Articles | Volume 23, issue 10
https://doi.org/10.5194/hess-23-4199-2019
https://doi.org/10.5194/hess-23-4199-2019
Research article
 | 
18 Oct 2019
Research article |  | 18 Oct 2019

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

Related authors

Soil moisture sensor network design for hydrological applications
Lu Zhuo, Qiang Dai, Binru Zhao, and Dawei Han
Hydrol. Earth Syst. Sci., 24, 2577–2591, https://doi.org/10.5194/hess-24-2577-2020,https://doi.org/10.5194/hess-24-2577-2020, 2020
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: Vadose Zone Hydrology | Techniques and Approaches: Modelling approaches
Mesoscale permeability variations estimated from natural airflows in the decorated Cosquer Cave (southeastern France)
Hugo Pellet, Bruno Arfib, Pierre Henry, Stéphanie Touron, and Ghislain Gassier
Hydrol. Earth Syst. Sci., 28, 4035–4057, https://doi.org/10.5194/hess-28-4035-2024,https://doi.org/10.5194/hess-28-4035-2024, 2024
Short summary
Identification of parameter importance for benzene transport in the unsaturated zone using global sensitivity analysis
Meirav Cohen, Nimrod Schwartz, and Ravid Rosenzweig
Hydrol. Earth Syst. Sci., 28, 1585–1604, https://doi.org/10.5194/hess-28-1585-2024,https://doi.org/10.5194/hess-28-1585-2024, 2024
Short summary
Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data
Lukas Strebel, Heye Bogena, Harry Vereecken, Mie Andreasen, Sergio Aranda-Barranco, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 28, 1001–1026, https://doi.org/10.5194/hess-28-1001-2024,https://doi.org/10.5194/hess-28-1001-2024, 2024
Short summary
A comprehensive study of deep learning for soil moisture prediction
Yanling Wang, Liangsheng Shi, Yaan Hu, Xiaolong Hu, Wenxiang Song, and Lijun Wang
Hydrol. Earth Syst. Sci., 28, 917–943, https://doi.org/10.5194/hess-28-917-2024,https://doi.org/10.5194/hess-28-917-2024, 2024
Short summary
Modeling stable and unstable flow in unsaturated porous media for different infiltration rates
Jakub Kmec and Miloslav Šír
EGUsphere, https://doi.org/10.5194/egusphere-2023-2785,https://doi.org/10.5194/egusphere-2023-2785, 2024
Short summary

Cited articles

Albergel, C., Dutra, E., Munier, S., Calvet, J.-C., Munoz-Sabater, J., de Rosnay, P., and Balsamo, G.: ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?, Hydrol. Earth Syst. Sci., 22, 3515–3532, https://doi.org/10.5194/hess-22-3515-2018, 2018. 
Battistini, A., Segoni, S., Manzo, G., Catani, F., and Casagli, N. J. A. G.: Web data mining for automatic inventory of geohazards at national scale, Appl. Geogr., 43, 147–158, 2013. 
Berry, P., Garlick, J., and Smith, R.: Near-global validation of the SRTM DEM using satellite radar altimetry, Remote Sens. Environ., 106, 17–27, 2007. 
Berti, M., Martina, M., Franceschini, S., Pignone, S., Simoni, A., and Pizziolo, M.: Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach, J. Geophys. Res.-Ea. Surf., 117, F04006, https://doi.org/10.1029/2012JF002367, 2012. 
Bertolini, G., Guida, M., and Pizziolo, M. J. L.: Landslides in Emilia-Romagna region (Italy): strategies for hazard assessment and risk management, Landslides, 2, 302–312, 2005. 
Download
Short summary
This study assesses the usability of WRF model-simulated soil moisture for landslide monitoring in northern Italy. In particular, three advanced land surface model schemes (Noah, Noah-MP, and CLM4) are used to provide multi-layer soil moisture data. The results have shown Noah-MP can provide the best landslide monitoring performance. It is also demonstrated that a single soil moisture sensor located in plain area has a high correlation with a significant proportion of the study area.