- 著者
- Kozo Okamoto Hiromi Owada Tadashi Fujita Masahiro Kazumori Michiko Otsuka Hiromu Seko Yoshifumi Ota Naotaka Uekiyo Hiroshi Ishimoto Masahiro Hayashi Haruma Ishida Akiyoshi Ando Masaya Takahashi Kotaro Bessho Hironobu Yokota
- 出版者
- Meteorological Society of Japan
- 雑誌
- SOLA (ISSN:13496476)
- 巻号頁・発行日
- vol.16, pp.162-168, 2020 (Released:2020-09-05)
- 参考文献数
- 21
- 被引用文献数
- 14
To discuss the feasibility of the Himawari follow-on program, impacts of a hyperspectral sounder on a geostationary satellite (GeoHSS) is assessed using an observing system simulation experiment. Hypothetical GeoHSS observations are simulated by using an accurate reanalysis dataset for a heavy rainfall event in western Japan in 2018. The global data assimilation experiment demonstrates that the assimilation of clear-sky radiances of the GeoHSS improves the forecasts of the representative meteorological field and slightly reduces the typhoon position error. The regional data assimilation experiment shows that assimilating temperature and relative humidity profiles derived from the GeoHSS improves the heavy rainfall in the Chugoku region of western Japan as a result of enhanced southwesterly moisture flow off the northwestern coast of the Kyushu Island. These results suggest that the GeoHSS provides valuable information on frequently available vertically resolved temperature and humidity and thus improves the forecasts of severe events.
- 著者
- Kozo Okamoto Hiromi Owada Tadashi Fujita Masahiro Kazumori Michiko Otsuka Hiromu Seko Yoshifumi Ota Naotaka Uekiyo Hiroshi Ishimoto Masahiro Hayashi Haruma Ishida Akiyoshi Ando Masaya Takahashi Kotaro Bessho Hironobu Yokota
- 出版者
- Meteorological Society of Japan
- 雑誌
- SOLA (ISSN:13496476)
- 巻号頁・発行日
- pp.2020-028, (Released:2020-07-10)
- 被引用文献数
- 14
To discuss the feasibility of the Himawari follow-on program, impacts of a hyperspectral sounder on a geostationary satellite (GeoHSS) is assessed using an observing system simulation experiment. Hypothetical GeoHSS observations are simulated by using an accurate reanalysis dataset for a heavy rainfall event in western Japan in 2018. The global data assimilation experiment demonstrates that the assimilation of clear-sky radiances of the GeoHSS improves the forecasts of the representative meteorological field and slightly reduces the typhoon position error. The regional data assimilation experiment shows that assimilating temperature and relative humidity profiles derived from the GeoHSS improves the heavy rainfall in the Chugoku region of western Japan as a result of enhanced southwesterly moisture flow off the northwestern coast of the Kyushu Island. These results suggest that the GeoHSS provides valuable information on frequently available vertically resolved temperature and humidity and thus improves the forecasts of severe events.