- Citations, last 5 years
- 10.1k
- Works, last 5 years
- 1 321
- h-index
- 222
- Scientists listed
- 0
- Grants since 2016
- 150
Grants received
2024–2029 · research · Grant-in-Aid for Scientific Research (A)
Understanding detailed four-dimensional structure of atmospheric field by infrared spectral observation
芳文 太田 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2024–2028 · research · Grant-in-Aid for Scientific Research (B)
Elucidating the mechanism of impacts of the stratospheric quasi-biennial oscillation on the surface using state-of-the-art observations and climate models
康平 吉田 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2024–2026 · fellowship · Grant-in-Aid for JSPS Fellows
Statistical modeling and risk assessment of extreme wind events in Japan: An Extreme Va lue Theory
敏之 仲江川 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2024–2027 · research · Grant-in-Aid for Scientific Research (B)
雪の再分配を考慮した気象・積雪モデルが解き明かす北アルプスの高山環境の維持機構
宏明 川瀬 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2024–2026 · research · Grant-in-Aid for Scientific Research (B)
New strategy for event attribution to estimate the dynamical impact of global warming on atmospheric circulation
由紀子 今田 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2024–2026 · research · Grant-in-Aid for Scientific Research (B)
Meteorological downscaling and atmospheric environment prediction using deep learning
剛 関山 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2024–2028 · research · Grant-in-Aid for Scientific Research (B)
Optical environment inside the sea ice for the advancement of ocean models
朋範 谷川 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2023–2028 · research · Grant-in-Aid for Scientific Research (S)
Seamless understanding of nonlinear meteorology-chemistry processes based on multifaceted observations using low-altitude isolated peaks
瑞王 梶野 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2023–2026 · research · Grant-in-Aid for Scientific Research (C)
Development of flood prediction method using particle filter and gaussian process regression
琢磨 太田 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2023–2027 · research · Grant-in-Aid for Scientific Research (C)
Estimation of vapor source regions in Quasi-Stationary Convective Bands by simultaneous data assimilation of physical and virtual tracers
雅浩 田上 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2023–2029 · research · Fund for the Promotion of Joint International Research (International Collaborative Research)
Impact of climatic interannual variabilities and extreme weather on hydrological cycles in the Panama Canal Basin
敏之 仲江川 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2023–2026 · research · Grant-in-Aid for Scientific Research (C)
Estimation of volcanic gas emission rate and elucidation of magma activity based on satellite and ground-based observations with using meteorological models
朗充 高木 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2023–2026 · research · Grant-in-Aid for Scientific Research (C)
解析誤差と成長モードを考慮したアンサンブル予測による線状降水帯の高精度確率予測
耕介 小野 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2023–2027 · fellowship · Grant-in-Aid for Early-Career Scientists
風台風・雨台風の決定因子と予測可能性の解明
宇大 嶋田 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2023–2027 · fellowship · Grant-in-Aid for Early-Career Scientists
Improvement of the meteorological model performance by using strongly coupled data assimilation of wind and aerosol
茜 佐谷 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2023–2026 · fellowship · Grant-in-Aid for JSPS Fellows
Study on Heavy Rainfall Mechanism by Mathematical and Data-Driven Approach Using Large Ensemble
拓矢 川畑 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2023–2029 · research · Grant-in-Aid for Challenging Research (Pioneering)
Design and development of a portable cloud chamber and understanding of mixed-phase microphysical and chemical processes by mountain observation
瑞王 梶野 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2022–2026 · research · Grant-in-Aid for Scientific Research (C)
雲微物理素過程分類による降水組成マッピングを用いた降水メカニズム解明に関する研究
明弘 橋本 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2022–2027 · fellowship · Grant-in-Aid for Early-Career Scientists
中間圏および下部熱圏の温度構造形成機構における大気微量化学種の役割
良輔 安井 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2022–2027 · research · Grant-in-Aid for Scientific Research (A)
Development and experimental validation of water vapor and wind lidar for early prediction of heavy rain
哲 酒井 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2022–2025 · fellowship · Grant-in-Aid for Research Activity Start-up
Probability forecast for flood risk and number of victims using a large ensemble
Tsutao Oizumi · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2022–2026 · research · Grant-in-Aid for Scientific Research (C)
Research on long-term wave characteristics of the Japan coasts by high-resolution reanalysis
洋雄 高野 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2022–2026 · research · Grant-in-Aid for Scientific Research (C)
温度成層下の乱流境界層における秩序構造とその空間分布の解明
吉規 水野 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2022–2025 · research · Grant-in-Aid for Scientific Research (C)
Observation and elucidation of aggregation processes inside volcanic plumes using dual polarization weather radar
Eiichi Sato · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2022–2026 · research · Grant-in-Aid for Scientific Research (C)
経験的調整パラメータのない高精度大気解析の実現
俊之 石橋 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2022–2026 · research · Grant-in-Aid for Scientific Research (C)
Understanding the transformation processes of atmospheric environments and tropical cyclone activity through the increase in upper ocean heat content
章義 和田 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2022–2023 · fellowship · Grant-in-Aid for Encouragement of Scientists
気象技術者の人物史から探る日本の近代気象事業史
Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2025 · research · Grant-in-Aid for Scientific Research (C)
Estimation of tsunami sources with various time histories and its application to real-time tsunami forecasting
Hiroaki Tsushima · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2026 · fellowship · Grant-in-Aid for Early-Career Scientists
地震の震源特性はどれだけ空間変化するのか：散乱波を用いた精密推定
仁 小木曽 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2026 · research · Grant-in-Aid for Scientific Research (C)
Innovating assimilation of non-Gaussian image-like observations
大介 堀田 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2025 · research · Grant-in-Aid for Scientific Research (C)
Elucidation of the mechanism of inland earthquake generation through visualization of strain energy
Akemi Noda · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2025 · research · Grant-in-Aid for Scientific Research (C)
Investigation on environmental conditions contributing to the generation and development of "senjo-kousuitai" with a large ensemble of high-resolution simulations
Yasutaka Hirocakwa · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2026 · research · Grant-in-Aid for Scientific Research (C)
Mechanism of heavy precipitation change due to global warming
亮 水田 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2025 · research · Grant-in-Aid for Scientific Research (C)
Multiscale Variational Data Assimilation for High-Frequency and High-Density Observations
Tadashi Fujita · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2024 · research · Grant-in-Aid for Scientific Research (B)
Quantifying the effects of polar amplification on the Greenland ice sheet mass balance
Masashi Niwano · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2025 · fellowship · Grant-in-Aid for Early-Career Scientists
A study on global methane budget based on atmospheric radiocarbon isotopes and numerical model analysis
Ryo Fujita · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2025 · research · Grant-in-Aid for Scientific Research (C)
Comparison of prediction errors caused by each propagation process from source formation to coast
Yutaka Hayashi · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2024 · research · Grant-in-Aid for Scientific Research (C)
Study on the long-term changes of aerosols in East Asia by the ground- and satellite-based remote sensing
Rei Kudo · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2024 · fellowship · Grant-in-Aid for Research Activity Start-up
Impact of large-scale atmospheric and oceanic variations on the Kuroshio current system
Yuma Kawakami · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science
2021–2026 · fellowship · Grant-in-Aid for Early-Career Scientists
Hybrid data assimilation methods with a particle filter for forecasts of extreme weather events
圭一 近藤 · Japan Meteorological Agency · funded by Japan Society for the Promotion of Science