Evidence map›Paper›PMID 41062457›Full record

ArticleNature communications2025

Causal pathways underlying global soil moisture-precipitation coupling.

Jing Sun, Kun Yang, Xiaogang He, Guiling Wang, Yong Wang, Yan Yu, Hui Lu

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. 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

7 authors.

Jing SunMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-8341-7367
Kun YangMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China. yangk@tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-0809-2371
Xiaogang HeDepartment of Civil and Environmental Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-7428-0269
Guiling WangSchool of Civil and Environmental Engineering and Center for Environmental Sciences and Engineering, University of Connecticut, Storrs, CT, USA.ORCID http://orcid.org/0000-0002-9744-2563
Yong WangMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-5831-9466
Yan YuDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-2233-344X
Hui LuMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-1640-239X

Funding

China Postdoctoral Science Foundation 2023TQ0168Ministry of Education - Singapore (MOE) A-0009297-01-00Ministry of Education - Singapore (MOE) A-8001177-00-00Ministry of Education - Singapore (MOE) A-8001886-00-00National Science Foundation of China | International Cooperation and Exchange Programme 42361144875National Science Foundation of China | Young Scientists Fund 42405164
6 · The paper itself

Abstract

Surface soil moisture-precipitation (SSM-P) coupling involves complex processes, with sensible heat (SH) and evapotranspiration as important mediators. However, these coupling pathways and their underlying mechanisms across the globe remain unclear, limiting hydrometeorological predictions and projections. Here, we employ an information flow technique to satellite observations and reanalysis, revealing strong local SSM impacts on precipitation across ~16% of analyzed global land. Among the eight identified coupling hotspots, the SH-mediated pathway emerges as a crucial mechanism, except for two African hotspots dominated by the evapotranspiration-mediated pathway. These pathway differences are linked to remote moisture availability and boundary layer height variability. Strong coupling preferentially occurs over regions with large SSM variability, particularly for SSM-SH-P. Most CMIP6 models fail to reproduce these coupling patterns, with only four successfully capturing the ERA5-derived variability-causality relationship. Our study offers additional insights into land-atmosphere coupling and proposes process-based metrics for model evaluation.

Identifiers

PMID41062457
PMCPMC12508048

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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.