Shi et al. (2026) Quasi-Global (50° S–50° N) of Soil Moisture and Precipitation Extremes

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Hydrology
• Year: 2026
• Date: 2026-02-09
• Authors: Aoqi Shi, Jun Liu, Taoyu Jin, Z. li, Wenfu Yang, Wenwen Wang, Wenmin Zhang
• DOI: 10.3390/hydrology13020067

Research Groups

[Not explicitly mentioned in the provided text.]

Short Summary

This study systematically evaluated the co-occurrence and temporal dependencies of extreme soil moisture and precipitation from 2000 to 2022 at a quasi-global scale, revealing a significant increase in their co-occurrence frequency and distinct directional pathways between them.

Objective

• To clarify the detailed relationships, pathways, and quantitative characterization of extreme soil moisture and precipitation at a quasi-global scale (50° S–50° N) to understand their impacts on ecosystems.

Study Configuration

• Spatial Scale: Quasi-global (50° S–50° N).
• Temporal Scale: 2000 to 2022 (23 years).

Methodology and Data

• Models used: Statistical modeling (path analysis/structural equation modeling), BCC-ESM1 model (within CMIP6 framework).
• Data sources: Satellite-based observations (for SM-P extremes), BCC-ESM1 model output.

Main Results

• A significant global increase in the co-occurrence frequency of extreme soil moisture and precipitation was observed, with strong spatiotemporal patterns.
• Extreme soil moisture anomalies had a 62% conditional probability within 34 days after precipitation extremes.
• Precipitation extremes had an 88% conditional probability following extreme soil moisture anomalies.
• Path analysis indicated a strong direct positive pathway from precipitation to soil moisture, while soil moisture indirectly influenced precipitation through evapotranspiration.
• The BCC-ESM1 model reasonably reproduced the synchrony of extreme soil moisture and precipitation compared to satellite observations.

Contributions

• Provides a systematic, quasi-global evaluation of co-occurrence, temporal dependencies, and quantitative characterization of extreme soil moisture and precipitation.
• Elucidates directional pathways among precipitation, soil moisture, and evapotranspiration using statistical modeling.
• Offers the BCC-ESM1 model as a feasible alternative for predicting soil moisture-precipitation relationships in data-scarce regions and for future trend projections.
• Broadens the understanding of land–atmosphere interactions and coupling mechanisms, providing a theoretical basis for predicting and managing extreme event impacts on ecosystems.

Funding

[Not mentioned in the provided paper text.]

Citation

@article{Shi2026QuasiGlobal,
  author = {Shi, Aoqi and Liu, Jun and Jin, Taoyu and li, Z. and Yang, Wenfu and Wang, Wenwen and Zhang, Wenmin},
  title = {Quasi-Global (50° S–50° N) of Soil Moisture and Precipitation Extremes},
  journal = {Hydrology},
  year = {2026},
  doi = {10.3390/hydrology13020067},
  url = {https://doi.org/10.3390/hydrology13020067}
}