Climate emulators are simple reduced-form models often used to explain the output of more complex climate change models. The latter model the complex interactions between various components of the climate, such as the atmosphere, oceans, land surface, and ice. Their high computational costs, however, render these models unsuitable for studying the feedback between the planetary system and human behaviour. Hence the academic community often resorts to simpler, appropriately calibrated, reduced form models.
The climate emulators found in Integrated assessment models (IAMs) such as DICE typically consist of two submodels: a temperature model, which determines how the CO2 concentration in the atmosphere translates into an increasing average temperature, and a carbon cycle model, which predicts how atmospheric CO2 concentrations evolve as a result of biogeochemical processes.