Decision Support For Flow In Porous Media: Optimal Sampling For Data Assimilation
Price
Free (open access)
Transaction
Volume
38
Pages
10
Published
1999
Size
911 kb
Paper DOI
10.2495/CMWR990191
Copyright
WIT Press
Author(s)
R. Ghanem
Abstract
. A crucial point in any integrated assessment project is the development of reduced models of the various components being integrated. These reduced models are necessary as they permit the management of very complex systems in an acceptable time frame. More importantly though, reduced models should be designed so as to permit the various components of a complex system to interface by exchanging their inputs and outputs. In designing these models, it is essential to determine beforehand which inputs and outputs encapsulate the important characteristics of each subsystem vis-a-vis the task at hand. Given the levels of uncertainty in the systems associated with global change in general, and environmental systems in particular, a probabilistic framework is a most suitable context for carrying out the model
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