2.4

Graphing, Mapping and Analysis Techniques


Single Line Graphs

Single line graphs are one method used to show temperature predictions. readings, and temperatures over time. Temperature is plotted on the y-axis and time on the x-axis. The single line makes it easy to calculate mean, average, minimums and maximums over different time periods for one site. The single line may represent data from one small specific site, a province , all of Canada, or the entire ocean surface of the planet.


Source: Environment Canada  

ACTIVITY 1

  1. Find the best-fit line.
  2. In which decade did the minimum temperature occur?
  3. In which decade did the maximum temperature occur?

Several single lines ! Single lines for temperature change predictions are easier to combine with changes predicted for other factors, for example, carbon dioxide concentrations, sun spot frequency. This method allows patterns to be examined for interacting factors, concurrent cycles, and seasonality. The combined graph may yield more information than a number of separate graphs. In the graph below, projections using the various Canadian climate models for global mean surface temperature can be compared using a single line for each model.

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Source: Environment Canada

ACTIVITY 2

Note the location of the present year on the x axis graph. This divides the past decades from the future. All models use the same data from the past to model the future. The first century shows models using directly recorded data to determine how accurate the models are. The tested models then predict the annual mean surface temperature in 0C. Plotting several single lines on this one graph allows comparison of the models.

  1. Find the best-fit line.
  2. Change to a graph that shows the range of possible results in different way.
Isolines "Iso' means equal as seen in an isosceles triangles with two equal sides. The isolines show the range of temperature change by joining points that have the same temperature change predictions on a map of the world. In thenext figure, the colours represent the annual mean change of temperature . Global mean surface temperatures for 1961-1990 data are the basis of the 2071-2100 projections emphasizing regional and economic factors.

Global Mean Surface Temperature Projections

 

Source: IPCC Climate Change (2001) Synthesis Report Working Group 1, 11, 111 www.ipcc.ch.

ACTIVITY 3

  1. What similar points do isolines join on contour maps? Weather maps?
  2. Describe the projected global pattern of change in one sentence.
  3. What change is predicted for Ontario and your hometown.?
  4. What causes the North American contour lines to dip lower over Ontario?

Yet another way to represent data!

In the next figure, squares reflect changes in temperature relative to the model's global mean.

DJF=winter months

JJA=summer months

A2 and B2 are the scenarios used. See Section 2.3 for an explanation of these scenarios.

   

Source: IPCC Climate Change (2001) Synthesis Report Working Group 1, 11, 111 www.ipcc.ch.

ACTIVITY 4

  1. a)What range of latitudes has the greatest change in global mean temperature range predicted on the world map?
    b) What is the temperature increase predicted (oC) for this area?
  2. a) What area has less than average warming in global mean temperature projected for both winter and summer?
    b) What is the temperature increase predicted (oC) for this area? Use proportional dots to represent similar changes in conditions.

The next figure shows yet another way to represent data. Check the legend and note that the dots represent a temperature trend. This type of visual representation of data provides a quick over view of trends using proportional dots on a world map.

Annual Temperature and Precipitation Trends 1976 to 2000 in oC

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Source: IPCC Climate Change (2001) Synthesis Report Working Group 1, 11, 111 www.ipcc.ch.

ACTIVITY 5

  1. Which area of the world shows the greatest heating trends? cooling trends?
  2. Where is the greatest area that had no change in temperature for this period.
  3. Name one area of the world which surprises or differs from the over all trend in nearby areas. Note: this method of representation also allows for a quick comparison for general statements.
  4. Look at all four maps, starting with the earliest. Write one sentence which describes the trend shown from 1901 to 2000. 




Source: IPCC Climate Change (2001) Synthesis Report Working Group 1, 11, 111 www.ipcc.ch.

Statistical analysis for the futures - the bell curve! The mean and variance of temperature are analyzed for the probability of occurrence. The bell curve shifts are plotted for 3 different variables. Note the use of blue and red to indicate temperature.

Source: IPCC Climate Change (2001) Synthesis Report Working Group 1, 11, 111 www.ipcc.ch.

ACTIVITY 6

  1. What are the effects on extreme temperatures when the mean increases?
  2. What are the effects on extreme temperatures when the variance increases?
  3. What are the effects on extreme temperatures when both (a) and (b) increase?