Abstract

Abstract. By providing continuous high-resolution simulations of soil moisture fields, distributed hydrologic models could be powerful tools to advance the scientific community's understanding of the space-time variability and scaling characteristics of soil moisture fields. However, in order to use the soil moisture simulations from hydrologic models with confidence, it is important to understand whether the models are able to represent in a reliable way the processes regulating soil moisture variability. In this study, a comparison of the scaling characteristics of spatial soil moisture fields derived from a set of microwave radiometer observations from the Southern Great Plains 1997 experiment and corresponding simulations using the distributed hydrologic model GEOtop is performed through the use of generalized variograms. Microwave observations and model simulations are in agreement with respect to suggesting the existence of a scale-invariance property in the variograms of spatial soil moisture fields, and indicating that the scaling characteristics vary with changes in the spatial average soil water content. However, observations and simulations give contradictory results regarding the relationship between the scaling parameters (i.e. spatial organization) and average soil water content. The drying process increased the spatial correlation of the microwave observations at both short and long separation distances while increasing the rate of decay of correlation with distance. The effect of drying on the spatial correlation of the model simulations was more complex, depending on the storm and the simulation examined, but for the largest storm in the simulation most similar to the observations, drying increased the long-range correlation but decreased the short-range. This is an indication that model simulations, while reproducing correctly the total streamflow at the outlet of the watershed, may not accurately reproduce the runoff production mechanisms. Consideration of the scaling characteristics of spatial soil moisture fields can therefore serve as a more intensive means for validating distributed hydrologic models, compared to the traditional approach of only comparing the streamflow hydrographs.

Highlights

  • Near-surface soil moisture is an important variable that influences atmospheric, hydrologic, and biogeochemical processes over a wide range of scales

  • We have evaluated the ability of a distributed hydrologic model to reproduce the scaling characteristics of observed near-surface (5 cm) spatial soil moisture fields

  • The following conclusions are worth emphasizing: 1. Both microwave observations and model simulations reveal that spatial soil moisture fields exhibit approximate scale-invariance in their generalized variograms over length scales between 0.8 and 10.4 km

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Summary

Introduction

Near-surface soil moisture is an important variable that influences atmospheric, hydrologic, and biogeochemical processes over a wide range of scales. In a recent study, Manfreda et al (2007) investigated the scaling characteristics of spatial soil moisture fields simulated with the variable infiltration capacity (VIC) (Nijssen et al, 1997) hydrologic model over the southern Great Plains region by examining the variance of spatial averages at different resolutions from 0.125◦ to 1.0◦, and reported the following results: (i) variance of spatial soil moisture fields in the top 10 cm and top 100 cm exhibit scale-invariance; (ii) the drying process tends to reduce the spatial correlation of the soil moisture; and (iii) changes in the scaling parameter values are controlled by the mean value of the process and by the different dynamics of the wetting and drying cycles. There is only little work done to compare the scaling properties of simulated soil moisture fields to observations (Dubayah et al, 1997; Peters-Lidard et al, 2001) It is worth exploring in detail how distributed hydrologic models perform in retrieving observed scaling parameters. We investigate if the observed and simulated moisture fields exhibit scale invariance in their generalized variograms, and to analyze the relationship between the scaling parameters and spatial average soil water content

Study region
Observations
Numerical model
Watershed-averaged soil moisture
Scaling
Scaling parameter
Conclusions
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