...
In the Collaboratorium, C-LEARN is the primary climate model. It takes greenhouse gas emission and land use deforestation/aforestation targets as inputs and provides outputs such as atmospheric concentrations of carbon dioxide (CO2) and increase in global mean temperature (GMT).
...
Model attributes
Model type For example, General circulation model (GCM) or Integrated assessment model (IAM) or other (followed by acronym)
Geographic scope Extent of geographic coverage
Geographic resolution Level of geographic disaggregation
Start date Earliest date when model runs can begin
End date Latest date when model runs can end
Time step Number of years between discrete Quick running climate model (get exact text from scientific review)
Geographic scope Global
Geographic resolution 3 regions or emission reduction targets, global for deforestation/aforestation targets
Start date 2000
End date 2100
Time step 1 year
Approach for addressing risk/uncertainty Brief phrase describing how model deals with risk/uncertainty e.g. stochastic modeling approach, estimations of uncertainty based on variances in input values for discrete variables etc. Model outputs to not show level of uncertainty associated with simulation
Key modules and linkages between them
C-LEARN/C-ROADS is comprised of six sub-models:
- Regional CO2 emissions
- Other greenhouse gasses (CH4 and N2O)
- Land use
- Carbon cycle
- Global Average Surface Temperature
- Sea level rise
Model diagram
! Note: Include only if multiple modules, and if so, include next major header, “Variables and key assumptions,” for each
Model diagram Insert model diagram if one is available
Note: Format image file as: !imagefile.gif/jpg!
Variables and key assumptions
Module: Regional CO2 emissions
Description
Input variables
Key assumptions Explain in words and include equations if available
Output variables
Module: Other greenhouse gasses (CH4 and N2O)
Description
Input variables
Key assumptions Explain in words and include equations if available
Output variables
Module: Land use
Description
Input variables
Key assumptions Explain in words and include equations if available
Output variables
Module: Carbon cycle
Description
Input variables
Key assumptions Explain in words and include equations if available
Output variables
Module: Global Average Surface Temperature
Description
Input variables
Key assumptions Explain in words and include equations if available
Output variables
Module: Sea level rise
Description
Input variables
Key assumptions Explain in words and include equations if available
Output variables Note: As noted above, if there are multiple modules, include section like this for each, with module name at start of header, followed by a colon.
Return to About the Climate Collaboratorium