Atmospheric composition and climate/Data uncertainties limitations: Difference between revisions
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{{ComponentDataUncertaintyAndLimitationsTemplate | {{ComponentDataUncertaintyAndLimitationsTemplate | ||
|Reference=Forster et al., 2007; Randall et al., 2007; Müller et al., | |Reference=Forster et al., 2007; Randall et al., 2007; Müller et al., in preparation; | ||
|Description=<h2>Data, uncertainties and limitations</h2> | |Description=<h2>Data, uncertainties and limitations</h2> | ||
===Data=== | ===Data=== | ||
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Although the use of an AOGCM is not workable for integrated assessments, some IAMs use an earth system model of intermediate complexity for climate modelling. This allows for more detail and consistency in climate change impacts and feedbacks, but is fixed to one representation of the system, not accounting for the large uncertainties. | Although the use of an AOGCM is not workable for integrated assessments, some IAMs use an earth system model of intermediate complexity for climate modelling. This allows for more detail and consistency in climate change impacts and feedbacks, but is fixed to one representation of the system, not accounting for the large uncertainties. | ||
Using the simple climate model MAGICC 6.0 enables research on the consequences of parameter values outside current emulated AOGCMs. For example, the impact of high climate sensitivity values beyond the range found in AOGCMs (2 to 4.5 °C) can be studied ([[Müller et al., | Using the simple climate model MAGICC 6.0 enables research on the consequences of parameter values outside current emulated AOGCMs. For example, the impact of high climate sensitivity values beyond the range found in AOGCMs (2 to 4.5 °C) can be studied ([[Müller et al., in preparation]]). This extends the range of uncertainty covered by the IMAGE model in projections of future climate change and the related impacts. | ||
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Revision as of 11:13, 12 May 2014
Parts of Atmospheric composition and climate/Data uncertainties limitations
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