Wide-swath altimetry maps bank shapes and storage changes in global rivers

Rivers are Earth's most renewable and accessible freshwater resource<sup>1</sup>, yet global estimates of the magnitude and variability in river water storage have remained few and inconsistent<sup>1-9</sup>. Previous estimates of variability have relied either on sparse and asynchronous remote-sensing observations<sup>10</sup> or on hydrological models constrained by incomplete understanding of surface-water balance and poorly known river channel characteristics<sup>2,3</sup>. The insufficient knowledge of temporal variations in river water storage across space hinders effective management of this critical freshwater resource<sup>11,12</sup>. Here we present near-global-scale observations of active river channel geometry and associated monthly changes in water storage at the reach scale derived from the first water year (October 2023 to September 2024) of the Surface Water and Ocean Topography (SWOT) mission at 126,674 reaches worldwide. Clear patterns of riverbed shape and storage variability expectedly emerge across major basins. SWOT reveals a range of 313.1 ± 129.5 km³ in global annual river storage variability, approximately 28% lower than the lowest previously modelled estimates for the same wide reaches. Although the Amazon's 2024 record drought, the observational challenges in the Arctic and the revisit frequency of SWOT almost certainly contribute to the discrepancy, the observations point to distinct knowledge limitations in surface-water science. These findings highlight key opportunities to improve the fundamental representation of surface-water dynamics in global models and to better inform water resource management and disaster mitigation at scale.

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Publication Details

Journal
Nature
Published
2026-03-04
DOI
https://doi.org/10.1038/s41586-026-10218-y
Primary Topic
Flood Risk Assessment and Management
Type
article
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0.00
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article

Wide-swath altimetry maps bank shapes and storage changes in global rivers

M. Durand, J. Wade, R. P. M. Frasson, C. H. David et al.
Nature
Flood Risk Assessment and Management
article

Wide-swath altimetry maps bank shapes and storage changes in global rivers

M. Durand, J. Wade, R. P. M. Frasson, C. H. David, A. Cerbelaud, T. Pavelsky, H. Oubanas
article en

Abstract

Rivers are Earth's most renewable and accessible freshwater resource<sup>1</sup>, yet global estimates of the magnitude and variability in river water storage have remained few and inconsistent<sup>1-9</sup>. Previous estimates of variability have relied either on sparse and asynchronous remote-sensing observations<sup>10</sup> or on hydrological models constrained by incomplete understanding of surface-water balance and poorly known river channel characteristics<sup>2,3</sup>. The insufficient knowledge of temporal variations in river water storage across space hinders effective management of this critical freshwater resource<sup>11,12</sup>. Here we present near-global-scale observations of active river channel geometry and associated monthly changes in water storage at the reach scale derived from the first water year (October 2023 to September 2024) of the Surface Water and Ocean Topography (SWOT) mission at 126,674 reaches worldwide. Clear patterns of riverbed shape and storage variability expectedly emerge across major basins. SWOT reveals a range of 313.1 ± 129.5 km³ in global annual river storage variability, approximately 28% lower than the lowest previously modelled estimates for the same wide reaches. Although the Amazon's 2024 record drought, the observational challenges in the Arctic and the revisit frequency of SWOT almost certainly contribute to the discrepancy, the observations point to distinct knowledge limitations in surface-water science. These findings highlight key opportunities to improve the fundamental representation of surface-water dynamics in global models and to better inform water resource management and disaster mitigation at scale.

NatureVol. 651(8106)
University of North Carolina at Chapel Hill (US), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (FR), Jet Propulsion Laboratory (US), Université de Montpellier (FR), AgroParisTech (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Institut Agro Montpelier (FR), Bureau de Recherches Géologiques et Minières (FR), Institut de Recherche pour le Développement (FR), L'Institut Agro (FR), The Ohio State University (US)
Openalex Percentile: Top 46%
Flood Risk Assessment and Management
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