Evidence map›Paper›PMID 41896595›Full record

ArticleScientific reports2026

ENSO-modulated heat source and moisture sink of Asian monsoon and its impact on rice production.

Mourani Sinha, Somnath Jha, Anupam Kumar

Abstract read
In one paragraph

Article in Scientific reports, 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
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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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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

3 authors.

Mourani SinhaDepartment of Mathematics, Techno India University, Kolkata, West Bengal, 700091, India. mou510@gmail.com.
Somnath JhaWest Bengal Police Service, Kolkata, West Bengal, India.
Anupam KumarCentre for Climate Research Singapore, Meteorological Services Singapore, National Environment Agency, Singapore, 228231, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asian monsoon dynamics modulated by ENSO (El Niño-Southern Oscillation) exert a strong influence on rice production across Asia. This study quantifies the role of major high-pressure systems, Tibetan High (heat source and moisture sink), Mascarene High and West Pacific High (moisture sources), and Siberian High (heat sink) in regulating rice yield variability. Canonical correlation analysis between rice yield (Asia, China, India) and climate variables (temperature and pressure) reveals a pronounced seasonal asymmetry, with ocean-driven monsoon dominance in summer transitioning to continental impact during winter. The leading summer canonical mode is highly robust (r ≈ 0.51, p < 10⁻¹⁴), reflecting strong ocean-atmosphere coupling, while the dominant winter mode (r ≈ 0.46, p < 10⁻⁸) highlights land-atmosphere interactions. Regression and trend analyses show that La Niña years exhibit the strongest climate-yield coupling (R² ≈ 0.4-0.9), with detrended rice yield anomalies increasing (Sen's slope 6.54). In contrast, El Niño years show declining detrended yields (Sen's slope - 6.06) despite strong increases in total yield, indicating adverse climatic effects masked by technological advancement. Neutral years display weak and insignificant climate-crop relationships. Overall, only La Niña conditions provide a robust, technology-independent positive climatic influence on Asian rice production.

Indexed as

Canonical Correlation AnalysisClimate–Crop RelationshipHigh-pressure systemsLand–Atmosphere InteractionOcean–Atmosphere CouplingSeasonal Asymmetry

Identifiers

PMID41896595
PMCPMC13039180

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LicenceCC BY-NC-ND
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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.