Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Takeshi Maesaka"'
Publikováno v:
Atmospheric Science Letters, Vol 22, Iss 7, Pp n/a-n/a (2021)
Abstract The seeder–feeder interactions (SFIs), where raindrops from upper clouds grow by accreting cloud droplets in the lower clouds, have been extensively studied. However, there are few studies on the modification of raindrop size distribution
Externí odkaz:
https://doaj.org/article/62b9efda667c4508adedbccdd3aba29b
Autor:
Ryohei Kato, Shingo Shimizu, Tadayasu Ohigashi, Takeshi Maesaka, Ken-ichi Shimose, Koyuru Iwanami
Publikováno v:
Weather and Forecasting. 37:1553-1566
Meso-γ-scale (2–20 km) local heavy rain (LHR) can cause fatalities through the sudden rise of rivers and flooding of roads. To help prevent this loss of life, we developed prediction methods for these types of meteorological hazards. We assimilate
Autor:
Philippe Baron, Kouhei Kawashima, Dong-Kyun Kim, Hiroshi Hanado, Takeshi Maesaka, Shinsuke Satoh, Seiji Kawamura, Tomoo Ushio
Temporal extrapolation of radar observations of precipitation is a means of nowcasting sudden localized heavy rains, i.e., restricted convective rains on a spatial scale of less than 10 km and a lifetime of a few tens of minutes. Such nowcasts are ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f912fd99e54d37a9791e2926a594e8d
https://doi.org/10.5194/egusphere-egu23-5831
https://doi.org/10.5194/egusphere-egu23-5831
Autor:
Philippe Baron, Kohei Kawashima, Dong-Kyun Kim, Hiroshi Hanado, Seiji Kawamura, Takeshi Maesaka, Katsuhiro Nakagawa, Shinsuke Satoh, Tomoo Ushio
Publikováno v:
Journal of Atmospheric and Oceanic Technology.
We present nowcasts of sudden heavy rains on meso-γ-scales (2–20 km) using the high spatio-temporal resolution of a Multi-Parameter Phased-Array Weather Radar (MP-PAWR) sensitive to rain droplets. The onset of typical storms is successfully predic
Autor:
Takeshi Maesaka, Ken-ichi Shimose, Shingo Shimizu, Paul R. Krehbiel, Namiko Sakurai, Daniel Rodeheffer, William Rison, Yasushi Uji, Shin-ichi Suzuki, Koyuru Iwanami
Publikováno v:
Journal of Disaster Research. 16:778-785
The National Research Institute for Earth Science and Disaster Resilience deployed a lightning mapping array (LMA) in the Tokyo metropolitan area in March 2017. Called the “Tokyo LMA,” it obtains detailed three-dimensional observations of the tot
Publikováno v:
Weather and Forecasting. 36:253-264
Cumulonimbus clouds, which cause local heavy rainfall and urban floods, can develop within 20 min after being detected by operational centimeter-wavelength (X-, C-, or S-band) weather radars. To detect such clouds with greater lead times, Ka-band rad
Autor:
Koyuru Iwanami, Yukari Shusse, Takeshi Maesaka, Tadayasu Ohigashi, Shin-ichi Suzuki, Namiko Sakurai
Publikováno v:
Journal of the Meteorological Society of Japan. Ser. II. 99:101-112
Autor:
Shinsuke Satoh, Tomoo Ushio, Katsuhiro Nakagawa, Takeshi Maesaka, Hiroshi Hanado, Philippe Baron, Tomoaki Mega, Eiichi Yoshikawa, Kohei Kawashima, Dong-Kyun Kim, Seiji Kawamura
Publikováno v:
SPIE Future Sensing Technologies 2021.
Under the Japanese Cross Strategic Innovation Promotion Program (SIP), studies are conducted to perform very short-term predictions of local torrential rains based on a new multi-parameter phased-array weather radar (MP-PAWR) and deep neural networks
Autor:
Hiroshi Hanado, Dong-Kyun Kim, Seiji Kawamura, Philippe Baron, Tomoo Ushio, Takeshi Maesaka, Katsuhiro Nakagawa
Publikováno v:
Remote Sensing of Clouds and the Atmosphere XXVI.
This study is about the development of a deep neural network to make very short-term predictions of torrential rains at the urban scale (meso-γ). The new polarimetric Phased Array Weather Radar (MP-PAWR) operating at Saitama (Japan) since 2018 is us
Autor:
Yukari Shusse, Ryohei Kato, Takeshi Maesaka, Shin-ichi Suzuki, Kaori Kieda, Shingo Shimizu, Namiko Sakurai, Koyuru Iwanami
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 145:2139-2160