抄録
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.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | Landslide Dynamics |
| ホスト出版物のサブタイトル | ISDR-ICL Landslide Interactive Teaching Tools: Volume 1: Fundamentals, Mapping and Monitoring |
| 出版社 | Springer International Publishing |
| ページ | 415-423 |
| ページ数 | 9 |
| ISBN（電子版） | 9783319577746 |
| ISBN（印刷版） | 9783319577739 |
| DOI | |
| 出版ステータス | Published - 2017 1 1 |
| 外部発表 | はい |
ASJC Scopus subject areas
- 地球惑星科学（全般）
- 環境科学（全般）
- 工学（全般）
- 社会科学（全般）