WHAT THE EVIDENCE SAYS
Researchers used observations from 13 wells in three forested watersheds with Daymet climate data and GLDAS land-surface variables to reconstruct continuous daily water-table depth. Models that included recent water-table state achieved very high within-record performance; when that lagged observation was unavailable, reconstruction skill declined, although models such as XGBoost still provided useful daily estimates from broader environmental inputs.
WHY IT MATTERS / OUR READ
Gap-filling can make irregular wetland monitoring more useful for trend and hydroperiod analysis, but the performance difference matters operationally: occasional field measurements still carry information the climate grids cannot fully replace.
CAVEATS / UNCERTAINTY
The study comes from one forested coastal-plain research system. Reconstructed values are model estimates, not observations, and strong within-system validation does not guarantee transfer to different soils, drainage networks or management regimes. Performance is highest when recent observed water-table state is available.
SOURCE
Wetlands — primary study
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