Evidence map›Paper›PMID 42566520›Full record

ArticleScience advances2026

Global distribution and amplitudes of internal solitary waves revealed by SWOT.

Xudong Zhang, Yinfei Zhou, Xiaochen Wang, Xiaofeng Li

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Xudong ZhangKey Laboratory of Ocean Observation and Forecasting and Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.ORCID 0000-0001-8492-3432
Yinfei ZhouKey Laboratory of Ocean Observation and Forecasting and Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.ORCID 0009-0000-6635-3421
Xiaochen WangKey Laboratory of Ocean Observation and Forecasting and Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.ORCID 0009-0003-3737-5850
Xiaofeng LiKey Laboratory of Ocean Observation and Forecasting and Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.ORCID 0000-0001-7038-5119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internal solitary waves (ISWs) are powerful underwater disturbances that can vertically displace water by more than 200 meters, driving ocean mixing and affecting offshore engineering. Yet, their global distributions and vertical imprints remain poorly characterized. Traditional satellite sensors are constrained by cloud cover or limited sampling. The Surface Water and Ocean Topography (SWOT) mission provides near-continuous, cloud-independent ocean observations at unprecedented resolution. Here, we develop an artificial intelligence framework to automatically detect ISWs worldwide. Using 29 SWOT orbital cycles (July 2023 to March 2025), this study reveals a global map of ISW distribution and amplitude variations, identifying energetic hot spots and distinct seasonal and tidal variations. These findings provide insights into ISW dynamics and offer a foundation for assessing their role in global energy redistribution and ocean-climate interactions.

Identifiers

PMID42566520
PMCPMC13450222

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Registered trials

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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.