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Observational data and scale dependent parameterisations: explorations using a virtual hydrological reality.

Bashford, Kathy and Beven, Keith J. and Young, Peter C. (2002) Observational data and scale dependent parameterisations: explorations using a virtual hydrological reality. Hydrological Processes, 16 (2). pp. 293-312. ISSN 0885-6087

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Abstract

The use of small-scale process descriptions at larger scales has been identified as a major problem in hydrological modelling. An alternative is to use measurements taken at a larger scale, such as remote sensing data, and to develop process descriptions at that scale. A hypothetical catchment area, or virtual hydrological reality dataset has been generated to explore the value of different types of data in model structure and parameter identification. Though only an approximation to the natural responses of the catchment, this virtual reality can be used to explore the use of observational series that would not normally be available. A data-based mechanistic approach was used to model evapotranspiration from 1 km data, as though they were available from remote sensing. The resulting parameterization is of a similar form to an evaporative fraction model. It is an example of the type of parameterization that could be used to describe the land surface, without estimation of effective parameters from small-scale measurements, and avoiding overparameterization.

Item Type: Article
Journal or Publication Title: Hydrological Processes
Uncontrolled Keywords: data-based mechanistic ; hydrological modelling ; remote sensing ; scale dependent
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Departments: Faculty of Science and Technology > Lancaster Environment Centre
ID Code: 21443
Deposited By: ep_ss_importer
Deposited On: 14 Jan 2009 11:07
Refereed?: Yes
Published?: Published
Last Modified: 26 Jul 2012 15:47
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/21443

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