Abstract:
Research in hydroinformatics extensively studies approaches on reducing the complexity of modeling processes. Input data, the CFD-processing and visualization of results ...Show MoreMetadata
Abstract:
Research in hydroinformatics extensively studies approaches on reducing the complexity of modeling processes. Input data, the CFD-processing and visualization of results are combined in various ways into so-called integrated modeling frameworks or management systems. Community Modeling Systems (CMS) provide users with a concentrated view on data handling and coupling resources and models, in particular. Unfortunately, most web-based hydroinformatics environments lack consistent, standardized documentation of the modeling process. A reusability or reproducibility outside a CMS is only given for single elements like standardized webservices or metadata descriptions for datasets. Using elements of Spatial Data Infrastructures (SDIs), we propose a concept for a metadata-driven architecture for Computational Fluid Dynamics simulations and to integrate model descriptions into SDIs. We illustrate the abilities of such a metadata-based system with two use cases an extensive outlook.
Published in: 2013 OCEANS - San Diego
Date of Conference: 23-27 September 2013
Date Added to IEEE Xplore: 17 February 2014
Electronic ISBN:978-0-933957-40-4
Print ISSN: 0197-7385