the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modelling of post-monsoon drying in Nepal: implications for landslide hazard
Abstract. Soil moisture is a key preconditioning factor influencing hillslope stability and the initiation of landslides. Direct measurements of soil moisture on a large scale are logistically complicated, expensive, and therefore sparse, resulting in large data gaps. In this study, we calibrate a numerical land surface model to improve our representation of post-monsoon soil drying in landslide-prone Nepal. We use a parameter perturbation experiment to identify optimal parameter sets at three field monitoring sites and evaluate the performance of those optimal parameter sets at each location. This process enables the calibration of key soil hydraulic parameters, in particular a higher hydraulic conductivity and a lower saturation moisture content relative to the default parameter setting. Runs with the calibrated model parameters provide a substantially more accurate (50 % or greater reduction in root mean squared error) soil moisture record than those with the default model parameters, even when calibrated from sites as much as 250 km apart. This process enables meaningful calculation of post-monsoon soil moisture decay at locations with no in situ monitoring, so as to inform a key component of landslide susceptibility mapping in Nepal and other regions where field measurements of soil moisture are limited.
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Status: final response (author comments only)
- RC1: 'Comment on egusphere-2024-397', Anonymous Referee #1, 22 Apr 2024
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RC2: 'Comment on egusphere-2024-397', Anonymous Referee #2, 18 Jul 2024
The objective of this research is to explore the feasibility of using sparse field observations to calibrate the more accurate soil moisture and thus improve the accuracy of landslide forecasting in Nepal. It is of some significance for landslide susceptibility mapping in Nepal and other regions where field measurements of soil moisture are limited.
However, there are some errors/suggestions should be modified in the manuscript:
- Could you please give the correlation between soil moisture and landslide susceptibility? Which is very important for this research.
- I recommend you add a section of “Application”, in which, you can use your model to make a “landslide susceptibility mapping in the study area” to highlight your work’s importance.
- P13, Figure 6. Please give the meaning of figure a, b, c, d and e in the figure name.
- P14, Figure 7. Please give the meaning of figure a, b, c, d and e in the figure name. Please also explain the meaning of different colors in the figure name.
5. P15, Figure 8. Please give the meaning of figure a, b, c, d and e in the figure name. Please also explain the meaning of different colors in the figure name.
Citation: https://doi.org/10.5194/egusphere-2024-397-RC2
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