Facilitating open data and open model integration with generic parameter input file generators in the CyberWater framework
Effective data and model integration is crucial for exploring scientific questions in hydrology and other geosciences. The increasing heterogeneity and complexity of data and models pose integration challenges. CyberWater addresses these with an open-data and open-modeling framework. Featuring GUI-based workflows, it includes Data Agents for accessing diverse online data sources and a Generic Model Agent Toolkit for seamless, code-free model integration. This study introduces the Static Parameter Agent suite, a novel toolkit designed to streamline the creation and organization of parameter files required for various models. The toolkit enables users to efficiently and automatically generate files on demand, minimizing the time-consuming and error-prone manual preparation of complex parameter files. It further logs all changes to parameter values across each model simulation, ensuring a reproducible end-to-end process. It connects seamlessly with Geographic Information System (GIS) engines like GRASS GIS and has been tested on models including VIC, DHSVM, and CASA-CNP. • A novel toolkit for automatic and on-demand preparation of parameter files for models in geosciences is presented. • This generic toolkit facilitates parameter file creation for diverse models, enabling a reproducible end-to-end process. • This toolkit integrates with CyberWater's Generic Model Agent Toolkit to streamline model integration in the framework. • CyberWater can now access all the GIS commands offered by GRASS GIS through the GISEngine interface. • The new GIS capabilities enhance the Static Parameter Agent Toolkit, enabling the creation of diverse files for models.
Authors
- Ryan Michael Young (ORCID: https://orcid.org/0000-0002-5108-0261)
- Ranran Chen (ORCID: https://orcid.org/0000-0002-6743-9216)
- Yao Liang (ORCID: https://orcid.org/0000-0002-7353-7242)
- Xu Liang (ORCID: https://orcid.org/0000-0001-7397-2490)
- Daniel Luna (ORCID: https://orcid.org/0000-0002-2866-9668)
- Ahmed Sheba (ORCID: https://orcid.org/0000-0001-9311-1102)
Institutions
- University of Pittsburgh (US)
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- Environmental Modelling & Software
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1016/j.envsoft.2024.106266
- Citations
- 3
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 3.15
Funders
- National Science Foundation
- University of Pittsburgh