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Polarimetric Radar Observation of the Melting Layer in a Convective Rainfall System during the Rainy Season over the East China Sea

Source: Journal of Applied Meteorology and Climatology:;2010:;volume( 050 ):;issue: 002:;page 354

Author(s): Shusse, Yukari; Takahashi, Nobuhiro; Nakagawa, Katsuhiro; Satoh, Shinsuke; Iguchi, Toshio

Publisher: American Meteorological Society

Abstract: During the rainy season over the East China Sea, convective rainfalls often show melting layer (ML) characteristics in polarimetric radar variables. In this research, the appearance ratio of the ML (the ratio of rainfall ...

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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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Polarimetric Radar Observation of the Melting Layer in a Convective Rainfall System during the Rainy Season over the East China Sea

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

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Polarimetric Radar Observation of the Melting Layer in a Convective Rainfall System during the Rainy Season over the East China Sea

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