Articles | Volume 23, issue 10
https://doi.org/10.5194/hess-23-4199-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-4199-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Oct 2019
Research article |
| 18 Oct 2019
| 18 Oct 2019
Assessment of simulated soil moisture from WRF Noah, Noah-MP, and CLM land surface schemes for landslide hazard application
Key Laboratory of VGE of Ministry of Education, Nanjing Normal
University, Nanjing, China
WEMRC, Department of Civil Engineering, University of Bristol,
Bristol, UK
Department of Civil and Structural Engineering, University of
Sheffield, Sheffield, UK
Qiang Dai
CORRESPONDING AUTHOR
Key Laboratory of VGE of Ministry of Education, Nanjing Normal
University, Nanjing, China
WEMRC, Department of Civil Engineering, University of Bristol,
Bristol, UK
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing, China
Dawei Han
WEMRC, Department of Civil Engineering, University of Bristol,
Bristol, UK
Ningsheng Chen
The Institute of Mountain Hazards and Environment (IMHE), Sichuan, China
Binru Zhao
WEMRC, Department of Civil Engineering, University of Bristol,
Bristol, UK
College of Water Conservancy and Hydropower Engineering, Hohai
University, Nanjing, China
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Cited
38 citations as recorded by crossref.
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37 citations as recorded by crossref.
- Precipitation-induced landslide risk escalation in China’s urbanization with high-resolution soil moisture and multi-source precipitation product K. He et al. 10.1016/j.jhydrol.2024.131536
- Prototype of an IoT-Based Low-Cost Sensor Network for the Hydrological Monitoring of Landslide-Prone Areas P. Marino et al. 10.3390/s23042299
- Impact of Noah-LSM Parameterizations on WRF Mesoscale Simulations: Case Study of Prevailing Summer Atmospheric Conditions over a Typical Semi-Arid Region in Eastern Spain I. Gómez et al. 10.3390/su132011399
- Sensitivity of horizontal resolution and land surface model in operational WRF forecast for Online Nuclear Emergency Response System (ONERS) S. Karmakar et al. 10.1007/s00703-024-01032-0
- iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction G. Chen et al. 10.5194/gmd-16-2915-2023
- High-resolution WRF forecasts in the SmartAQ system: Evaluation of the meteorological forcing used for PMCAMx predictions in an urban area A. Pappa et al. 10.1016/j.atmosres.2023.107041
- WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America A. García-García et al. 10.5194/gmd-15-413-2022
- Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
- Assessing the maximum potential cooling benefits of irrigation in Australia during the “Angry Summer” of 2012/2013 J. Kala et al. 10.1016/j.wace.2022.100538
- Downscaled GRACE/GRACE-FO observations for spatial and temporal monitoring of groundwater storage variations at the local scale using machine learning S. Ali et al. 10.1016/j.gsd.2024.101100
- Definition of 3D rainfall thresholds to increase operative landslide early warning system performances A. Rosi et al. 10.1007/s10346-020-01523-2
- Performance of Seven Land Surface Schemes in the WRFv4.3 Model for Simulating Precipitation in the Record‐Breaking Meiyu Season Over the Yangtze–Huaihe River Valley in China Z. Di et al. 10.1029/2022GH000757
- Reanalysis of Soil Moisture Used for Rainfall Thresholds for Rainfall-Induced Landslides: The Italian Case Study N. Bezak et al. 10.3390/w13141977
- Quantifying Contributions of Uncertainties in Physical Parameterization Schemes and Model Parameters to Overall Errors in Noah‐MP Dynamic Vegetation Modeling J. Li et al. 10.1029/2019MS001914
- From empirically to physically based early warning predictions of rainfall-induced landslides in silty volcanic soils: the Lattari Mountains case study G. Rianna et al. 10.1007/s10064-023-03228-x
- An inverse dielectric mixing model at 50 MHz that considers soil organic carbon C. Park et al. 10.5194/hess-25-6407-2021
- Land Surface Physics-Based Downscaling Approach for Agricultural Meteorological Prediction: Applicability for Tropical-Monsoon Region, the Red River Delta, Vietnam D. Nguyen et al. 10.2151/sola.2023-039
- Assessing the numerical weather prediction (NWP) model in estimating extreme rainfall events: A case study for severe floods in the southwest Mediterranean region, Turkey A. Ozkaya 10.1007/s12040-023-02137-7
- Soil moisture sensor network design for hydrological applications L. Zhuo et al. 10.5194/hess-24-2577-2020
- Impacts of climate change on terrestrial hydrological components and crop water use in the Chesapeake Bay watershed P. Modi et al. 10.1016/j.ejrh.2021.100830
- Developing spin-up time framework for WRF extreme precipitation simulations Y. Liu et al. 10.1016/j.jhydrol.2023.129443
- Impact of alternative soil data sources on the uncertainties in simulated land-atmosphere interactions Z. Zhang et al. 10.1016/j.agrformet.2023.109565
- Improve the Performance of the Noah‐MP‐Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data T. Xu et al. 10.1029/2020MS002394
- Introducing NARCliM1.5: Evaluation and projection of climate extremes for southeast Australia F. Ji et al. 10.1016/j.wace.2022.100526
- 7 February Chamoli (Uttarakhand, India) Rock-Ice Avalanche Disaster: Model-Simulated Prevailing Meteorological Conditions P. Srivastava et al. 10.3390/atmos13020267
- To develop a progressive multimetric configuration optimisation method for WRF simulations of extreme rainfall events over Egypt Y. Liu et al. 10.1016/j.jhydrol.2021.126237
- Global Evaluation of the Noah‐MP Land Surface Model and Suggestions for Selecting Parameterization Schemes J. Li et al. 10.1029/2021JD035753
- Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al. 10.5194/hess-25-4585-2021
- An assessment of statistical interpolation methods suited for gridded rainfall datasets Y. Liu et al. 10.1002/joc.7389
- Sensitivity of localized heavy rainfall in Northern Japan to WRF physics parameterization schemes Y. Hiraga & R. Tahara 10.1016/j.atmosres.2024.107802
- Assessment of Land Surface Schemes from the WRF-Chem for Atmospheric Modeling in the Andean Region of Ecuador R. Parra 10.3390/atmos14030508
- A Retrospective and Prospective Examination of the 1960s U.S. Northeast Drought Z. Xue & P. Ullrich 10.1029/2020EF001930
- Performance of the WRF model in simulating convective rainfall events in the humid subtropical monsoon climate region—Poyang Lake basin J. Wu et al. 10.1007/s00704-023-04508-y
- Assessing the potential of different satellite soil moisture products in landslide hazard assessment B. Zhao et al. 10.1016/j.rse.2021.112583
- Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability C. He et al. 10.5194/gmd-16-5131-2023
- Analysis of Effects of Spatial Distributed Soil Properties and Soil Moisture Behavior on Hourly Streamflow Estimate through the Integration of SWAT and LSM S. Lee et al. 10.3390/su16041691
- Atmospheric triggering conditions and climatic disposition of landslides in Kyrgyzstan and Tajikistan at the beginning of the 21st century X. Wang et al. 10.5194/nhess-21-2125-2021
Latest update: 23 Nov 2024
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.
This study assesses the usability of WRF model-simulated soil moisture for landslide monitoring...
