An interactive web viewer for exploring modeled water table depth across the contiguous United States at 30-meter resolution.
Reed Maxwell — Princeton University, Department of Civil and Environmental Engineering
Claude (Anthropic AI) — Co-developed the web application
This viewer displays water table depth estimates providing a high-resolution (30m) map of groundwater levels across CONUS. The dataset was developed using machine learning methods trained on over 894,000 observation well measurements.
The underlying dataset is available through HydroData:
https://hf-hydrodata.readthedocs.io/en/latest/gen_ma_2025.html
The water table depth values presented in this viewer are modeled estimates derived from statistical and machine learning methods. They do not represent direct measurements of groundwater conditions. These estimates are intended for research and informational purposes only and should not be used as a substitute for site-specific hydrogeological investigations. The authors make no warranties regarding the accuracy, completeness, or suitability of these data for any particular purpose, including but not limited to engineering design, regulatory compliance, or water resource management decisions.
The web viewer source code is released under the MIT License. Copyright © 2026 Reed Maxwell, Princeton University.
The water table depth dataset is provided under the terms specified in the original publication (Ma et al., 2026). Redistribution or commercial use of the underlying data may be subject to additional restrictions. Users should consult the original publication and data repository for applicable terms.
This work was supported by the Integrated GroundWater Modeling Center (IGWMC) at Princeton University.