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

Related authors

Assessment of simulated soil moisture from WRF Noah, Noah-MP, and CLM land surface schemes for landslide hazard application
Lu Zhuo, Qiang Dai, Dawei Han, Ningsheng Chen, and Binru Zhao
Hydrol. Earth Syst. Sci., 23, 4199–4218, https://doi.org/10.5194/hess-23-4199-2019,https://doi.org/10.5194/hess-23-4199-2019, 2019
Short summary
Modeling the high-resolution dynamic exposure to flooding in a city region
Xuehong Zhu, Qiang Dai, Dawei Han, Lu Zhuo, Shaonan Zhu, and Shuliang Zhang
Hydrol. Earth Syst. Sci., 23, 3353–3372, https://doi.org/10.5194/hess-23-3353-2019,https://doi.org/10.5194/hess-23-3353-2019, 2019
Short summary
Antecedent wetness and rainfall information in landslide threshold definition
Binru Zhao, Qiang Dai, Dawei Han, Huichao Dai, Jingqiao Mao, and Lu Zhuo
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-150,https://doi.org/10.5194/hess-2019-150, 2019
Revised manuscript not accepted
Multi-source hydrological soil moisture state estimation using data fusion optimisation
Lu Zhuo and Dawei Han
Hydrol. Earth Syst. Sci., 21, 3267–3285, https://doi.org/10.5194/hess-21-3267-2017,https://doi.org/10.5194/hess-21-3267-2017, 2017
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Instruments and observation techniques
Exploring the provenance of information across Canadian hydrometric stations: implications for discharge estimation and uncertainty quantification
Shervan Gharari, Paul H. Whitfield, Alain Pietroniro, Jim Freer, Hongli Liu, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 28, 4383–4405, https://doi.org/10.5194/hess-28-4383-2024,https://doi.org/10.5194/hess-28-4383-2024, 2024
Short summary
Using high-frequency solute synchronies to determine simple two-end-member mixing in catchments during storm events
Nicolai Brekenfeld, Solenn Cotel, Mikaël Faucheux, Paul Floury, Colin Fourtet, Jérôme Gaillardet, Sophie Guillon, Yannick Hamon, Hocine Henine, Patrice Petitjean, Anne-Catherine Pierson-Wickmann, Marie-Claire Pierret, and Ophélie Fovet
Hydrol. Earth Syst. Sci., 28, 4309–4329, https://doi.org/10.5194/hess-28-4309-2024,https://doi.org/10.5194/hess-28-4309-2024, 2024
Short summary
Thermal regime of High Arctic tundra ponds, Nanuit Itillinga (Polar Bear Pass), Nunavut, Canada
Kathy L. Young and Laura C. Brown
Hydrol. Earth Syst. Sci., 28, 3931–3945, https://doi.org/10.5194/hess-28-3931-2024,https://doi.org/10.5194/hess-28-3931-2024, 2024
Short summary
Impacts of hydrofacies geometry designed from seismic refraction tomography on estimated hydrogeophysical variables
Nolwenn Lesparre, Sylvain Pasquet, and Philippe Ackerer
Hydrol. Earth Syst. Sci., 28, 873–897, https://doi.org/10.5194/hess-28-873-2024,https://doi.org/10.5194/hess-28-873-2024, 2024
Short summary
Seasonal dynamics and spatial patterns of soil moisture in a loess catchment
Shaozhen Liu, Ilja van Meerveld, Yali Zhao, Yunqiang Wang, and James W. Kirchner
Hydrol. Earth Syst. Sci., 28, 205–216, https://doi.org/10.5194/hess-28-205-2024,https://doi.org/10.5194/hess-28-205-2024, 2024
Short summary

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. 
Berrisford, P., Dee, D., Poli, P., Brugge, R., Fielding, K., Fuentes, M., Kallberg, P., Kobayashi, S., Uppala, S., and Simmons, A.: The ERA-Interim archive, version 2.0, available at: https://www.ecmwf.int/node/8174 (last access: 14 May 2020), 2011. 
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. 
Download
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.