Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2577-2020
https://doi.org/10.5194/hess-24-2577-2020
Research article
 | 
15 May 2020
Research article |  | 15 May 2020

Soil moisture sensor network design for hydrological applications

Lu Zhuo, Qiang Dai, Binru Zhao, and Dawei Han

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Cited articles

Albergel, C., De Rosnay, P., Gruhier, C., Muñoz-Sabater, J., Hasenauer, S., Isaksen, L., Kerr, Y., and Wagner, W.: Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations, Remote Sens. Environ., 118, 215–226, 2012. 
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Bontemps, S., Defourny, P., Radoux, J., Van Bogaert, E., Lamarche, C., Achard, F., Mayaux, P., Boettcher, M., Brockmann, C., and Kirches, G.: Consistent global land cover maps for climate modelling communities: Current achievements of the ESA's land cover CCI, in: Proceedings of the ESA Living Planet Symposium, Edimburgh, 9–13, 2013. 
Brocca, L., Ciabatta, L., Massari, C., Camici, S., and Tarpanelli, A.: Soil moisture for hydrological applications: open questions and new opportunities, Water, 9, 140, https://doi.org/10.3390/w9020140, 2017. 
Cai, X.: Hydrological assessment and biogeochemical advancement of the Noah-MP land surface model, Doctor of Philosophy, Geological Sciences, The University of Texas, Austin, 164 pp., 2015. 
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Short summary
Soil moisture plays an important role in hydrological modelling. However, most existing in situ observation networks rarely provide sufficient coverage to capture soil moisture variations. Clearly, there is a need to develop a systematic approach, so that with the minimal number of sensors the soil moisture information could be captured accurately. In this study, a simple and low-data requirement method is proposed (WRF, PCA, CA), which can provide very efficient soil moisture estimations.