Accurate streamflow predictions are crucial for mitigating flood damage and addressing operational flood scenarios. In recent years, sequential data assimilation methods have drawn attention due to their potential to handle explicitly the various sources of uncertainty in hydrologic models. In this study, we implement two ensemble-based sequential data assimilation methods for streamflow foreca...

In June/July 2009 the weather in the Czech Republic was influenced by a 12 days lasting baric low located over Mediterranean, which resulted in a sequence of many flash foods. The total damage was estimated to be about 200 mil. EUR and 15 people died. Although the flash flood is considered as hardly predictable phenomena, first efforts in flash floods forecasting have been already done [1]. Som...

Floods are among the most powerful forces on the planet. Therefore, the need for a system that predict and warn about the flood occurrence is required. The combination of several approaches into a single system was our concern to design and develop an intelligent system that meets the demands of our research. After many studies, we decided to work with multi-agent systems to benefit of its adva...

The Australian Bureau of Meteorology is the lead national agency for flood forecasting and warning services in Australia, working in partnership with agencies at the State and Local Government levels. These services cover river basins with response times ranging from 6-12 hours through to very large basins with flood travel times of the order of weeks. Flash flood warning services are also prov...

The use of radar in Quantitative Precipitation Estimation (QPE) for radar-rainfall measurement is significantly beneficial. Radar has advantages in terms of high spatial and temporal condition in rainfall measurement and also forecasting. In Malaysia, radar application in QPE is still new and needs to be explored. This paper focuses on the Z/R derivation works of radarrainfall estimation based ...

This paper deals with flood routing in rivers using neural networks. The unsteady river flow may be formulated in terms of two one-dimensional partial differential equations. These are the Saint Venant flow continuity and dynamic equations. Several methods of solution of these equations are known. These methods are based upon characteristics of equations, finite difference, finite element and f...

This paper presents a prototype of flood forecasting system based on Grid technologies. The system consists of workflow system for executing simulation cascade of meteorological, hydrological and hydraulic models, data management system for storing and accessing different computed and measured data, and web portals as user interfaces. The whole system is tied together by Grid technology and is ...

Many satellite soil moisture products are today globally available in near real-time. These observations are of paramount importance for enhancing the understanding of the hydrological cycle and particularly useful for flood forecasting purposes. In recent decades, several studies assimilated satellite soil moisture observations into rainfall-runoff models to improve their flood forecasting ski...