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1 The Role of Prediction in Paleonclimatology
Pages 19-25

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From page 21...
... Initially, these explanations are likely to be ad hoc in nature, verbal in form, and therefore difficult to pin down and test. Gradually, as data accumulate and as physical insights into causal mechanisms improve, it may be possible to transform such qualitative explanations into a numerical model of the natural system in which specific responses (system output)
From page 23...
... Such models of intermediate complexity predict the behavior of only a small number of climatic variables. At bbe other end of the range of complexity, more of the underlying physics is explicitly captured in differential equations, and fewer processes are treated statistically.
From page 24...
... The rerpome function has a mean time constant of 17,000 years and a ratio Of 4:1 between the time constants of glacial growth and mellow. Lower curve shows the System response to an arbitrary step input (Imhrie and Imbrie, 1980, copyright 1980 by the American Association for the Advancement of Science)
From page 25...
... Here it is open tempting to explain a given climatic change in terms of a correlated change in some particular aspect of the geometry of continents and oceans—ignoring other aspects of that geometry and implicidy denying the possibility that changes in atmospheric chemistry, in solar output, or in other climatic boundary conditions may be involved. In the rapidly developing and challenging field of paleoclimatology, there is clearly an urgent need to test our ideas about the underlying physical mechanisms by developing quantitative, predictive models.


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