Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Landslide Dynamics |
| Subtitle of host publication | ISDR-ICL Landslide Interactive Teaching Tools: Volume 1: Fundamentals, Mapping and Monitoring |
| Publisher | Springer International Publishing |
| Pages | 415-423 |
| Number of pages | 9 |
| ISBN (Electronic) | 9783319577746 |
| ISBN (Print) | 9783319577739 |
| DOIs | |
| Publication status | Published - 2017 Jan 1 |
| Externally published | Yes |
Keywords
- Earth simulator
- Multi-scale weather simulation
- Orographic precipitation
- Turbulence enhancement of cloud development
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Environmental Science(all)
- Engineering(all)
- Social Sciences(all)