Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Spatio-temporal variations in global surface soil moisture based on multiple datasets: Intercomparison and climate drivers

Yansong Guan, Xihui Gu, Louise Slater, Jianfeng Li, Dongdong Kong, Xiang Zhang

Journal of Hydrology · 2023

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Summary

This 2023 analysis in the Journal of Hydrology presents an intercomparison of multiple global surface soil moisture datasets to characterise spatio-temporal variations and identify dominant climate drivers. The work synthesises satellite and model-based soil moisture products to map regional and temporal patterns, with implications for understanding soil-atmosphere interactions under changing climate conditions. Such comparisons are essential for validating remote-sensing soil moisture products and improving hydrological and agricultural modelling.

Regional applicability

The global scope means findings apply broadly across regions including the United Kingdom, though UK-specific application would require examination of how the intercomparison performs in temperate maritime climates with high rainfall variability. The study's climate driver analysis may inform UK water resource management and agricultural water stress assessments.

Key measures

Surface soil moisture (volumetric water content or similar); spatio-temporal trends; correlation with climate variables (likely precipitation, temperature, evapotranspiration)

Outcomes reported

The study compared multiple global soil moisture datasets and analysed spatio-temporal variations in surface soil moisture across the globe. It examined the relationships between soil moisture patterns and climate drivers.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Observational analysis / dataset intercomparison
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Other
DOI
10.1016/j.jhydrol.2023.130095
Catalogue ID
SNmqopeucv-gieua7

Topic tags

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