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

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Abstract

Full-scale Integrated assessment models (IAMs) 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 IAMs 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 IAMs are given. A strategic cyclical scaling exercise involving regional and global integrated modelling frameworks is proposed.

Original languageEnglish (US)
Pages (from-to)337-356
Number of pages20
JournalGlobal Environmental Change
Volume7
Issue number4
DOIs
StatePublished - Jan 1 1997

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global change
geography
modeling
climate change
totality
scaling
global climate
economics

All Science Journal Classification (ASJC) codes

  • Global and Planetary Change
  • Geography, Planning and Development
  • Ecology
  • Management, Monitoring, Policy and Law

Cite this

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abstract = "Full-scale Integrated assessment models (IAMs) 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 IAMs 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 IAMs are given. A strategic cyclical scaling exercise involving regional and global integrated modelling frameworks is proposed.",
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