Evidence map›Paper›PMID 41419489›Full record

ArticleNature communications2025

Satellite altimetry reveals intensifying global river water level variability.

Chenqi Fang, Di Long, Qi Huang, Jean-François Cretaux, Fabrice Papa, Frédéric Frappart, Huaichuan Liu, Colin J Gleason, Chunhong Hu

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chenqi Fang *Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, China.
Di Long *Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, China. dlong@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-9033-5039
Qi HuangSchool of Water Resources and Environment, China University of Geosciences, Beijing, China.
Jean-François CretauxUniversité de Toulouse, LEGOS (IRD/CNRS/CNES/UT), Toulouse, France.
Fabrice PapaUniversité de Toulouse, LEGOS (IRD/CNRS/CNES/UT), Toulouse, France.ORCID http://orcid.org/0000-0001-6305-6253
Frédéric FrappartISPA, UMR1391 INRAE/Bordeaux Sciences Agro, Villenave d'Ornon, France.ORCID http://orcid.org/0000-0002-4661-8274
Huaichuan LiuDepartment of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, China.
Colin J GleasonDepartment of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, USA.ORCID http://orcid.org/0000-0002-3525-6220
Chunhong HuChina Institute of Water Resources and Hydropower Research, Beijing, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42571432National Natural Science Foundation of China (National Science Foundation of China) 52325901
6 · The paper itself

Abstract

River water levels (RWLs) are fundamental to hydrology, water resource management, and disaster mitigation, yet the majority of the world's rivers remain ungauged. Here, using 46,993 virtual stations from Sentinel-3A/B altimetry (2016‒2024), we present a global assessment of RWL variability. We find a median global fluctuation of 3.76 m, with pronounced spatial patterns: significant RWL declines across Central North/South America and Western Siberia, and increases across Africa, Oceania, Eastern/Southern Asia, and Northwestern/Central Europe. Seasonality is intensifying in 68% of basins, as high RWLs become more temporally concentrated. Maximum RWLs are declining by 0.88 cm/yr, while minimum RWLs are rising by 1.43 cm/yr. This convergence is reducing seasonal amplitude globally, with the most pronounced changes in the Americas and Central Africa. These shifts coincide with a recent surge in extreme RWL events, particularly after 2021, signaling growing hydrological instability amid concurrent droughts and floods. Our findings underscore the urgent need for adaptive water management in response to accelerating climate pressures.

Identifiers

PMID41419489
PMCPMC12847936

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.