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Cited by 552

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Scaling of Soil Moisture: A Hydrologic Perspective

Western, Andrew W., Grayson, Rodger B., Blöschl, Günter·2002·Annual Review of Earth and Planetary Sciences

Abstract

▪ Abstract Soil moisture is spatially and temporally highly variable, and it influences a range of environmental processes in a nonlinear manner. This leads to scale effects that need to be understood for improved prediction of moisture dependent processes. We provide some introductory material on soil moisture, and then review results from the literature relevant to a variety of scaling techniques applicable to soil moisture. This review concentrates on spatial scaling with brief reference to results on temporal scaling. Scaling techniques are divided into behavioral techniques and process-based techniques. We discuss the statistical distribution of soil moisture, spatial correlation of soil moisture at scales from tens of meters to thousands of kilometers and related interpolation and regularization techniques, and the use of auxiliary variables such as terrain indices. Issues related to spatially distributed deterministic modeling of soil moisture are also briefly reviewed.

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Crossref · 10.1146/annurev.earth.30.091201.140434

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Metadata

Authors
Western, A. W., Grayson, R. B., & Blöschl, G.
Venue
Annual Review of Earth and Planetary Sciences
Published
2002-05
Volume
30
Issue
1
Pages
149-180
ISSN
  • 0084-6597 (ISSN-L)
  • 1545-4495
OpenAlex
W2148557261
Cited by
552
References
66
FWCI
3.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Scaling of Soil Moisture: A Hydrologic Perspective. https://app.cochat.ai/papers/10.1146/annurev.earth.30.091201.140434
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Western, A. W., Grayson, R. B., & Blöschl, G. (2002). Scaling of Soil Moisture: A Hydrologic Perspective. Annual Review of Earth and Planetary Sciences. https://doi.org/10.1146/annurev.earth.30.091201.140434

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.