THE MAINTENANCE OF THE EARTH'S CLIMATE SYSTEM

Honors Arts and Sciences 220

Fall 2002

Prof. David Battisti


A Climate Model: Model B plus the Carbon Cycle


1. Introduction

2. Basic Equations

3. Functional Relationships

4. Feedbacks

5. Exploration with the Climate System Model

To run the model, click here


1. Introduction

The purpose of this model is to provide a tool for you to build your intuition of how the climate system works, to explore how it responds to perturbations, and to examine how sensitive it is to the various feedbacks we have discussed in class.

The climate system model is basically our "energy balance" Model B, plus a model for the emissivity of the atmosphere based on the amount of water vapor and carbon dioxide it contains. Unline Model B, the climate system model includes some of the key feedbacks in the climate system, such as ice-albedo, cloud-albedo, and water vapor-temperature. It also takes into account anthropogenic carbon release and carbon uptake by the biosphere and oceans.

The climate system is always in radiative equilibrium in the model, i.e. the solar energy absorbed at the surface is equal to the longwave energy emitted to space by the atmosphere and ground. However, the exact nature of the energy balance (i.e. the emissivity, albedo, and surface temperature) may vary from year to year in response to changes in the external forcings and changes in the model itself. This feature will allow you to determine not only the "equilibrium" climate under a new combination of the model parameters, but also how long it will take the system to reach this new state.

When you are working with the model, keep in mind that the difference between the global mean surface temperature today versus the last Ice Age maximum is thought to be about 5 degrees Celsius.


2. Basic Equations

As in Model B, the climate system model uses the average ground temperature, Tg , as a proxy for the state of the climate system, where the climate system is approximated by the following equation (which should look very familiar to you):
  So*(1-alpha) 
 ---------------------  =  Tg^4                                             (1)
 4*sigma*(1-epsilon/2) 
Here, So is the solar constant (which you can control directly), and alpha and epsilon are the albedo and bulk emissivity of the atmosphere, respectively.

We will (rather crudely) treat epsilon as the sum of the emissivities of the two major greenhouse gases, water vapor (H2O) and carbon dioxide (CO2):

  epsilon = epsilon{CO2} + epsilon{H2O}                                     (2)
The values for the emissivities of these gases, and for the planetary albedo, are determined by the functional relationships and feedbacks discussed below.


3. Functional Relationships

3a. Carbon Model

We will assume that changes in the carbon concentration in the atmosphere occur on time scales that are much longer than the time it takes for the climate system to reach radiative equilibrium. This is an "O.K." assumption. The amount of carbon in the atmosphere, C , is determined by the following model:
  change in C
 --------------  =  F - gamma*(C-Co) - beta*(C-Co)                          (3)
 change in time
where Co is the preindustrial amount of carbon in the atmosphere (which is set at 280 ppm for all runs), F is an anthropogenic input rate, gamma determines the carbon flux between the atmosphere and the ocean based on the difference between C and Co, and beta determines the carbon flux between the atmosphere and the biosphere. In this model, all of the anthropogenic carbon release must be accounted for by either uptake by the biosphere or an increase in the amount of carbon in the atmosphere.

You have direct control over Co and F in the model, and beta will be discussed below in section 4c (for now you can assume it's a constant). The uptake by the ocean (gamma) is assumed to be independent of everything except (C-Co). Note that the model does not account for the uptake of carbon by the carbon-silicate cycle, because this occurs on extremely long timescales. Also note that if C = Co AND the anthropogenic forcing is zero, then the concentration of carbon in the atmosphere will remain fixed (at Co).

3b. Carbon Dioxide Emissivity

The amount of carbon dioxide in the atmosphere is basically C from equation (3), multiplied by a proportionality constant. The emissivity of the atmosphere due to this amount of carbon dioxide, epsilon{CO2} , is determined with the following equation:
  epsilon{CO2} =  A + B*ln(C/Co)                                            (4)
Here A and B are just numbers, and all the other symbols have been defined above. The coefficients A and B are different from the numbers you were given in homework #3, because here we are treating carbon dioxide and water vapor independently. Note that equation (4), unlike equations (2) and (3), is strongly nonlinear, so that a small increase in carbon could lead to a small increase in emissivity or a very large increase in emissivity, depending on the current value of epsilon{CO2}.

3c. Water Vapor Emissivity

As we have discussed in class, the amount of water vapor in the air and the surface temperature are related through a positive feedback loop, rather than a purely functional relationship. So we will discuss the emissivity of water vapor as a feedback in section 4a.

