Towards integrated environmental models of everywhere:Uncertainty, data and modelling as a learning process

Beven, Keith (2007) Towards integrated environmental models of everywhere:Uncertainty, data and modelling as a learning process. Hydrology and Earth System Sciences, 11 (1). pp. 460-467. ISSN 1027-5606

Full text not available from this repository.

Abstract

Developing integrated environmental models of everywhere such as are demanded by the requirements of, for example, implementing the Water Framework Directive in Europe, is constrained by the limitations of current understanding and data availability. The possibility of such models raises questions about system design requirements to allow modelling as a learning and data assimilation process in the representation of places, which might well be treated as active objects in such a system. Uncertainty in model predictions not only poses issues about the value of different types of data in characterising places and constraining predictive uncertainty but also about how best to present the pedigree of such uncertain predictions to users and decision-makers.

Item Type:
Journal Article
Journal or Publication Title:
Hydrology and Earth System Sciences
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1900/1901
Subjects:
ID Code:
128762
Deposited By:
Deposited On:
02 Nov 2018 09:28
Refereed?:
Yes
Published?:
Published
Last Modified:
23 Sep 2020 04:46