4.2 Article

A dynamic runoff co-efficient to improve flash flood early warning in Europe: evaluation on the 2013 central European floods in Germany

Journal

METEOROLOGICAL APPLICATIONS
Volume 22, Issue 3, Pages 410-418

Publisher

WILEY-BLACKWELL
DOI: 10.1002/met.1469

Keywords

flash flood; runoff co-efficient; early warning; probabilistic forecast; ungauged basins

Ask authors/readers for more resources

Flash floods are listed among the deadliest and costliest weather-driven hazard worldwide. Yet, only a few systems to predict flash floods run operationally in Europe. Recently, the European Precipitation Index based on Climatology (EPIC) was developed and then set up for daily flash flood early warning for an area covering most of the continent. EPIC is a purely rainfall-driven indicator based on the prediction of statistical threshold exceedence of the upstream precipitation to provide early warning up to 5days in advance. Its main assumption is that flash floods are directly and solely related to extreme accumulations of upstream precipitation. It does not take into account any geo-factors such as slope and land use or processes such as initial soil moisture, which can have a significant impact on the triggering of such events. This study proposes an enhanced version of EPIC through a dynamic and distributed runoff co-efficient which depends on the initial soil moisture. This co-efficient, namely the European Runoff Index based on Climatology (ERIC), is used to weigh each contribution of the upstream precipitation proportionally to the initial soil moisture. The evaluation based on 1year of daily runs proved that ERIC reaches a threat score of 0.5 if it forecasts a probability >35% of exceeding the 20year return period of upstream runoff. This result is 0.16 higher than for EPIC. A case study of the flash flooding affecting central Europe in June 2013 demonstrated the ability of ERIC to successfully detect and locate the affected areas.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available