Hourly estimation of water reaching the ground surface in snow-covered regions of Japan using mesoscale meteorological data with the heat balance method

• Model proposed to estimate water reaching ground surface in snow-covered areas. • Snowmelt estimated using the heat balance method and mesoscale meteorological data. • The model runs on an hourly basis. • Comparison with observed data ensured the validity of the model. • The model can effectively reduce snowmelt-induced landslide damage. In snow-covered regions, landslides, including debris flows, frequently result from snowmelt and cause significant hazards. Because these snowmelt-induced landslides are triggered by increasing groundwater level and pore-water pressure acting on the slip surface due to infiltration of snowmelt, sometimes mixed with rainwater, accurate estimation of water reaching the ground surface (abbreviated MR in this study) on an hourly basis is essential for developing countermeasures such as an early warning system. This study introduces a model for estimating hourly MR , as well as snow water equivalent and snow depth, using mesoscale meteorological data provided by the Japan Meteorological Agency. The model considers four processes: precipitation, snow accumulation and densification, snowmelt, and infiltration. In the snowmelt process, snowmelt is estimated using the heat balance method. We applied the model to a snow observation station in Niigata Prefecture, central Japan, where MR , snow water equivalent, and snow depth were observed during the winter seasons of 2017–18 through 2020–21. Comparisons of observed and calculated values demonstrated that the model successfully reproduced the observations, regardless of the amount of snowfall in individual winter seasons. We propose that this model can estimate hourly MR , snow water equivalent, and snow depth at any location in snow-covered regions where on-site meteorological and snow observations are unavailable.

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Publication Details

Journal
Journal of Hydrology
Published
2024-08-30
DOI
https://doi.org/10.1016/j.jhydrol.2024.131898
Citations
2
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
1.42

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article

Hourly estimation of water reaching the ground surface in snow-covered regions of Japan using mesoscale meteorological data with the heat balance method

Takamasa Matsunaga, Shin’ya Katsura
2 citations
Journal of Hydrology
Landslides and related hazards
1.42
article

Hourly estimation of water reaching the ground surface in snow-covered regions of Japan using mesoscale meteorological data with the heat balance method

Takamasa Matsunaga, Shin’ya Katsura
article en
2 citations

Abstract

• Model proposed to estimate water reaching ground surface in snow-covered areas. • Snowmelt estimated using the heat balance method and mesoscale meteorological data. • The model runs on an hourly basis. • Comparison with observed data ensured the validity of the model. • The model can effectively reduce snowmelt-induced landslide damage. In snow-covered regions, landslides, including debris flows, frequently result from snowmelt and cause significant hazards. Because these snowmelt-induced landslides are triggered by increasing groundwater level and pore-water pressure acting on the slip surface due to infiltration of snowmelt, sometimes mixed with rainwater, accurate estimation of water reaching the ground surface (abbreviated MR in this study) on an hourly basis is essential for developing countermeasures such as an early warning system. This study introduces a model for estimating hourly MR , as well as snow water equivalent and snow depth, using mesoscale meteorological data provided by the Japan Meteorological Agency. The model considers four processes: precipitation, snow accumulation and densification, snowmelt, and infiltration. In the snowmelt process, snowmelt is estimated using the heat balance method. We applied the model to a snow observation station in Niigata Prefecture, central Japan, where MR , snow water equivalent, and snow depth were observed during the winter seasons of 2017–18 through 2020–21. Comparisons of observed and calculated values demonstrated that the model successfully reproduced the observations, regardless of the amount of snowfall in individual winter seasons. We propose that this model can estimate hourly MR , snow water equivalent, and snow depth at any location in snow-covered regions where on-site meteorological and snow observations are unavailable.

Journal of HydrologyVol. 644
Hokkaido University (JP), Public Works Research Institute (JP)
River Foundation, Japan Society for the Promotion of Science
Openalex Percentile: Top 15%
Landslides and related hazards
1.42
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