Multi-parameter uncertainty analysis of a bifurcation point

Parameter uncertainty analysis of climate models has become a standard approach for model validation and testing their sensitivity. Here we present a novel approach that allows one to estimate the robustness of a bifurcation point in a multi-parameter space. In this study we investigate a box model...

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Main Authors: B. Knopf, M. Flechsig, K. Zickfeld
Format: Article
Language:English
Published: Copernicus Publications 2006-01-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/13/531/2006/npg-13-531-2006.pdf
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author B. Knopf
M. Flechsig
K. Zickfeld
author_facet B. Knopf
M. Flechsig
K. Zickfeld
author_sort B. Knopf
collection DOAJ
description Parameter uncertainty analysis of climate models has become a standard approach for model validation and testing their sensitivity. Here we present a novel approach that allows one to estimate the robustness of a bifurcation point in a multi-parameter space. In this study we investigate a box model of the Indian summer monsoon that exhibits a saddle-node bifurcation against those parameters that govern the heat balance of the system. The bifurcation brings about a change from a wet summer monsoon regime to a regime that is characterised by low precipitation. To analyse the robustness of the bifurcation point itself and its location in parameter space, we perform a multi-parameter uncertainty analysis by applying qualitative, Monte Carlo and deterministic methods that are provided by a multi-run simulation environment. <P> Our results show that the occurrence of the bifurcation point is robust over a wide range of parameter values. The position of the bifurcation, however, is found to be sensitive on these specific parameter choices.
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spelling doaj.art-77b7f2a6e9a44588be5951ca16deae552022-12-22T01:51:18ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462006-01-01135531540Multi-parameter uncertainty analysis of a bifurcation pointB. KnopfM. FlechsigK. ZickfeldParameter uncertainty analysis of climate models has become a standard approach for model validation and testing their sensitivity. Here we present a novel approach that allows one to estimate the robustness of a bifurcation point in a multi-parameter space. In this study we investigate a box model of the Indian summer monsoon that exhibits a saddle-node bifurcation against those parameters that govern the heat balance of the system. The bifurcation brings about a change from a wet summer monsoon regime to a regime that is characterised by low precipitation. To analyse the robustness of the bifurcation point itself and its location in parameter space, we perform a multi-parameter uncertainty analysis by applying qualitative, Monte Carlo and deterministic methods that are provided by a multi-run simulation environment. <P> Our results show that the occurrence of the bifurcation point is robust over a wide range of parameter values. The position of the bifurcation, however, is found to be sensitive on these specific parameter choices.http://www.nonlin-processes-geophys.net/13/531/2006/npg-13-531-2006.pdf
spellingShingle B. Knopf
M. Flechsig
K. Zickfeld
Multi-parameter uncertainty analysis of a bifurcation point
Nonlinear Processes in Geophysics
title Multi-parameter uncertainty analysis of a bifurcation point
title_full Multi-parameter uncertainty analysis of a bifurcation point
title_fullStr Multi-parameter uncertainty analysis of a bifurcation point
title_full_unstemmed Multi-parameter uncertainty analysis of a bifurcation point
title_short Multi-parameter uncertainty analysis of a bifurcation point
title_sort multi parameter uncertainty analysis of a bifurcation point
url http://www.nonlin-processes-geophys.net/13/531/2006/npg-13-531-2006.pdf
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