Part 4—Generate Temperature Maps Using EVA

Step 1 Launch EdGCM

  1. Launch EdGCM by double clicking on the icon in the EdGCM folder, the application will load. The toolbar window will appear. This toolbar window is the controller for the software. The buttons will change depending on your active window.
    Toolbar Window.
    toolbar alone

  2. In this window, choose Modern Predicted SST in the toolbar Run List. This is the baseline for the model. In this simulation scientists have used our present climatic conditions in order to demonstrate the future climate trends with no change in present greenhouse gases or other variables, such as solar luminosity. This is the baseline for comparison with the experimental IPCC_A1_FI simulation in which greenhouse gases and other conditions have been changed according to the IPCC A1_FI scenario. These scenarios are described in detail in Part 1.

Step 2 Generate a Map

    toolbar with Analyze Output highlighted Toolbar window

  1. Launch the Analyze Output feature of the EdGCM, by clicking on the button on the top of the toolbar. Or use the drop down window menu.

  2. Click on the maps tab.


Step 3 Prepare Output for Analysis

  1. On the left hand side of the Analyze Output window, choose the last five years by clicking on the last 5 button.last 5 years button Alternately, manually select the years of your choice. Note: Using a group of five or more years helps to smooth out some variables that may differ a lot from year to year.

  2. Once the years have been selected, click the Average button at the bottom of the list. average button This creates an average of all variables from the last 5 years of the simulation. A window opens as the files are "post-processed". This step may take up to a minute to complete. Note: if this step has already been completed the button may be grayed out (in-active)

  3. When complete, the year range 2096-2100 will appear in the Averages list in the lower right corner of the window. Make sure this is selected by single clicking on it.

  4. In the center section of the Analyze Output window select from the following variables by clicking on the checkbox next to each of the following:
  5. Check the Monthly Seasonal and Annual check boxes at the bottom of the Analyze Output window.
    window with Monthly, Seasonal and Annual all checked
  6. Click on Extract button, you will see a window open, which shows that another post-processing program is running.
  7. Under View Images, select the 2096-2100ij.nc file, then click the View button at the bottom right of the window.view button
  8. EdGCM's Visualization Application, EVA, will launch. Ignore it for the moment.

  9. Repeat numbers 1-6 from above for IPCC_A1FI_CO2 simulation.
  10. Now both files are listed in the EVA data browser window under the file header.
Repeat the same steps as described in steps 2 and 3, after selecting the IPCC_A1FI_CO2 simulation in the Run List.

Step 4 Generate Temperature Maps

  1. Use the shift key to select the Modern_PredictedSST and the IPCC_A1FI_CO2 files in the left column of the EVA data browser. Then select Surface Air Temperature in the center and Annual in the right column.
    EVA data browser highlighted
    EVA data browser with selections.

  2. Click the Plot All button. The software will generate two maps:
    Modern_PredictedSST Surface Air Temperature and IPCC_A1FI_CO2 Surface Air Temperature.
    Sample maps showing predicted surface air temperature for the year 2100 using each simulation's unique data.
    surface air temp map pair


  3. The maps need to be interpolated, or smoothed. To do this click the "interpolate" check box in the toolbar next to each map (it is near the top of the toolbar)
    Interpolation is a method of smoothing data points. According to the Merriam Webster Dictionary, "It allows one to estimate values of (data or a function) between two known values."

Step 5 Finalize the Maps

    map toolbar hightlighted Map toolbar highlighted
  1. Click on the Projection menu under map heading in on the toolbar. Use the pulldown menu to change the projection to Mollweide.
    Mollweide map projections are a type of equal-area map where the central meridian and latitude lines are straight. They are generally used for global maps. The advantage of this type of projection is that it accurately portrays area.
  2. Change the range shown on the Color bar /scale so that the minimum is -45C and the maximum is +35C on both maps. This will give you the same end points on the color bars of both plots.
    This is a good scientific practice since it makes it easier to compare the maps to each other if various colors on each map represent the same scale values.
  3. Add overlay modern with USA for both maps. Optional:Explore other overlay options.
  4. When you are done, save your maps to use in the next part of the lesson.
    Completed Maps.
    surface air temp map pair
  5. Answer the following questions about your maps:
    • What areas of both maps are the warmest? coolest?
    • Describe how the two maps are alike and different. In particular, focus on the Polar and equatorial regions.
    • The equatorial regions are the warmest, Polar regions coolest. In the IPCC_A1FI map the equatorial regions are several degrees warmer than in the control map. The Polar regions have also warmed more in the IPCC_A1FI map. The change between the maps is subtle, but significant.


Step 6 How will Global Warming gases Effect Temperatures?

  1. In EVA's Data Browser, subtract the control run, Modern_predictedSST, from the climate change experiment (IPCC_A1FI_CO2) using the differencing drop down menu.
    EVA data browser highlighted Another method to do differencing is to right click (PC) or control click (mac) on the IPCC_A1FI_CO2 map that you just generated. In the menu that appears, choose differencing and me- X (IPCC_A1FI_CO2 – modern predictedSST).

  2. Adjust the Color Scale.
  3. Use the map toolbar and click on the colorbar to choose a new color scale, such as panapoly_diff.pa1, click center on zero. If necessary "flip" the color scale using a checkbox in the map's toolbar to make the hottest temperatures appear in red.
    It is best to use a colorbar with
    • white in the center (to represent no change),
    • a strong contrast from left side to right side, and
    • a color-variable connection that to most people would be logical (e.g. red = warm, blue = cold).
    • In the case of the temperature difference map, set it up so that people can quickly see the main qualitative point. This difference map shows the Earth in 2100 where the temperature differences in all area show warming everywhere, with no areas cooling.

  4. Answer the following questions about your map:
    • What regions show the greatest increase in temperature?
    • Do any regions show a decrease in temperature?
    • Why do you suppose the greatest temperature increases are over the continents rather than the oceans?
    • The greatest increases in temperature are over the land masses and the Polar regions. No regions show a decrease in temperature. The oceans are able to absorb heat and act as cooling system.
    Difference map with color adjusted.
    completed temp anomaly map



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