Keywords
Integrated Environmental Modeling; Ontology; Metadata; Interoperability; Reusability
Location
Session A2: Interoperability, Reusability, and Integrated Systems
Start Date
11-7-2016 9:10 AM
End Date
11-7-2016 9:30 AM
Abstract
Many modeling frameworks compartmentalize science via individual models that link sets of small components to create larger modeling workflows. Developing integrated watershed models increasingly requires coupling multidisciplinary, independent models, as well as collaboration between scientific communities, since component-based modeling can integrate models from different disciplines. Integrated Environmental Modeling (IEM) systems focus on transferring information between components by capturing a conceptual site model; establishing local metadata standards for input/output of models and databases; managing data flow between models and throughout the system; facilitating quality control of data exchanges (e.g., checking units, unit conversions, transfers between software languages); warning and error handling; and coordinating sensitivity/uncertainty analyses. Although many computational software systems facilitate communication between, and execution of, components, there are no common approaches, protocols, or standards for turn-key linkages between software systems and models, especially if modifying components is not the intent. Using a standard ontology, this paper reviews how models can be described for discovery, understanding, evaluation, access, and implementation to facilitate interoperability and reusability.
Included in
Civil Engineering Commons, Data Storage Systems Commons, Environmental Engineering Commons, Hydraulic Engineering Commons, Other Civil and Environmental Engineering Commons
Documenting Models for Interoperability and Reusability
Session A2: Interoperability, Reusability, and Integrated Systems
Many modeling frameworks compartmentalize science via individual models that link sets of small components to create larger modeling workflows. Developing integrated watershed models increasingly requires coupling multidisciplinary, independent models, as well as collaboration between scientific communities, since component-based modeling can integrate models from different disciplines. Integrated Environmental Modeling (IEM) systems focus on transferring information between components by capturing a conceptual site model; establishing local metadata standards for input/output of models and databases; managing data flow between models and throughout the system; facilitating quality control of data exchanges (e.g., checking units, unit conversions, transfers between software languages); warning and error handling; and coordinating sensitivity/uncertainty analyses. Although many computational software systems facilitate communication between, and execution of, components, there are no common approaches, protocols, or standards for turn-key linkages between software systems and models, especially if modifying components is not the intent. Using a standard ontology, this paper reviews how models can be described for discovery, understanding, evaluation, access, and implementation to facilitate interoperability and reusability.
