01
Connect the evidence
Bring monitoring data, spatial context, and model output into one traceable scientific view.
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The project
Scientific AI, designed to move with the water.
Water research rarely fits inside one dataset or one model. RAIN is built around the relationships between them: observations and simulations, local measurements and system-scale behavior, fast AI inference and physical understanding.
Funded through the U.S. Department of Energy's Genesis Mission, the project supports its vision for accelerating discovery by connecting scientific data, advanced computing, and AI.
02
Respect the physics
Use physical constraints to guide learning, expose implausible results, and focus computation where it matters.
03
Make uncertainty useful
Turn uncertainty from a footnote into an explicit part of research questions, comparisons, and decisions.
Research workflow
From raw signal to defensible insight.
RAIN frames AI as a scientific collaborator: one that can organize evidence, learn across scales, and keep the physical story visible.
01
Record
Observe, collect and align measurements across space, time, and source.
02
Represent
Create analysis-ready descriptions of the system and its context.
03
Reason
Combine AI, simulation, and domain constraints to test explanations.
04
Refine
Use new evidence and uncertainty to guide the next research cycle.
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Explore related demos
Try interactive public demos that bring these ideas to life.
- Public demo
Information Theory Explorer
See how patterns and useful detail emerge in one- and two-dimensional data.
Open demo (opens in a new tab) - Public demo
WEF Nexus Decision Lab
Explore cost, carbon, and freshwater tradeoffs in a connected resource system.
Open demo (opens in a new tab) - Public demo
Model Diagnostics
Calibrate a model and identify influential, uncertain, or poorly constrained inputs.
Open demo (opens in a new tab)
Built for discovery
Let's make complex water systems easier to understand.
Connect with EnviTrace to discuss the RAIN project, scientific collaboration, or related AI and water-system research.
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