A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Improving the evaluation of hydrological multi-model forecast performance in the Upper Danube Catchment
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.
Improving the evaluation of hydrological multi-model forecast performance in the Upper Danube Catchment
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.
Improving the evaluation of hydrological multi-model forecast performance in the Upper Danube Catchment
Bogner, K. (author) / Cloke, H. L. (author) / Pappenberger, F. (author) / De Roo, A. (author) / Thielen, J. (author)
International Journal of River Basin Management ; 10 ; 1-12
2012-03-01
12 pages
Article (Journal)
Electronic Resource
English
Floods , forecasting , quality , verification , cost-loss
Improving the structure of a hydrological model to forecast catchment response to intense rainfall
| DOAJ | 2024
Uncertainty Assessment of the SMOS Validation in the Upper Danube Catchment
| Online Contents | 2012
Three decades of hydrological cooperation between the states in the Danube Catchment (1971-2000)
| Online Contents | 2001