Why regional studies are needed in the development of full-scale integrated assessment modelling of global change processes

Abstract Full-scale integrated assessment models (lAMs) allow many components of the global climate change problem to be examined in one framework. The chief advantage of the IAM approach over less complete modelling frameworks is that the socio-economic and environmental consequences of policy choices aimed at abating or adapting to climate change can be evaluated in their totality. However, the highly aggregate functional forms that lAMs currently embed are lacking in sufficient regional and sectoral detail to be totally credible. In this paper, ten reasons why regional studies are needed in support of the development of full-scale lAMs are given. A strategic cyclical scaling exercise involving regional and global integrated modelling frameworks is proposed.

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