Preprints
https://doi.org/10.5194/egusphere-2026-5502
https://doi.org/10.5194/egusphere-2026-5502
26 Oct 2026
 | 26 Oct 2026
Status: this preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).

Rethinking the effect of groundwater storage resolution in river discharge estimates: how baseflow contribution governs the benefits of high-resolution data

Francesco Leopardi, Ehsan Forootan, Jacopo Dari, Carla Saltalippi, Luca Brocca, and Stefania Camici

Abstract. Groundwater storage (GWS) sustains river discharge through its contribution to baseflow, particularly during low-flow periods that are becoming increasingly critical under climate change, yet it remains one of the most difficult components of the hydrological cycle to monitor. The Gravity Recovery and Climate Experiment (GRACE) and its Follow-On mission (GRACE-FO) provide large-scale observations of terrestrial water storage anomalies (TWSA), which can be used to constrain GWS estimates and improve hydrological modelling of river discharge. However, their coarse effective spatial resolution (~300 km) limits their applicability to small and medium-sized river basins. Future gravimetry missions are expected to improve the spatial resolution of gravity-derived water-storage observations, but whether this improvement translates into more accurate river discharge estimates, and under which hydrological conditions, remains unclear. Here, we investigate this question using the semi-distributed hydrological model STREAM forced with GWS anomalies (GWSA) datasets at 0.1°, 0.5°, and 3° spatial resolution. The 0.1° dataset is obtained through constrained Bayesian integration of GRACE/GRACE-FO observations into the World-Wide Water Resources Assessment (W3RA) model, while the 0.5° and 3° datasets are generated by spatially degrading the 0.1° product. The experiments encompass three European pilot basins (Ebro, Danube, and Elbe) and 24 gauging stations representing a broad spectrum of drainage areas and hydrological conditions. Our results show that drainage area alone is not a reliable indicator of the added value of higher-resolution GWSA estimates: improvements in river discharge estimates are generally modest and inconsistent across basin sizes. In contrast, a more pronounced sensitivity is observed across flow regimes, particularly under low-flow (LF) and very-low-flow (VLF) conditions, for which the median reduction in RRMSE across all gauging stations is approximately 10% and 14%, respectively, when moving from the 3° to the 0.1° GWSA product. Moreover, the benefits of higher-resolution GWSA extend to higher-flow conditions as the contribution of baseflow to total river discharge increases. These results identify baseflow contribution as a key predictor of the hydrological value of higher-resolution GWSA estimates and provide a basis for assessing where improved spatial resolution of future gravimetry missions may translate into meaningful gains in river discharge estimation.

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Francesco Leopardi, Ehsan Forootan, Jacopo Dari, Carla Saltalippi, Luca Brocca, and Stefania Camici

Status: open (until 07 Dec 2026)

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Francesco Leopardi, Ehsan Forootan, Jacopo Dari, Carla Saltalippi, Luca Brocca, and Stefania Camici
Francesco Leopardi, Ehsan Forootan, Jacopo Dari, Carla Saltalippi, Luca Brocca, and Stefania Camici
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Latest update: 26 Oct 2026
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Short summary
Rivers are fed partly by rain and partly by water stored underground. Satellites can track this groundwater and help estimate river flow, but this was thought useful only for the largest rivers. We tested it with a rainfall-runoff model of three European rivers using groundwater data at different resolutions. River size barely mattered. What counted was how much of the flow comes from groundwater rather than rain. Detailed data help most where groundwater supplies much of a river's flow.
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