| What 
              is the focus of this module? 
               In this 
              module students examine humankind's impact on the global environment, 
              identify possible sources of global warming, evaluate conflicting 
              evidence, and recommend a course of action.  What 
              are some interrelated teaching opportunities? While the 
              "Earth on Fire" module offers students a global perspective 
              on the issues and causes surrounding global warming, it also stresses 
              mathematical modeling and uncertainty, and explores issues of economics, 
              politics, world resources, 
              and social justice as they relate to the emission of greenhouse 
              gasses. What 
              is the compelling problem that students will face in this module? 
              Is the cumulative weight of human activities changing the earth's 
              climate and undermining the environment? In order to make an informed 
              recommendation, students must collect data in the form of measurements 
              taken through satellite imagery. Students graph and analyze the 
              data, then investigate how to reduce emissions fairly for all nations 
              without damaging the world economy.
 What topics and issues will students 
              encounter as they work through this module? The 
              first part of the module asks students to calculate the amount of 
              carbon dioxide emitted by the fires in Yellowstone National Park. 
              This tasks leads to topics such as greenhouse gases, solar output, 
              and the earth's orbit.
 
 What is the role 
              of remote sensing in this module? 
              The remote-sensing activities give your students the data 
              they need in order to evaluate the significance of proposed sources 
              of CO2 in accounting for the CO2 
              concentration data in the Mauna Loa graph. These sources of CO2 
              include industrial pollution, volcanic eruptions, seasonal changes 
              in vegetation, and biomass burning (from both natural and human 
              causes).
 
 The first remote-sensing activity in this module involves monitoring 
              the release of carbon dioxide from a specific event--the 
              Yellowstone fires. Remote sensing is used to analyze burned 
              areas, determine how much biomass was converted into CO2, 
              determine how much biomass is created during a growing season and 
              hence how much CO2 is removed from the atmosphere, 
              and to illustrate and emphasize points made in the text. The remaining 
              activities examine the increase of atmospheric CO2:
  
              "Seasonal 
                Vegetation Changes?" asks whether global seasonal changes 
                in vegetation can account for the observed changes in atmospheric 
                CO2 concentration. "Fossil Fuel 
                Burning?" has students calculate the amount of CO2 
                released to the atmosphere in parts per million by fossil fuel 
                burning and compare it to the actual increase in atmospheric CO2. "Fit CO2 
                Curve?" asks students to curve-fit a graph. This simple modeling 
                activity develops a curve-fitting equation, which duplicates the 
                data curve of the
              Mauna 
                Loa CO2 plot. Once this equation is developed, 
                predicting a future point on the curve is as easy as plugging 
                in the new x-value and calculating the new y-value.  "Balance 
                the Carbon Cycle?" uses the data in the
              carbon 
                cycle diagram to have students balance the carbon cycle.
              Since 
                the carbon cycle is a closed system, all carbon must be accounted 
                for; none can disappear. Students are asked to consider whether 
                sinks are growing or shrinking. For instance, from the Mauna Loa 
                CO2 spreadsheet data, they can calculate 
                the increase in atmospheric carbon with a high degree of certainty.  "Uncertainty 
                in CO2 Data?" asks students to compare 
                measurement error with uncertainty. Every measurement has some 
                uncertainty associated with it due to the imprecision of the measuring 
                instrument. To minimize uncertainty, scientists measure several 
                times. Doing so also helps to eliminate true errors made when 
                taking or reading measurements.  Preparation 
              Checklist--have you thought of everything? |