The MAGICC/SCENGEN 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. In running MAGICC/SCENGEN, the user can intervene in the design of the global or regional climate change scenario in the following ways: By selecting and/or specifying the greenhouse gas and sulfur dioxide emissions scenarios. By defining 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. By specifying the future time period for which results are displayed (out to 2400). By specifying the AOGCMs that are averaged to produce the climate change pattern information. By selecting an area or region for spatial averaging of climate change results.

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References in zbMATH (referenced in 1 article )

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  1. Robin Hankin: Introducing BACCO, an R Bundle for Bayesian Analysis of Computer Code Output (2005) not zbMATH