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Mauna Loa CO2 data

The Mauna Loa observatory in Hawaii, 11,135ft above sea level, has been continuously collecting data related to climate change since the 1950s. (Image from Christopher Michel licensed under CC-BY 2.0 downloaded from flikr).

The graph below shows the monthly mean CO_2 concentration data from Mauna Loa. This is known as the Keeling Curve, named after Charles David Keeling who started the monitoring program. The Keeling Curve is the black curve in the image, which removes seasonal variation. (Image and data from NOAA)

Main interesting question about this data

Is the Keeling curve linear or exponential? How can we tell?

What students will find:

Keeling curve is not linear

Keeling curve is not exponential

Log plot or plot of ln(CO_2) to see the “super exponential” growth

The fact that the plot of ln(CO_2) is still concave up (plot below) means that the data cannot be fit well by an exponential (if f(t) is exponential, then the plot of ln(f(t)) is a line).

In the graph below the slope of the line is the continuous growth rate: 0.41% ppm/yr.

It is not unreasonable to assume that growth factor, instead of constant, is growing linearly

The model in the plot below is given by P_0(b+mt)^t=311(1.0017+0.0000341t)^t

Finding this model is more involved. It requires plotting the growth factors between each year and looking for a trend line, then tweaking the parameters until a good fit is obtained. Plot of growth factors is shown below:

There are other non super-exponential models

One “almost exponential” one is given by: g(t)= C+Ba^t=267.277+48.703(1.01823)^t

A quadratic one is given by: h(t)=0.013t^2+0.8055t+315.5219

Getting the data for your students

Students can get the data, or you can give it to them:

Teaching Resources

More Climate Change teaching resources

See our main MCWG climate change site.

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