Developing geoprocessing services for a hydrological model application

Spatial data infrastructures support the most common requirements of spatial information users –discovery, access, and visual overlay of datasets– however specialized users such as hydrological scientists require more advanced services for capturing, analyzing and processing huge volumes of data. To shift from locally-processed complex tasks to on-line, distributed service-data offers, we present a web-based prototype using distributed geoprocessing services for snowmelt hydrological and environmental models. This prototype is being solely built on open source components and technologies following a SDI-based architecture. We illustrate our web-based prototype in a GMES-funded scenario for predicting runoff in Alpine basins.