Paper
26 October 2004 Evaluation of river flow in Europe over the last four decades using ERA40
Ben T. Gouweleeuw, Jutta Thielen, Ad de Roo, Hannah Cloke, Johan Van der Knijff, Gian Franchello
Author Affiliations +
Abstract
ERA-40 stands for ECMWF Re Analysis and refers to the rerun of the European Centre of Medium Range Weather Forecast (ECMWF) Global Circulation model for the period September 1957- August 2002 utilizing all state-of-the-art information and satellite data input presently available. Here, a selection of the ERA-40 atmospheric output data at the surface is used to force the catchment hydrological model LISFLOOD to simulate historic river flows for the whole of Europe on a 5km grid resolution. Once evaluated against observed rainfall and point flow data, the output constitutes an extensive and coherent 40+ year database of pan-European calibrated river flow time series, providing a wealth of information and potential for a range of evaluation purposes. For example, statistical analyses could serve to detect flooding and/or drying frequency trends. Alternatively, the output dataset could be used to assess flood alert levels in a consistent and uniform manner at any point for any river in Europe. The set would also be extremely useful as a basis for scenario studies, investigating the impact of policy and decision making such as de/aforestation and water reservoir management on flow regimes. Further, in the context of the general scientific consensus of an expected increasing trend in extreme events, the database may serve as a resource of information for extrapolated future scenarios.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ben T. Gouweleeuw, Jutta Thielen, Ad de Roo, Hannah Cloke, Johan Van der Knijff, and Gian Franchello "Evaluation of river flow in Europe over the last four decades using ERA40", Proc. SPIE 5568, Remote Sensing for Agriculture, Ecosystems, and Hydrology VI, (26 October 2004); https://doi.org/10.1117/12.567732
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KEYWORDS
Atmospheric modeling

Data modeling

Floods

Databases

Polonium

Solar radiation models

Meteorology

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