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 |
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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月 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)