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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Access to Document

https://www.witpress.com/elibrary/wit-transactions-on-ecology-and-the-environment/6/11467Licence: In Copyright

Cite this

@article{3c88f290bfeb4850b4f1ffcf07831bc0,

title = "Uncertainty analysis of an integrated greenhouse effect model",

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",

author = "R. Zapert and Filar, \{J. A.\} and Gaertner, \{P. S.\}",

year = "1994",

language = "English",

volume = "6",

pages = "3--10",

journal = "WIT Transactions on Ecology and the Environment",

issn = "1743-3541",

publisher = "WIT Press",

}

TY - JOUR

T1 - Uncertainty analysis of an integrated greenhouse effect model

AU - Zapert, R.

AU - Filar, J. A.

AU - Gaertner, P. S.

PY - 1994

Y1 - 1994

N2 - 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

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

UR - https://www.scopus.com/pages/publications/0028554104

M3 - Article

AN - SCOPUS:0028554104

SN - 1743-3541

VL - 6

SP - 3

EP - 10

JO - WIT Transactions on Ecology and the Environment

JF - WIT Transactions on Ecology and the Environment

ER -

Uncertainty analysis of an integrated greenhouse effect model

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this