Simulation models are commonly developed by scientists to evaluate scenarios that show potential developments of the Earth system in the past, present and future. In order to provide adequate information systems that facilitate access to simulation models to a broad, heterogeneous user community, the deployment of such models on web servers provides a technical fundament.

Multiple simulation models in the context of river floods have been developed at the German Research Centre for Geosciences, such as hydraulic models, dyke breach models or multi-factorial loss models like FLEMO. FLEMO is a typical example of a scientific result that directly led to an algorithm representing the logic of a simulation model. It is, however, a-priori not applicable by third-party users. Several of these models, such as FLEMO, were integrated into a service infrastructure by encapsulating the algorithm with a web processing service that is open for registered users. Hereby, different integration concepts for hydrological simulation models into web-based management systems have been considered. All concepts were developed to fulfil the requirements of heterogeneous user groups, ranging from scientists to re-insurance companies. The complexity of the algorithm and process chains in the background was hidden behind user-specific interfaces. While one part of integration concepts focuses specifically on functionality and usability for single simulation models or static process chains, a conceptual use case has been developed to outline a way towards more generic service composition based on a workflow management system. As the implementations in prototypical real-world systems were performed in inter-disciplinary groups of experts in Hydrology and Information Technology, a profound design of the system based on sophisticated technology could be realized.

Die Einbindung der FLEMO-Modellfamilie in ein Webportal erfolgte in Kooperation mit der Vernetzungsplattform Naturkatastrophen NaDiNe (Natural Disasters Networking Platform), eine Aktivität des Helmholtz-Earth Observation Systems EOS. FLEMO wird registrierten Nutzern unter dieser  Adresse bereitgestellt.