Note that the carbon dioxide emissivity, as determined by equations (2), (3), and (4) above, is independent of the ground temperature. However, if the biological carbon sink depends on the surface temperature (i.e. if beta is a function of temperature), then carbon dioxide will also be part of a feedback loop in the model. This option is discussed in section 4c.


4. Feedbacks

4a. Water Vapor - Temperature

This feedback results because both the evaporation rate and the amount of water vapor that air can hold (the saturation vapor pressure) increase nonlinearly with temperature, so the amount of water vapor in the atmosphere is strongly related to the ground temperature, especially over the oceans. On the other hand, water vapor is a very potent greenhouse gas, so more water vapor will lead to a higher atmospheric emissivity and a warmer surface. This in turn would lead to more evaporation... and so on. This strong positive feedback loop is represented in the model by having the emissivity of water vapor, epsilon{H2O}, treated as a function of the ground temperature.
  epsilon{H2O} = function of Tg                                             (5)
The details of this relationship are rather messy, although you should know from your first lab assignment that the greenhouse effect of water vapor is basically constant at low temperatures, increases rapidly at intermediate temperatures, and reaches a maximum value at around 30 degrees Celsius. Two things occur at high temperatures which cause the relationship to break down: the atmosphere becomes "optically saturated" with respect to water vapor, and the high concentration of water vapor in the atmosphere causes clouds to form. The first effect is accounted for in our "function of Tg" above; the second effect is accounted for in the "cloud-albedo feedback" below.

4b. Ice - Albedo and Cloud - Albedo

The fraction of the globe covered by ice, snow, and clouds is an important characteristic in defining the climate because the tops of these features have much higher albedos (0.6-0.9) than either sea water (0.06) or land (0.05-0.3). Hence, increasing the fraction of the globe that is covered by ice, snow, or clouds decreases the energy absorbed by the planet.

However, the amount ice (or snow) cover and cloud cover depends on the ground temperature, with lower temperatures leading to higher snow and ice cover, and higher temperatures leading to higher cloud cover (due to enhanced evaporation, as discussed above). Thus the albedo of the planet is a function of its surface temperature, with the highest albedo values corresponding to temperatures that are significantly warmer or colder than the present value.

We will model these feedbacks as follows:

  alpha = function of Tg                                                    (6)
Here, alpha will increase if the ground temperature gets lower or higher than its present value. It is assumed that the albedo will increase gradually at first, then get stronger as the ground temperature deviates farther from the present value, until at really cold or really warm temperatures, the planetary albedo reaches its maximum possible value (representing either an ice-covered or cloud-covered planet).

In addition to specifying the "baseline" planetary albedo in the model, you may choose to have one, both, or neither of these feedbacks active. The exact functional form of the albedo versus the surface temperature will be displayed when you run the model.

4c. The Carbon Uptake by the Biosphere

The net uptake by the biosphere depends on many things. Here we will just assume (in a very naive way) that the rate at which carbon is removed from the atmosphere by the biosphere depends on temperature and the amount of excess carbon (relative to a preindustrial equilibrium value of 280 ppm) that is in the atmosphere. We have already accounted for the second relationship in equation (3), where the carbon flux into the biosphere is just proportional to the difference between C and Co. Here we will make it possible for the proportionality constant in equation (3), beta, to depend on temperature:
  beta = function of Tg                                                     (7)
In this function, the removal rate of carbon by the biosphere approaches zero when the temperature gets either extremely warm or extremely cold, and the optimal climate for the biota (hence, the highest removal rate) is for temperatures near 15 degrees Celcius. (Note that we have "swept a lot under the rug" with this feedback.) The exact nature of the "function of Tg" will become apparent when you use the model, and you can choose to have this "beta" feedback inactive, active but weak, or active and strong.


5. Exploration with the Climate System Model

To run the climate system model you will have to submit a form from the webpage. This form will include your selection for the values of key parameters (So, Co, F, etc.) and your choice of model functions (e.g. albedo type, biota type, etc.).

The results will be displayed on your screen. A new page will come up with eight plots on it. The first four plots (all in a line) are just to remind you of the exact nature of the climate model that you're working with and the values for the solar constant and other parameters that you have chosen. The next four plots show the temporal evolution of some key variables in your climate model. These include the evolution of ground temperature, atmospheric CO_2 concentration, albedo and emissivity, and the rate which carbon is being removed by the biosphere.

To run the model, click here

Be patient ! The model needs to do several calculations, plot the results, and then send them back to you. This can take a few minutes. Also, if you perform more than one run, make sure that you hit the "reload" button after the results are displayed, to make sure that your web browser has loaded the values from your most recent model run.


Special thanks go to Marc Michelsen and David Warren for helping put the model on the web.
David Battisti
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