Most of tragic landslides are caused by heavy rainfall. Reliable rainfall prediction is thus invaluable for early warning. This paper describes a recent development of our next generation numerical weather prediction model-the Multi-Scale Simulator for the Geoenvironment (MSSG)-after introducing general information about numerical weather prediction models. The MSSG can be categorized as a global cloud-resolving model that can be used for global simulation with high-resolutions without the aid of cumulus parameterization. MSSG is thus expected to have a good skill for local rainfall prediction as well as for long-term prediction. This paper also shows a couple of examples that show a good prediction skill of MSSG and a powerful physics scheme implemented in MSSG for the research on local rainfalls.
CITATION STYLE
Onishi, R., Matsuda, K., & Takahashi, K. (2017). TXT-tool 2.081-5.1: High-Resolution rainfall prediction for early warning of landslides. In Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools: Volume 1: Fundamentals, Mapping and Monitoring (pp. 415–423). Springer International Publishing. https://doi.org/10.1007/978-3-319-57774-6_31
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