MAGICC/SCENGEN: Model for the Assessment of Greenhouse-gas Induced Climate Change, A Regional Climate Scenario Generator

MAGICC and SCENGEN are coupled, user-friendly interactive software suites that allow users to investigate future climate change and its uncertainties at both the global-mean and regional levels. MAGICC carries through calculations at the global-mean level using the same upwelling-diffusion, energy-balance climate model that has been and is employed by IPCC. SCENGEN uses these results, together with spatially detailed results from the CMIP3/AR4 archive of AOGCMs, to produce spatially detailed information on future changes in temperature, precipitation and MSLP, changes in their variability, and a range of other statistics.

MAGICC consists of a suite of coupled gas-cycle, climate and ice-melt models integrated into a single software package. The software allows the user to determine changes in greenhouse-gas concentrations, global-mean surface air temperature, and sea level resulting from anthropogenic emissions.

SCENGEN constructs a range of geographically explicit climate change projections for the globe using the results from MAGICC together with AOGCM climate change information from the CMIP3/AR4 archive. To produce these projections, SCENGEN adds the climate change information to observed baseline climate data (1980-99 means).

In running MAGICC/SCENGEN, the user can intervene in the design of the global or regional climate change scenario by selecting:

  • the greenhouse gas and sulfur dioxide emissions scenarios
  • the values for a limited set of climate model parameters in MAGICC that are important in determining the effects of uncertainties in the carbon cycle, the magnitude of aerosol forcing, the overall sensitivity of the climate system to external forcing, and ocean mixing rate
  • the future time period for which results are displayed (out to 2400)
  • the AOGCMs that are averaged to produce the climate change pattern information
  • an area or region for spatial averaging of climate change results



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Resource Types:

  • Climate science
  • Modeling tool


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