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Early Detection of Convective Echoes and Their Development Using a Ka-Band Radar Network

Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 001:;page 253

Author(s): Yoshida, Syo;Misumi, Ryohei;Maesaka, Takeshi

Publisher: American Meteorological Society

Structure and Formation Mechanism on the 24 May 2000 Supercell-Like Storm Developing in a Moist Environment over the Kanto Plain, Japan

Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 007:;page 2389

Author(s): Shimizu, Shingo; Uyeda, Hiroshi; Moteki, Qoosaku; Maesaka, Takeshi; Takaya, Yoshimasa; Akaeda, Kenji; Kato, Teruyuki; Yoshizaki, Masanori

Publisher: American Meteorological Society

Abstract: The structure and formation mechanism of a supercell-like storm in a moist environment below a melting layer were investigated using dual-Doppler radar analysis and a cloud-resolving storm simulator (CReSS). The supercell-like ...

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Nowcasting Multiparameter Phased-Array Weather Radar (MP-PAWR) Echoes of Localized Heavy Precipitation Using a 3D Recurrent Neural Network Trained with an Adversarial Technique

Source: Journal of Atmospheric and Oceanic Technology:;2023:;volume( 040 ):;issue: 007:;page 803

Author(s): Baron, Philippe; Kawashima, Kohei; Kim, Dong-Kyun; Hanado, Hiroshi; Kawamura, Seiji; Maesaka, Takeshi; Nakagawa, Katsuhiro; Satoh, Shinsuke; Ushio, Tomoo

Publisher: American Meteorological Society

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Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient Cities

Source: Bulletin of the American Meteorological Society:;2015:;volume( 096 ):;issue: 008:;page ES123

Author(s): Nakatani, Tsuyoshi; Misumi, Ryohei; Shoji, Yoshinori; Saito, Kazuo; Seko, Hiromu; Seino, Naoko; Suzuki, Shin-ichi; Shusse, Yukari; Maesaka, Takeshi; Sugawara, Hirofumi

Publisher: American Meteorological Society

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Early Detection of Convective Echoes and Their Development Using a Ka-Band Radar Network

Structure and Formation Mechanism on the 24 May 2000 Supercell-Like Storm Developing in a Moist Environment over the Kanto Plain, Japan

Nowcasting Multiparameter Phased-Array Weather Radar (MP-PAWR) Echoes of Localized Heavy Precipitation Using a 3D Recurrent Neural Network Trained with an Adversarial Technique

Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient Cities

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Early Detection of Convective Echoes and Their Development Using a Ka-Band Radar Network

Structure and Formation Mechanism on the 24 May 2000 Supercell-Like Storm Developing in a Moist Environment over the Kanto Plain, Japan

Nowcasting Multiparameter Phased-Array Weather Radar (MP-PAWR) Echoes of Localized Heavy Precipitation Using a 3D Recurrent Neural Network Trained with an Adversarial Technique

Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient Cities