TY - JOUR
T1 - High resolution US water table depth estimates reveal quantity of accessible groundwater
AU - Ma, Yueling
AU - Condon, Laura E.
AU - Koch, Julian
AU - Bennett, Andrew
AU - Defnet, Amy
AU - Tijerina-Kreuzer, Danielle
AU - Melchior, Peter
AU - Maxwell, Reed Mailer
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2026/12
Y1 - 2026/12
N2 - Groundwater is the largest accessible freshwater on Earth, yet its quantity and distribution remain unknown. Here, we develop a high-resolution (approximately 30 m) estimate of water table depth over the continental United States using machine learning that includes uncertainty. We estimate that there is 306,500 km³ (uncertainty range: 291,850–316,720 km³) of groundwater over North America. This represents our highest resolution estimate of accessible freshwater to date, supported by robust statistical performance. We calculate total and accessible groundwater storage, and results show that coarse resolution products are systematically biased in their estimates locally, where decisions are made, as well as at large scales. Our approaches are spatially extensive and locally relevant and thereby bridge a gap between remote sensing and point observations.
AB - Groundwater is the largest accessible freshwater on Earth, yet its quantity and distribution remain unknown. Here, we develop a high-resolution (approximately 30 m) estimate of water table depth over the continental United States using machine learning that includes uncertainty. We estimate that there is 306,500 km³ (uncertainty range: 291,850–316,720 km³) of groundwater over North America. This represents our highest resolution estimate of accessible freshwater to date, supported by robust statistical performance. We calculate total and accessible groundwater storage, and results show that coarse resolution products are systematically biased in their estimates locally, where decisions are made, as well as at large scales. Our approaches are spatially extensive and locally relevant and thereby bridge a gap between remote sensing and point observations.
UR - https://www.scopus.com/pages/publications/105027562433
UR - https://www.scopus.com/pages/publications/105027562433#tab=citedBy
U2 - 10.1038/s43247-025-03094-3
DO - 10.1038/s43247-025-03094-3
M3 - Article
AN - SCOPUS:105027562433
SN - 2662-4435
VL - 7
JO - Communications Earth and Environment
JF - Communications Earth and Environment
IS - 1
M1 - 45
ER -