This is an implementation of the PAGE09 model in the Julia programming language. It was created from the equations in Hope (2011), and then compared against the original Excel version of PAGE09. Additional background information about the PAGE model can be found in Hope (2006).
The documentation for MimiPAGE2009.jl can be accessed here.
You need to install julia 1.1 or newer to run this model.
You first need to connect your julia installation with the central Mimi registry of Mimi models. This central registry is like a catalogue of models that use Mimi that is maintained by the Mimi project. To add this registry, run the following command at the julia package REPL: `
pkg> registry add https://github.com/mimiframework/MimiRegistry.git
You only need to run this command once on a computer.
The next step is to install MimiPAGE2009.jl itself. You need to run the following command at the julia package REPL:
pkg> add MimiPAGE2009
You probably also want to install the Mimi package into your julia environment, so that you can use some of the tools in there:
pkg> add Mimi
The model uses the Mimi framework and it is highly recommended to read the Mimi documentation first to understand the code structure. For starter code on running the model just once, see the code in the file examples/main.jl
.
The basic way to access a copy of the default MimiPAGE2009 model is the following:
using MimiPAGE2009
m = MimiPAGE2009.get_model()
run(m)
Here is an example of computing the social cost of carbon with MimiPAGE2009. Note that the units of the returned value are dollars $/ton CO2.
using Mimi
using MimiPAGE2009
# Get the social cost of carbon in year 2020 from the default MimiPAGE2009 model:
scc = MimiPAGE2009.compute_scc(year = 2020)
# You can also compute the SCC from a modified version of a MimiPAGE2009 model:
m = MimiPAGE2009.get_model() # Get the default version of the MimiPAGE2009 model
update_param!(m, :tcr_transientresponse, 3) # Try a higher transient climate response value
scc = MimiPAGE2009.compute_scc(m, year=2020) # compute the scc from the modified model by passing it as the first argument to compute_scc
The first argument to the compute_scc
function is a MimiPAGE2009 model, and it is an optional argument. If no model is provided, the default MimiPAGE2009 model will be used.
There are also other keyword arguments available to compute_scc
. Note that the user must specify a year
for the SCC calculation, but the rest of the keyword arguments have default values.
compute_scc(m = get_model(), # if no model provided, will use the default MimiPAGE2009 model
year = nothing, # user must specify an emission year for the SCC calculation
eta = nothing, # eta parameter for ramsey discounting representing the elasticity of marginal utility. If nothing is provided, the value of parameter :emuc_utiliyconvexity in the MimiPAGE2009 model is unchanged, which has a default value of 1.1666666667.
prtp = nothing # pure rate of time preference parameter used for discounting. If nothing is provided, the value of parameter :ptp_timepreference in the MimiPAGE2009 model is unchanged, which has a default value of 1.0333333333%.
)
There is an additional function for computing the SCC that also returns the MarginalModel that was used to compute it. It returns these two values as a NamedTuple of the form (scc=scc, mm=mm). The same keyword arguments from the compute_scc
function are available for the compute_scc_mm
function. Example:
using Mimi
using MimiPAGE2009
result = MimiPAGE2009.compute_scc_mm(year=2030, eta=0, prtp=0.025)
result.scc # returns the computed SCC value
result.mm # returns the Mimi MarginalModel
marginal_temp = result.mm[:ClimateTemperature, :rt_realizedtemperature] # marginal results from the marginal model can be accessed like this
Hope, Chris. The PAGE09 integrated assessment model: A technical description. Cambridge Judge Business School Working Paper, 2011, 4(11). Hope, Chris. The marginal impact of CO2 from PAGE2002: An integrated assessment model incorporating the IPCC's five reasons for concern. Integrated Assessment, 2006, 6(1): 19‐56.