University of Pittsburgh researchers have developed the CyberWater project, an open data and model integration framework designed to address complex environmental and water problems. This innovative system allows diverse computational models to be integrated without modifying the original models or requiring coding. The framework facilitates interdisciplinary research by enabling seamless integration of online data and computational models, making it an invaluable tool for studying complex processes such as climate change.
Description
The CyberWater framework provides a systematic method for integrating diverse computational models developed in different domains. The key features of this framework include the ability to integrate models without requiring any modifications to the original models, eliminating the need for coding, and not requiring access to the source codes of individual models. Additionally, there is no need for recompilation when integrating new models. The framework uses model agents to integrate individual models into a scientific workflow environment. Users can generate model agents through configuration rather than coding, allowing for efficient and effective model integration. This approach simplifies the process of coupling models and retrieving online sensing data, enabling comprehensive simulations and investigations across disciplines.
Applications
• Environmental and water studies
• Climate change research
• Interdisciplinary team research
• Complex process simulations
Advantages
This technology offers a novel and efficient approach to integrating diverse computational models, eliminating the need for model modification, coding, and recompilation. The framework's ability to seamlessly integrate online data with coupled models enhances the accuracy and comprehensiveness of simulations. It supports interdisciplinary research by providing a flexible and scalable solution for complex environmental and water studies.
Invention Readiness
The CyberWater framework is currently at the prototype stage, with validated performance. The system has been tested and demonstrated to effectively integrate diverse computational models and online data sources. Further development includes expanding the framework's capabilities and applications to other domains and enhancing user accessibility.
IP Status
Copyright
