Relationship between Precipitation Core Behavior in Cumulonimbus Clouds and Surface Rainfall Intensity on 18 August 2011 in the Kanto Region, Japan-Reference-Cited by-同舟云学术

Relationship between Precipitation Core Behavior in Cumulonimbus Clouds and Surface Rainfall Intensity on 18 August 2011 in the Kanto Region, Japan

Published:2015 Issue:2 Volume:93 Page:215-228
ISSN:0026-1165
Container-title:Journal of the Meteorological Society of Japan. Ser. II
language:en
Short-container-title:Journal of the Meteorological Society of Japan

Author:

SHUSSE Yukari¹,MAKI Masayuki¹,SHIMIZU Shingo¹,IWANAMI Koyuru¹,MAESAKA Takeshi¹,SUZUKI Shin-ichi¹,SAKURAI Namiko¹,MISUMI Ryohei¹

Affiliation:

1. National Research Institute for Earth Science and Disaster Prevention, Tsukuba, Japan

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Link

https://www.jstage.jst.go.jp/article/jmsj/93/2/93_2015-012/_pdf

Reference16 articles.

1. Atlas, D., R. S. Srivastava, and R. S. Sekhon, 1973: Doppler radar characteristics of precipitation at vertical incidence. Rev. Geophys. Space Phys., 11, 1-35.

2. Bringi, V. N., R. M. Rasmussen, and J. Vivekanandan, 1986: Multiparameter radar measurements in Colorado convective storms. Part I: Graupel melting studies. J. Atmos. Sci. 43, 2545-2563.

3. Chisholm, A. J., and J. H. Renick, 1972: Supercell and multicell Alberta hailstorms. Proc. Int. Cloud Phys. Conf., 1-8.

4. Hirano, K., and M. Maki, 2010: Method of VIL calculation for X-band polarimetric radar and potential of VIL for nowcasting of localized severe rainfall -Case study of the Zoshigaya downpour, 5 August 2008-. SOLA, 6, 89-92.

5. Ishihara, M., 2012a: Radar echo population of thunderstorms generated on the 2008 Zoshigaya-rainstorm day and nowcasting of thunderstorm-induced local heavy rainfalls. Part I: Three-dimensional radar echo population of the thunderstorms. Tenki, 59, 549-561 (in Japanese).

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