Evidence map›Paper›PMID 41580409›Full record

ArticleScientific data2026

Submesoscale daily data from a non-hydrostatic OGCM at 1/90° resolution over Northern South China Sea in 2019.

Zhanpeng Zhuang, Zhenya Song, Qi Shu, Lina Sun, Yeli Yuan

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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. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Zhanpeng ZhuangFirst Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, 266061, China.
Zhenya SongFirst Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, 266061, China. songroy@fio.org.cn.ORCID http://orcid.org/0000-0002-8098-5529
Qi ShuFirst Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, 266061, China.ORCID http://orcid.org/0000-0003-4781-571X
Lina SunFirst Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, 266061, China.
Yeli YuanFirst Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, 266061, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerical simulations of oceanic variations at submesoscale spatial scales are essential for understanding dynamic characteristics of the Northern South China Sea (NSCS). Currently, the spatial resolution and accuracy of available reanalysis and simulation datasets are still inadequate to comprehensively capture submesoscale processes, leading to an incomplete depiction of the region's detailed dynamic characteristics. In this study, a regional oceanic simulation dataset at (1/90) ° × (1/90) ° spatial and daily temporal resolutions for the year 2019 is produced based on a non-hydrostatic ocean general circulation model (OGCM). Assessments from an idealized experiment suggest that non-hydrostatic calculations can improve the simulation accuracy of high-resolution OGCMs for small-scale oceanic features, such as internal tides or submesoscale phenomena. Comparisons with the observations demonstrate that simulations from the non-hydrostatic OGCM are generally more accurate than those from hydrostatic OGCM. Along with its good performance in simulating dynamic processes in the NSCS, this dataset can enhance understanding of the dynamical patterns and interactions among multi-scale processes, including large-scale circulation, mesoscale eddies, and submesoscale phenomena.

Identifiers

PMID41580409
PMCPMC12936083

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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.