Improving the evaluation of hydrological multi-model forecast performance in the Upper Danube Catchment

Full text not archived in this repository.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Bogner, K., Cloke, H. L. orcid id iconORCID: https://orcid.org/0000-0002-1472-868X, Pappenberger, F., De Roo, A. and Thielen, J. (2012) Improving the evaluation of hydrological multi-model forecast performance in the Upper Danube Catchment. International Journal of River Basin Management, 10 (1). pp. 1-12. ISSN 1814-2060 doi: 10.1080/15715124.2011.625359

Abstract/Summary

Medium range flood forecasting activities, driven by various meteorological forecasts ranging from high resolution deterministic forecasts to low spatial resolution ensemble prediction systems, share a major challenge in the appropriateness and design of performance measures. In this paper possible limitations of some traditional hydrological and meteorological prediction quality and verification measures are identified. Some simple modifications are applied in order to circumvent the problem of the autocorrelation dominating river discharge time-series and in order to create a benchmark model enabling the decision makers to evaluate the forecast quality and the model quality. Although the performance period is quite short the advantage of a simple cost-loss function as a measure of forecast quality can be demonstrated.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/35027
Identification Number/DOI 10.1080/15715124.2011.625359
Refereed Yes
Divisions No Reading authors. Back catalogue items
Interdisciplinary Research Centres (IDRCs) > Walker Institute
Science > School of Archaeology, Geography and Environmental Science > Earth Systems Science
Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science
Publisher Taylor & Francis on behalf of IAHR, INBO and IAHS
Download/View statistics View download statistics for this item

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar