K
Kisei Kinoshita
Researcher at Kagoshima University
Publications - 52
Citations - 874
Kisei Kinoshita is an academic researcher from Kagoshima University. The author has contributed to research in topics: Volcano & Diquark. The author has an hindex of 11, co-authored 52 publications receiving 842 citations. Previous affiliations of Kisei Kinoshita include Kyushu University & Bielefeld University.
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Ground-based network observation of Asian dust events of April 1998 in east Asia
Toshiyuki Murayama,Nobuo Sugimoto,Itsushi Uno,Kisei Kinoshita,Kazuma Aoki,Naseru Hagiwara,Zhaoyan Liu,Ichiro Matsui,Tetsu Sakai,Takashi Shibata,Kimio Arao,Byung-Ju Sohn,Jae Gwang Won,Soon-Chang Yoon,Tao Li,Jun Zhou,Huanling Hu,Makoto Abo,Kengo Iokibe,Ryuji Koga,Yasunobu Iwasaka +20 more
TL;DR: In this paper, a ground-based network that has been in use since 1997 to observe Asian dust during springtime is described, and the results of the observation are discussed regarding the transport mechanism of Asian dust in east Asia using an online tracer model.
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Trans‐Pacific yellow sand transport observed in April 1998: A numerical simulation
TL;DR: In this paper, a new online dust tracer model coupled with a regional-scale meteorological model is developed and applied to a yellow sand transport episode from the Asian continent to Japan and North America which occurred in April 1998.
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Observation of flow and dispersion of volcanic clouds from Mt. Sakurajima
TL;DR: In this paper, a brief overview is presented concerning the rise and atmospheric diffusion of volcanic clouds from Mt. Sakurajima in Kyushu, Japan, mainly in the altitudes 1-4 km above the sea level, on the basis of remote sensing data from satellites and visual data of video records and photo pictures.
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Detection of Asian dust aerosols using meteorological satellite data and suspended particulate matter concentrations
TL;DR: The advection and dispersion of Asian dust events from China to the Pacific Ocean around Japan during 2000-2002 were investigated using the meteorological satellite data of NOAA/AVHRR and GMS-5/VISSR.
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Leading Particle Spectra on Nuclear Targets and Multi-Chain Model
TL;DR: In this paper, a multi-chain model with sequential collision of the leading cluster was proposed to analyze the leading nucleon spectra on nuclear targets, and it was shown that the model can successfully repro-duce both the leading particle spectra and the charged particle distribution.