Uncertainty analysis of an integrated greenhouse effect model

R. Zapert; J. A. Filar; P. S. Gaertner

Uncertainty analysis of an integrated greenhouse effect model

R. Zapert, J. A. Filar, P. S. Gaertner

Research output: Contribution to journal › Article › peer-review

Abstract

This paper investigates the use of a stochastic dynamical system approach to assessing uncertainty of integrated global climate change models. It uses the formulation of controlled stochastic dynamical systems applied to integrated global change model. The application of this approach is illustrated with the implementation of an uncertainty analysis module of the IMAGE 1.0 (Integrated Model to Assess the Greenhouse Effect. Windows for IMAGE provides a framework for linking global climate model such as IMAGE with regional models for the impacts of climate change and forecast analysis tools. -from Authors

Original language	English
Pages (from-to)	3-10
Number of pages	8
Journal	WIT Transactions on Ecology and the Environment
Volume	6
Publication status	Published - 1994
Externally published	Yes

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abstract = "This paper investigates the use of a stochastic dynamical system approach to assessing uncertainty of integrated global climate change models. It uses the formulation of controlled stochastic dynamical systems applied to integrated global change model. The application of this approach is illustrated with the implementation of an uncertainty analysis module of the IMAGE 1.0 (Integrated Model to Assess the Greenhouse Effect. Windows for IMAGE provides a framework for linking global climate model such as IMAGE with regional models for the impacts of climate change and forecast analysis tools. -from Authors",

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AB - This paper investigates the use of a stochastic dynamical system approach to assessing uncertainty of integrated global climate change models. It uses the formulation of controlled stochastic dynamical systems applied to integrated global change model. The application of this approach is illustrated with the implementation of an uncertainty analysis module of the IMAGE 1.0 (Integrated Model to Assess the Greenhouse Effect. Windows for IMAGE provides a framework for linking global climate model such as IMAGE with regional models for the impacts of climate change and forecast analysis tools. -from Authors

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Uncertainty analysis of an integrated greenhouse effect model

Abstract

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