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CyberWater -- An open and sustainable framework for diverse data and model integration with provenance and access to HPC
Conference proceeding   Open access

CyberWater -- An open and sustainable framework for diverse data and model integration with provenance and access to HPC

Xu Liang, Yao Liang, Daniel Luna, Ranran Chen, Feng Li, Ryan Young, Drew Bieger, Levi Connelly, Melody Hammel, Anthony Castronova, …
07/12/2022
DOI: 10.5281/zenodo.6824392
url
https://doi.org/10.5281/zenodo.6824392View
Published (Version of record) Open Access

Abstract

This project develops CyberWater, a community-driven open and sustainable modeling software framework that integrates a wide range of models and datasets across disparate temporal and spatial scales, to address a high priority need for water research communities: interoperability among a wide variety of data sources and models, and integration of different computational models into water research communities. The CyberWater framework allows scientists to discover and access heterogeneous data online for diverse models, to assess and evaluate model interactions and outcomes, and to use these coupled models to test comprehensive hypotheses and alternate processes. Moreover, CyberWater enables not only easy and incremental integration of diverse data sources and models but also seamless and on-demand access to various HPC (high performance computing) resources. Its core components include the Meta-Scientific-Modeling (MSM) core, Data Agents, Model Agents, and generic model agent toolkit.

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