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HESS | Articles | Volume 22, issue 4
Hydrol. Earth Syst. Sci., 22, 2255–2267, 2018
https://doi.org/10.5194/hess-22-2255-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 2255–2267, 2018
https://doi.org/10.5194/hess-22-2255-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 13 Apr 2018

Research article | 13 Apr 2018

Using lagged dependence to identify (de)coupled surface and subsurface soil moisture values

Coleen D. U. Carranza 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
Almon, S.: The distributed lag between capital appropriations and expenditures, Econometrica, 33, 178–196, 1965. a
Angers, D. A. and Caron, J.: Plant-induced changes in soil structure: processes and feedbacks, in: Plant-induced soil changes: processes and feedbacks, Springer Netherlands, 55–72, 1998. a
Belmans, C., Wesseling, J., and Feddes, R. A.: Simulation model of the water balance of a cropped soil: SWATRE, J. Hydrol., 63, 271–286, 1983. a
Beven, K. and Germann, P.: Macropores and water flow in soils revisited, Water Resour. Res., 49, 3071–3092, 2013. a
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Remote sensing has been popular for mapping surface soil moisture. However, estimating subsurface values using surface soil moisture remains a challenge, as decoupling can occur. Depth-integrated soil moisture values used in hydrological models are affected by vertical variability. Using statistical methods, we investigate vertical variability between the surface (5 cm) and subsurface (40 cm) to quantify decoupling. We also discuss potential controls for decoupling during wet and dry conditions.
Remote sensing has been popular for mapping surface soil moisture. However, estimating...
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