Soil moisture at local scale: Measurements and simulations

• Published in: Journal of hydrology (Amsterdam) Vol. 516; pp. 6 - 20
• Main Author: Romano, Nunzio
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 04.08.2014
• Subjects: Arrays; Geotechnics; Hydrology; Measurement methods; Monitoring; Readers; risk; Scale; Scale (ratio); Soil (material); Soil moisture; soil water; Soil–vegetation–atmosphere continuum; Soil–water balance model; Space–time variability; Soil–water balance model; Measurement methods; Scale; Soil moisture; Space–time variability; Soil–vegetation–atmosphere continuum
• ISSN: 0022-1694; 1879-2707
• DOI: 10.1016/j.jhydrol.2014.01.026

Soil moisture refers to the water present in the uppermost part of a field soil and is a state variable controlling a wide array of ecological, hydrological, geotechnical, and meteorological processes. The literature on soil moisture is very extensive and is developing so rapidly that it might be considered ambitious to seek to present the state of the art concerning research into this key variable. Even when covering investigations about only one aspect of the problem, there is a risk of some inevitable omission. A specific feature of the present essay, which may make this overview if not comprehensive at least of particular interest, is that the reader is guided through the various traditional and more up-to-date methods by the central thread of techniques developed to measure soil moisture interwoven with applications of modeling tools that exploit the observed datasets. This paper restricts its analysis to the evolution of soil moisture at the local (spatial) scale. Though a somewhat loosely defined term, it is linked here to a characteristic length of the soil volume investigated by the soil moisture sensing probe. After presenting the most common concepts and definitions about the amount of water stored in a certain volume of soil close to the land surface, this paper proceeds to review ground-based methods for monitoring soil moisture and evaluates modeling tools for the analysis of the gathered information in various applications. Concluding remarks address questions of monitoring and modeling of soil moisture at scales larger than the local scale with the related issue of data aggregation. An extensive, but not exhaustive, list of references is provided, enabling the reader to gain further insights into this subject.