Effect of the Sun's Energy on the Ocean and Atmosphere
Task 1: Collect Data and Produce an Image
To extract dataset and produce an image, you will need to use
the ERBE Data Visualizer (EDV).
Data Sampling Technique
Due to the constraints of time and money, it is impractical and
impossible for scientists to collect data everywhere. So they try to
get a smaller piece of the whole population that has the same overall
characteristics as the larger population. This is called an unbiased or
representative sample. It is one that has been selected without any
prejudice. Most often a random selection is preferred.
We will use the same technique by following the procedure below.
Each research team should select one latitude zone to analyze. If
you are working alone, pick only one region at a time. Choose from the
following seven zones:
- Equatorial Region 10°N to 10°S
- Low Latitudes 10°N to 30°N
- Low Latitudes 10°S to 30°S
- Mid Latitudes 30°N to 50°N
- Mid Latitudes 30°S to 50°S
- High Latitudes 50°N to 70°N
- High Latitudes 50°S to 70°S
Each team member will contribute by compiling the averages for the
energy absorbed and the energy emitted for several months
of the year. The whole team will then use this data to create a monthly
and annual database for their designated locations or regions e.g.
northern low latitudes, southern low latitudes. The teams will contribute
their monthly and annual analysis to the entire class to develop the
global picture of radiative balance.
If you are using a
JavaScript enabled Web browser (such as Netscape Navigator version 2.0
or higher or Internet Explorer version 3.0 or higher), click the button
below:
If your browser does not support JavaScript, get your EDV instructions
here.
When you are done extracting your dataset,
return to this page to answer the questions below and continue your
mission.
Now, begin collecting your
data using the ERBE Data Visualizer below. (The ERBE Data
Visualizer applet was written by Jose Alburquerque).
Questions
- Do you think it makes a difference whether you pick the odd boxes
or the even boxes when you sample the data?
- Would there be a large error in the monthly mean since you are not
selecting every box?
Answers
