I recently
posted about a series of studies by researchers at UC Santa Barbara regarding
water table levels around the world, the problem of groundwater depletion, and
possible solutions. Another recent study maps water table levels in the U.S. In
this study, researchers at Princeton University and the University of Arizona
took data from about 800,000 wells and applied a machine-learning model to
estimate the depth of the water table nationwide. They estimated aquifer
freshwater levels down to 1300 feet, much deeper than most groundwater wells.
One of the problem areas in
the U.S. where groundwater is depleting fastest is the Central Valley area,
which is our country’s agricultural powerhouse. It is noted that in some areas,
like the desert Southwest, the groundwater is considered “fossil water,” and if
depleted, it will take years to be recharged without severe interventions.
There, when groundwater depletes, it often dries up connections to surface
water, such as wetlands and small tributaries.
According to an article in
the LA Times:
“The total quantity of water underground is still
immense. The scientists found nationwide there is roughly 250 billion
acre-feet, or 13 times the volume of the Great Lakes.”
“Data compiled by lead author Yueling Ma show the
Colorado River watershed has about as much groundwater as the volume of the
Great Lakes, while California has about 70% of that.”
The map below shows that the uncertainty level, as exemplified by the inter-quartile range (IQR), is generally lower in the eastern U.S. and higher in the western U.S.
The database for California
showed 6000 water wells that have dried up since 2013. However, only 13 ran dry
in 2025, so the rate has likely slowed.
The new study utilized a machine learning approach. It emphasizes the need for higher local spatial resolution in order to get a better estimate of groundwater quantities. Therefore, the study utilized a high-resolution (approximately 30 m) approach to calculate groundwater storage. Other studies often utilize a much lower 1 sq. km resolution.
One known finding confirmed by the study is that
groundwater has large spatial variability, which poses challenges for
management. They show that wow resolution estimates systematically
underestimate accessible groundwater. This is why higher spatial resolution is
important to get accurate estimates. The first graphic below shows the mismatch between the spatial scale resolutions of common remote sensing methods and modeling. The second graphic below shows the loss of detail when the spatial resolution is too low.
According to the paper:
“Groundwater systems are not a uniform reservoir and
have significant spatial variability across multiple scales. Water table depth
is often portrayed as a subdued replica of topography, however, groundwater
recharging at higher elevations can travel great distances laterally
underground to topographic lows, also known as groundwater convergence.
Groundwater can maintain shallow water table depth in areas of local
convergence during dry conditions, the same way that baseflow supports
streamflow. These groundwater-land surface connections are of great importance
to both watershed dynamics and ecosystem function often helping to sustain
vegetation through drought.”
The authors note that machine
learning sidesteps computational barriers to bridge scales.
“We combine our water table depth product (Fig. 2) with
spatially variable estimates of porosity from previous literature to calculate
total groundwater storage (see SI S1.3 and Table S1). We estimate a total
groundwater storage of 306,500 km3, with an uncertainty range of 291, 850 km3
to 316, 720 km3. This estimate includes all groundwater above a depth of 392 m (this
depth is the deepest depth for which we have reliable porosity data, and
roughly the limit of active circulation in the hydrologic cycle.”
The authors conclude that
their higher-resolution estimates can help with local -scale groundwater
management strategies:
“Despite the groundwater challenges we currently face
and the anticipation of future challenges, large-scale estimates of the
quantity of groundwater can be connected to the local-scale water table depth
to provide additional information critical in water management. The
accessibility of groundwater under agricultural regions demonstrates the
uncertainty in the national water supply used to sustain food production.”
References:
How
much water do we have? Scientists map the water beneath our feet. Ian James.
Boiling Point Newsletter. Los Angeles Times. April 9, 2026. How
much water lies underground? Scientists finally have an answer - Los Angeles
Times
High
resolution US water table depth estimates reveal quantity of accessible
groundwater. Yueling Ma, Laura E. Condon, Julian Koch, Andrew Bennett, Amy
Defnet, Danielle Tijerina-Kreuzer, Peter Melchior & Reed M. Maxwell. Communications
Earth & Environment volume 7, Article number: 45 (January 2026). High resolution
US water table depth estimates reveal quantity of accessible groundwater |
Communications Earth & Environment





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