Delft-FEWS approach - test-community
Delft-FEWS is a sophisticated collection of modules designed for building an operational water management system, customised to the specific requirements of an individual organisation. Originally designed for hydrological forecasting and warning, Delft-FEWS is now also being applied for day-to-day operational management, real-time control and forecasting and warning in other disciplines, i.e. water quality and navigation.
The philosophy of the system is to provide an open shell for managing the data handling and forecasting process. Delft-FEWS incorporates a wide range of general data handling utilities, while providing an open interface to any external calculation model. The modular and highly configurable nature of Delft-FEWS allows it to be used effectively both in simple systems and in highly complex systems utilising the full range of available models. Delft-FEWS can either be deployed in a stand-alone, manually driven environment, or in a fully automated distributed client-server environment.
At Deltares a team of hydrologists, software developers and ICT experts jointly works on the continuous improvement and expansion of Delft-FEWS. New developments are defined and implemented in close collaboration with the community and all new developments are made available to the whole community by means of two annual releases. The Delft-FEWS software is freely available through this portal for demonstration and research purposes. Consultants who want to use Delft-FEWS commercially or end-users can contact us for a license agreement and further information.
Deltares also offers a range of support and maintenance services related to the Delft-FEWS software. Depending on the responsible organisation and the particular requirements for the operational (forecasting / water management) system, the support and maintenance requirements may differ significantly. More information can be found under services.
Every year Deltares organises Delft-FEWS courses for beginning users as well as advanced users.