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