Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6380833 | Advances in Water Resources | 2016 | 10 Pages |
Abstract
The framework is tested in two data-dense sites in Germany and one data-sparse environment in Turkey. Results show a potential improvement of the lead time performance of streamflow forecasts by using perfect time series of state variables generated by the simulation of the conceptual rainfall-runoff model itself. The framework is also tested using new operational data products from the Satellite Application Facility on Support to Operational Hydrology and Water Management (H-SAF) of EUMETSAT. This study is the first application of H-SAF products to hydrological forecasting systems and it verifies their added value. Results from assimilating H-SAF observations lead to a slight reduction of the streamflow forecast skill in all three cases compared to the assimilation of streamflow data only. On the other hand, the forecast skill of soil moisture shows a significant improvement.
Keywords
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Earth-Surface Processes
Authors
Rodolfo Alvarado Montero, Dirk Schwanenberg, Peter Krahe, Dmytro Lisniak, Aynur Sensoy, A. Arda Sorman, Bulut Akkol,