In this paper we present design and development of the semantic grid services for the flood forecasting simulations. We will highlight the corresponding architecture and the process of service annotation, discovery and composition in the project K-WfGrid [12]. We will describe in detail the challenges of the flood-forecasting application and corresponding design and development of the service o...

The need to effectively integrate decision-making tasks together with knowledge representation and inference procedures has caused recent research efforts towards the integration of decision support systems with knowledge-based techniques. In the present paper we explore the potential benefits of such an integration in the area of statistical forecasting. In an attempt to clarify the elements o...

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 ...

There are a number of factors that lead to nonlinearity between precipitation anomalies and flood hazard; this nonlinearity is a pertinent issue for applications that use a precipitation forecast as a proxy for imminent flood hazard. We assessed the degree of this nonlinearity for the first time using a recently developed global-scale hydrological model driven by the ERA-Interim/Land precipitat...

A regional-scale weather model is used to determine the potential for flood forecasting based on modelpredicted rainfall. Extreme precipitation and flooding events are a significant concern in central Texas, due to both the high occurrence and severity of flooding in the area. However, many current regional prediction models do not provide sufficient accuracy at the watershed scale necessary fo...