Assessment of simulated soil moisture from WRF Noah, Noah-MP, and CLM land surface schemes for landslide hazard application

Zhuo, Lu; Dai, Qiang; Han, Dawei; Chen, Ningsheng; Zhao, Binru

doi:https://doi.org/10.5194/hess-23-4199-2019

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.

https://doi.org/10.5194/hess-23-4199-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 10

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

Data sets

DEXT3R Emilia-Romagna data http://www.smr.arpa.emr.it/dext3r/

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.