Burning Fossil Fuels

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How Does the Earth System Respond to the Burning of Fossil Fuels?

[Image: rise in CO2] Humanity is currently conducting an enormous experiment with the Earth. By the middle of this century we are set to have doubled the natural carbon dioxide concentration. The results should be interesting. It is debatable however, to say the least, whether it is wise to conduct such experiments on the only habitable planet available to us.

There are several serious consequences of pumping vast amounts of carbon dioxide into our atmosphere. Some of these consequences can be explored with the JModels: short-term global warming, ocean acidification and a long-term legacy of elevated CO2. On this page, the focus is on examining how the Earth System will recover from the perturbation. Carbonate compensation is a stabilising feedback, but how exactly will it interact with the CO2 perturbation? Will it compensate against anthropogenic CO2 to bring the system back to equilibrium?

Start the carbon model and then click on the button to 'Add Fossil Fuels'. Select the option to add the fossil fuels from a sinewave and then choose to add a total of 4000 Gt C (one estimate of the total amount of recoverable fossil fuels) over a period of 400 years. Now 'Apply and Close' your fossil fuel selections and then return to the main window. Click on 'Set Run Duration' and increase it to 20,000 years. Now run the model. It should take several minutes, but the model will accelerate for the later parts of the run due to the use of an adaptive timestep.

If you examine the three pages of output plots you will notice that atmospheric CO2 declines rapidly over the next few centuries as it gets incorporated into the deep ocean. After this time, it starts a slower decline, which is now driven by the process of carbonate compensation. Look at the second of the two pages of plots and examine the behaviour of the lysocline through time. Notice how it shallows dramatically due to ocean acidification. The bottom left panel shows how the total output of carbon (burial of organic carbon and CaCO3) becomes greatly depressed following the fossil fuel inputs. It falls to much lower values than the total input of carbon (in rivers). Carbonate compensation thereby causes a input-output imbalance and thus causes the ocean to increase its stocks of dissolved inorganic carbon (page 1 of plots), by preventing burial of CaCO3 on the seafloor.

To investigate the specific impact of carbonate compensation on the recovery, click on 'Save Simulation' and save the output results to a data file. Now repeat the run, but this time before running click on 'Model Parameters', go to the 'CaCO3' tab and select 'Fixed Lysocline'. This prevents carbonate compensation from operating. Re-run the model, save the results as before, then load both data files into Excel (or some other package) and plot out the atmospheric CO2 trajectories next to each other. The difference is due to carbonate compensation. Also compare the trajectories for (1) deep-box carbonate ion, (2) deep-box calcite saturation state, (3) deep-box DIC concentration.

Carbonate compensation is a negative feedback process that stabilises the ocean's saturation state with respect to calcium carbonate. Note how, in the run including carbonate compensation, the ocean's carbonate ion concentration and saturation states are returned to their original, pre-industrial values. Carbonate compensation is not, however, a direct regulator of atmospheric CO2 or of ocean DIC. Note how the increase in ocean DIC caused by its absorption of fossil fuel CO2 is in fact exacerbated by carbonate compensation as it prevents the ocean losing DIC through CaCO3 burial. Note also how atmospheric CO2 does not return to its pre-industrial levels.

20,000 years is not be long enough for carbonate compensation to return to equilibrium. If you have time then run the model for longer. You will see that even after hundreds of thousands of years atmospheric CO2 is still significantly elevated over the levels before fossil fuel emissions.

This website is in its early stages of use. If you find it difficult to run a model in the way described, or find any other problems, your feedback will help us improve the site for future users.

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