Rchr
J-GLOBAL ID：202401007291784500
Update date: Oct. 12, 2024
Takami Kazuya
タカミ カズヤ | Takami Kazuya
Affiliation and department：
Job title：
Assistant Senior Researcher
Research field (1)：
Hydroengineering
Research theme for competitive and other funds (1)：
- 2024 - 2028 Understanding Self-Organization Mechanism of Line-Shaped Rainband Interwoven with Microturbulence and Its Predictability
Papers (5)：
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Kazuya Takami, Rimpei Kamamoto, Kenji Suzuki, Kosei Yamaguchi, Eiichi Nakakita. Relationship between Newly Fallen Snow Density and Polarimetric Parameters Obtained from X-Band Radar Observations along the Sea of Japan Coast in January 2021. Journal of Atmospheric and Oceanic Technology. 2024. 41. 10. 935-951
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Kazuya Takami, Rimpei Kamamoto, Kenji Suzuki, Kosei Yamaguchi, Eiichi Nakakita. Relationship between newly fallen snow density and degree of riming estimated by particles’ fall speed in Niigata Prefecture, Japan. Hydrological Research Letters. 2022. 16. 4. 87-92
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高見和弥, 竃本倫平, 鈴木賢士, 山口弘誠, 中北英一. EVALUATE TO VERTICAL GRADIENT OF RADAR REFLECTIVITY ABOVE FREEZING LEVEL ON WINTER PRECIPITATION EVENTS FOCUSING ON SPECIFIC DIFFERENTIAL PHASE. 土木学会論文集 B1(水工学)(Web). 2022. 78. 2
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高見和弥, 鈴木賢士, 山口弘誠, 中北英一. ESTIMATION OF FREEZING LEVEL USING POLARIMETRIC RADAR TO DETERMINE THE TYPE OF PRECIPITATION IN WINTER SEASON. 土木学会論文集 B1(水工学)(Web). 2020. 76. 2
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山口弘誠, 高見和弥, 井上実, 中北英一. 豪雨の「種」を捉えるための都市効果を考慮するLES気象モデルの開発. 土木学会論文集 B1(水工学)(Web). 2016. 72. 4
MISC (11)：
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高見 和弥. 令和5年度水文・水資源学会論文奨励賞を受賞して. 水文・水資源学会誌. 2024. 37. 1. 28-29
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TAKAMI Kazuya. Challenges in Snowfall Observation. JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES. 2023. 36. 2. 165-165
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TAKAMI, Kazuya, KAMAMOTO, Rinpei, SUZUKI, Kenji, YAMAGUCHI, Kosei, NAKAKITA, Eiichi. The Density of Newly Fallen Snow and K-band Vertical Radar Observation in Niigata Prefecture, Japan. Disaster Prevention Research Institute Annuals. B. 2022. 65. B. 278-284
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TAKAMI, Kazuya, SUZUKI, Kenji, YAMAGUCHI, Kosei, NAKAKITA, Eiichi. Comparison of Polarimetric Parameters in Melting Layer and Particles Diameter Using X-band Polarimetric Radar RHI Observation. Disaster Prevention Research Institute Annuals. B. 2021. 64. B. 181-186
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高見和弥, 佐藤亮太, 高橋大介, 鈴木賢士. 運行管理に活かす鉄道の防災・減災技術 レーダー情報から雪の乾湿を推定して鉄道の雪害対策に役立てる. RRR. 2021. 78. 6
ｍore...
Education (3)：
- 2019 - 2023 Kyoto University Graduate School of Engineering Department of Civil and Earth Resources Engineering
- 2014 - 2016 Kyoto University Graduate School of Engineering Department of Civil and Earth Resources Engineering
- 2010 - 2014 Kyoto University Faculty of Engineering School of Global Engineering
Professional career (1)：
Work history (1)：
- 2016/04 - 現在 Railway Technical Research Institute
Awards (1)：
- 2023/09 - 水文・水資源学会 水文・水資源学会論文奨励賞
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