4.7 Article

An interoperable software ecosystem to store, visualize, and publish water resources systems modelling data

Journal

ENVIRONMENTAL MODELLING & SOFTWARE
Volume 151, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2022.105371

Keywords

Systems analysis; OpenAgua; WaMDaM; Hydra platform; Open-source; HydroShare

Funding

  1. National Science Foundation through the CI-Water Project grant [1135482]
  2. iUtah grant [1208732]
  3. Utah Mineral Lease Funds
  4. Intermountain Section of the American Public Works Association
  5. Utah Chapter of the American Public Works Association
  6. Utah Water Users Association
  7. EPSCoR
  8. Office Of The Director [1135482] Funding Source: National Science Foundation

Ask authors/readers for more resources

This paper discusses the use of multiple tools by water systems modelers for data storage, querying, visualization, and sharing. By connecting these tools in an open-source software ecosystem, it becomes possible to compare models from different regions and publish them for discovery and use.
Water systems modelers have developed multiple, independent, model- and study-area specific tools to store, query, visualize, and share their data. This fragmentation makes difficult comparisons, and synthesis within or across study areas. This paper identifies the common components of four existing tools for data storage, web visualization, and repository, and relates them correctly in syntax and semantics. Connecting the tools in a state-of-the-art, open-source software ecosystem allowed comparing the effects of population growth and water conservation in simulation and optimization models for the Bear River Watershed, U.S. and Monterrey, Mexico that have different spatial coverage and urban and agricultural representations. The software ecosystem also publishes the models and their data for discovery. The software ecosystem can help modelers tap the best features of individual software tools to answer a next generation of water management questions that seek to discover, use, reproduce, extend, compare, or synthesize within or across study areas.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available