• Sorted by Date • Sorted by Last Name of First Author •
Hodgkins, Glenn A., Simeone, Caelan E., Lombard, Melissa A., Caldwell, Todd G., Hammond, John C., Wieczorek, Michael E., and Dudley, Robert W., 2026. Groundwater drought in the United States: spatial and temporal variability. Journal of Hydrology, 671:135180, doi:10.1016/j.jhydrol.2026.135180.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026JHyd..67135180H,
author = {{Hodgkins}, Glenn A. and {Simeone}, Caelan E. and {Lombard}, Melissa A. and {Caldwell}, Todd G. and {Hammond}, John C. and {Wieczorek}, Michael E. and {Dudley}, Robert W.},
title = "{Groundwater drought in the United States: spatial and temporal variability}",
journal = {Journal of Hydrology},
keywords = {Groundwater, Drought, United States, Variability, Wells, GRACE},
year = 2026,
month = may,
volume = {671},
eid = {135180},
pages = {135180},
abstract = "{Many communities and ecosystems in the United States that are dependent
on groundwater are potentially adversely affected by groundwater
drought. We computed yearly groundwater-drought metrics and mean
groundwater levels at well locations across the conterminous
United States (CONUS), using data from wells and remotely sensed
and modeled Gravity Recovery and Climate Experiment Drought
Monitor Data Assimilation (GRACE-DADM). We also modeled the
probability of low or high human impact at each well location.
The spatial distribution of groundwater-drought duration and
severity from 2001 to 2020 for 1,510 wells shows longer maximum
duration and higher maximum severity events in drier regions
like the Southwest than in wetter regions like the Northeast.
Based on 613 wells in CONUS from 1981 to 2020, there are many
significant decreases in drought duration and severity in the
Northeast and many significant increases in annual-mean
groundwater levels. In contrast, there are many significant
increases in drought metrics and decreases in mean water levels
in parts of the Southeast. There are major differences in trends
from 2001 to 2020 between well-based and GRACE-DADM-based
groundwater metrics in some CONUS regions and a very low
correlation between trends at individual locations across CONUS.
A potential reason for this disparity is the low GRACE-DADM
resolution ({\ensuremath{\sim}}12 km) and the potential for a
large amount of groundwater variation at the local scale. Also,
GRACE-DADM represents shallow, unconfined aquifers which may not
match the screened interval of the monitoring wells we
evaluated. Large spatial gaps in long-term, high frequency, and
quality-assured groundwater-well monitoring data present a
challenge for understanding groundwater-drought variability
across CONUS. Remote sensing tools such as GRACE can help but
cannot fully replace well monitoring, as highlighted by our
study results. Substantially more long-term monitoring wells
would more accurately represent groundwater-drought trends and
spatial variability across CONUS, particularly in western
regions.}",
doi = {10.1016/j.jhydrol.2026.135180},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..67135180H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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