Real Time Data Project #1  WHAT IS THIS "GOOD" OZONE ANYWAY?

Everyone is talking about the ozone holes, the UV-Index, and good ozone.  Here are some questions you should answer before you complete this project to "see how much you know".

1. What time of year do you expect the highest UV-Index?
2. Where do you expect the highest UV-Index currently?
3. Where is the hole in the ozone?
4. Do you expect the ozone hole to affect the UV-Index?
5. Could there be an ozone hole where you live?

Step 1 - Real Time World Wide UV Data

In this step you will access Real Time UV-Index data from around the world.

• Go to NOAA World UV-Index.  Choose sites from Table below.  Choose, at minimum, one city site from each table cell.
• Use National Geographic's Worldmap to find a site with an approximate latitude and longitude that is also listed in the NOAA World UV-Index. (You may click on the map for enlarged views)
• Record the UV-Index, City, State/Country of each of your 6 sites for a "clear sky."

 

New York Austria Russia	Egypt China Israel Iraq Los Angeles Morocco Japan Algeria Tunesia	Mexico Hawaii Saudi Arabia Miami India
Maledives Venezuela Thailand Barbados Cape Verde Dominican Republic	Brazil Bolivia Tahiti Indonesia Kenya Ecuador	Falkland Islands Argentina Australia South Africa

In this step you will find the exact latitude and longitude of your chose cities from Step #1.

• Go to How Far Is It .
• Type in the city, state, or country on the From ________ using the proper format (as stated in the query information).
• Look it up to find the exact latitude and longitude for each site that you have chosen in Step #1.
• The Site may not come up as NOAA has listed (the spelling may be different).
• You may need to check the spelling of each city, state or country.
• Use the World FactBook Reference to find this information.
• If you cannot find the city on the country map provided by the World FactBook, use the capital of the country instead.
• Record this latitude & longitude in degrees: minutes: seconds in your journal or the provided OZONE DATA TABLE.

In this step you will covert latitude and longitude from degrees:minutes:seconds to degrees (with decimal)

• Refresh your memory on how to do this conversion by visiting Longitude & Latitude (in degrees).
• Perform the calculations on calculator or scrap paper for each of your chosen cities.
• Record the new lat/long number in your journal or on the 4th column of your OZONE DATA TABLE.

Step 4 - Discovering the Use of Dobson Units.

• Go to Find the Ozone Over Your House.
• Type in the Latitude & Longitude for each selected city, making sure that you enter it as degrees as you converted in Step #3.
• Record the "Dobson Units" for each of your selected sites in your journal or on the 5th column of your OZONE DATA TABLE.

Step 5 – Real Time World Wide Temperature Data

• Go to CNN Interactive Weather and find today's forecasted high temperature for each of your chosen cities.
• Under world cities, choose your Region and then select the City.
• In your OZONE DATA TABLE record:
• Today's  high temperature forecast in degrees Fahrenheit.
• Current conditions (Examples: partly cloudy, sunny, t-storms)

• Graph #1 Dobson Units versus UV-Index using a spreadsheet or graph paper.

Place Dobson Units on the X-axis and UV-Index on the Y-axis.

• Graph #2 Latitude versus Temperature using a spreadsheet or graph paper.

Place Latitude on the X-axis and Temperature on the Y-axis.
 
• Graph #3 Latitude versus Dobson Units using a spreadsheet or graph paper.

Place Latitude on the X-axis and Dobson Units on the Y-axis.
 
• Graph #4 Dobson Units versus Temperature using a spreadsheet or graph paper.

Place Dobson Units on the X-axis and Temperature on the Y-axis.

• Graph #5 UV-Index versus Temperature using a spreadsheet or graph paper.

Place UV-Index on the X-axis and Temperature on the Y-axis.

Graph #1

1. Draw a straight line of best-fit.  Extend that line to cross the Y-axis.
2. Write an algebraic equation to describe this line.
3. Write in your journal the relationship you see between Ozone (Dobson Units) and UV-Index.

1. Draw a line to describe the data.  (If graphing using a spreadsheet, apply a polynomial trend line)
2. Write in your journal any apparent relationship between Latitude and Temperature.
3. How do predict the trend line will change six months from now?

1. Draw a line to describe the data.  (If graphing using a spreadsheet, apply a polynomial trend line)
2. Write in your journal any apparent relationship between Latitude and Ozone (Dobson Units).
3. Does your data show any signs of an ozone hole?
4. Compare graphs #2 and #3.

1. Write in your journal any apparent relationship between Ozone (Dobson Units) and Temperature.
2. Compare Graphs #3 and #4, write in your journal how the two graphs are related.

1. Write in your journal any apparent relationship between UV-Index and Temperature.
2. Compare Graphs #4 and #5, write in your journal how the two graphs are related.
3. Explain any outliers in your data using the weather information from your OZONE DATA TABLE.

• Use the information from the Real Time Data Pre-Activity.
• Using Graph #1 predict what the UV-Index is in your hometown.
• Using your algebraic equation, calculate the UV-Index in your hometown
• Use the Real Time Data UV Forecast to check if your prediction is correct.
• If your prediction was not correct, can you explain sources of error that may have occured.