Operational medium range flood forecasting systems are increasingly moving towards the
adoption of ensembles of numerical weather predictions (NWP), known as ensemble …

Data assimilation (DA) holds considerable potential for improving hydrologic predictions as
demonstrated in numerous research studies. However, advances in hydrologic DA research …

Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

This paper presents the development of the European Flood Alert System (EFAS), which
aims at increasing preparedness for floods in trans-national European river basins by …

Ensemble forecasting is increasingly accepted as a powerful tool to improve early warnings
for high-impact weather. Recently, ensembles combining forecasts from different systems …

The TIGGE Project and Its Achievements in: Bulletin of the American Meteorological Society
Volume 97 Issue 1 (2016) Jump to Content Jump to Main Navigation Logo Logo Logo Logo …

Brown, JD, 2013: Verification of temperature, precipitation and streamflow forecasts from the
NWS Hydrologic Ensemble Forecast Service (HEFS): Medium-range forecasts with forcing …

Unknown future precipitation is the dominant source of uncertainty for many streamflow
forecasts. Numerical weather prediction (NWP) models can be used to generate quantitative …

In order to quantify total error affecting hydrological models and predictions, we must
explicitly recognize errors in input data, model structure, model parameters and validation …

Traditional surveillance systems for observing water levels are often complex, costly, and
time-consuming. In this paper, we developed a low-cost unmanned surveillance system …