Sandtank ML
Community education and engagement is a priority
Our project team develops free educational tools and resources to support a variety of users who want to learn and teach about hydrology, modeling and more! Please visit all of the Educational Tools pages to discover our collection of resources.
Sandtank ML builds upon an already existing educational tool
created by members of our research team - the ParFlow Sandtank,
an interactive computer simulation of a physical aquifer model.
Using the output of the ParFlow Sandtank as the prediction goal,
Sandtank ML allows users to run various machine learning (ML)
models and manipulate training sets and other components to
explore how particular decisions impact model accuracy. The goal
of the application is to help users gain an understanding of
basic ML approaches and processes, as well as understanding the
way ML can be leveraged in hydrology.
Citations
- Gallagher, LK, JM Williams, D Lazzeri, C Chennault, S Jourdain, P O’Leary, LE Condon and RM Maxwell (2021). Sandtank-ML: An Educational Tool at the Interface of Hydrology and Machine Learning. Water. 13, 3328. https://doi.org/10.3390/w13233328.
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