Casati, B. (2000) Sampling the sensitivity of climate models. Masters thesis, University of Oxford.
The sensitivity of climate models in particular, and nonlinear models in general, is a topic of great interest. Quantifying this sensitivity by brute force numerical exploration is often computationally untractable due to the large number of parameters involved, and it is widely hoped that a small number of `effective parameters' (linear combinations of the physical parameters) may dominate the model response and hence ease the task of sensitivity analysis.
A new method for identifying this `effective dimension' of the model response is introduced and applied to two simple models. General issues of identifying the response are discussed. No low dimensional response is found in the more complex model considered.
|Item Type:||Thesis (Masters)|
|Subjects:||A - C > Biology and other natural sciences|
D - G > Dynamical systems and ergodic theory
|Research Groups:||Oxford Centre for Industrial and Applied Mathematics|
|Deposited By:||Eprints Administrator|
|Deposited On:||03 Mar 2004|
|Last Modified:||20 Jul 2009 14:12|
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