Evidence map›Paper›PMID 41702926›Full record

ArticleScientific data2026

Atmospheric and oceanic data from a triangle-shaped moored array in the northern South China Sea during 2016.

Han Zhang, Qi Li, Dake Chen, Xiaodong Shang, Di Tian, Tongya Liu, Min He, Jiacheng Hong, Guofei Wei, Jian Liu

Abstract read
In one paragraph

Article in Scientific data, 2026. 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

10 authors.

Han ZhangState Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China. zhanghan@sio.org.cn.
Qi LiSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China.
Dake ChenState Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China.ORCID http://orcid.org/0000-0002-8193-7158
Xiaodong ShangState Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China.
Di TianState Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China.
Tongya LiuState Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China.
Min HeSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China.
Jiacheng HongState Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China.
Guofei WeiKey Laboratory of Straits Severe Weather China Meteorological Administration, Fuzhou, 350028, China.
Jian LiuSouthern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a triangle-shaped moored array dataset comprising three buoys and two moorings with synchronous atmospheric and oceanic data in the northern South China Sea during 2016. The moored array was deployed from late July to early August and recovered in October. The atmospheric data were observed by meteorological sensors and automatic meteorological stations ~2.5 m above sea surface at the buoys. The oceanic data consist of temperature and salinity measurements using conductivity, temperature, and depth (CTD) recorders or temperature sensors. It also includes currents observed by acoustic Doppler current profilers (ADCPs) and current meters. The data reveal air-sea interactions and oceanic processes in the upper and deep ocean. Multiscale processes were recorded, such as air-sea fluxes, tides, internal waves, and low-frequency flows and variations. The data are valuable and may have a lot of potential applications, including analyzing the phenomena and mechanisms of air-sea interactions and ocean dynamics as well as validating and improving numerical model simulations, data reanalysis, and data assimilation.

Identifiers

PMID41702926
PMCPMC13022037

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.