Causal pathways underlying global soil moisture–precipitation coupling

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.

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Publication Details

Journal
Nature Communications
Published
2025-10-08
DOI
https://doi.org/10.1038/s41467-025-63999-7
Citations
5
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
4.00

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article

Causal pathways underlying global soil moisture–precipitation coupling

Xiaogang He, Hui Lü, Kun Yang, Yan Yu et al.
5 citations
Nature Communications
Soil Moisture and Remote Sensing
4.00
article

Causal pathways underlying global soil moisture–precipitation coupling

Xiaogang He, Hui Lü, Kun Yang, Yan Yu, Yong Wang, Guiling Wang, Jing Sun
article en
5 citations

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.

Nature CommunicationsVol. 16(1)
University of Connecticut (US), National University of Singapore (SG), Peking University (CN), Ministry of Education (ME), Chinese Academy of Surveying and Mapping (CN), Institute of Tibetan Plateau Research (CN), Tsinghua University (CN)
National Science Foundation, National Natural Science Foundation of China, Chinese Academy of Sciences, China Postdoctoral Science Foundation, Ministry of Education, India
Openalex Percentile: Top 6%
Soil Moisture and Remote Sensing
4.00
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