Articles | Volume 24, issue 5
Hydrol. Earth Syst. Sci., 24, 2633–2653, 2020
https://doi.org/10.5194/hess-24-2633-2020
Hydrol. Earth Syst. Sci., 24, 2633–2653, 2020
https://doi.org/10.5194/hess-24-2633-2020

Research article 25 May 2020

Research article | 25 May 2020

Soil moisture: variable in space but redundant in time

Mirko Mälicke et al.

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Cited articles

Albertson, J. D. and Montaldo, N.: Temporal dynamics of soil moisture variability: 1. Theoretical basis, Water Resour. Res., 39, 1274, https://doi.org/10.1029/2002WR001616, 2003. a
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Bárdossy, A. and Lehmann, W.: Spatial distribution of soil moisture in a small catchment. Part 1: Geostatistical analysis, J. Hydrol., 206, 1–15, https://doi.org/10.1016/S0022-1694(97)00152-2, 1998. a
Barlow, R. E., Bartholomew, D., Bremner, J., and Brunk, H.: Statistical Inference Under Order Restrictions: Theory and Application of Isotonic Regression, Tech. rep., Dept. of Statistics, Missouri Univ., Comumbia, 1972. a
Beyer, K., Goldstein, J., Ramakrishnan, R., and Shaft, U.: When Is “Nearest Neighbor” Meaningful?, in: International conference on database theory, Springer, Berlin, Heidelberg, 217–235, https://doi.org/10.1007/3-540-49257-7_15, 1999. a
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We could show that distributed soil moisture time series bear a considerable amount of information about dynamic changes in soil moisture. We developed a new method to describe spatial patterns and analyze their persistency. By combining uncertainty propagation with information theory, we were able to calculate the information content of spatial similarity with respect to measurement uncertainty. This does help to understand when and why the soil is drying in an organized manner.