Publications in Scientific Journals:
G. Blöschl, C. Reszler, J. Komma:
"A spatially distributed flash flood forecasting model";
Environmental Modelling & Software,
23
(2007),
4;
464
- 478.
English abstract:
This paper presents a distributed model that is in operational use for forecasting flash floods in northern Austria. The main challenge in developing the model was parameter identification which was addressed by a modelling strategy that involved a model structure defined at the model element scale and multi-source model identification. The model represents runoff generation on a grid basis and lumped routing in the river reaches. Ensemble Kalman Filtering is used to update the model states (grid soil moisture) based on observed runoff. The forecast errors as a function of forecast lead time are evaluated for a number of major events in the 622 km2 Kamp catchment and range from 10% to 30% for 4-24 h lead times, respectively.
Keywords:
Forecasting; Parameter identification; Kalman Filter; Floods; Distributed modelling; Stream routing; Model accuracy; Dominant processes concept
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.envsoft.2007.06.010
Related Projects:
Project Head Günter Blöschl:
Hochwasservorhersagesystem für den Kamp
Created from the Publication Database of the Vienna University of Technology.