Seko Hiromu

セコヒロム | Seko Hiromu

Affiliation and department：
Job title： Researcher
Homepage URL (1)： https://www.mri-jma.go.jp/Dep/obs/hseko/index.html

Research field (1)： Atmospheric and hydrospheric science

Research keywords (9)： GNSS meteorology , Radar meteorology , Numerical simulation , Meteorology , メソ気象 , リモートセンシング , アンサンブル予報 , データ同化 , 雲解像モデル

Research theme for competitive and other funds (10)：

2019 - 2023 最先端の地上大気観測とデータ同化で、線状降水帯の予測精度はどこまで向上するのか?
2017 - 2020 Understanding the impact of urban heat island on the local heavy rainfall in the Tokyo area using a next-generation simulation system
2017 - 2020 Elucidation of the Mechanisms of Severe Local Storms Utilizing Integrated Water Vapor Observation Network in Tokyo Metropolitan Area
2017 - 2019 Improving LETKF assimilation of remotely-sensed dense observations through direct model-space covariance localization
2014 - 2017 Development of field deployable next generation water vapor lidar for heavy rain prediction

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Papers (102)：

Kazuo Saito, Takuya Kawabata, Hiromu Seko, Takemasa Miyoshi, Le Duc, Tsutao Oizumi, Masaru Kunii, Guixing Chen, Kosuke Ito, Junshi Ito, et al. Forecast and Numerical Simulation Studies on Meso/Micro-scale High-Impact Weathers Using High-Performance Computing in Japan. Numerical Weather Prediction: East Asian Perspectives. 2023. 461-481
Ken Sawada, Naoko Seino, Takuya Kawabata, Hiromu Seko. Impacts of an Urban Canopy Scheme and Surface Observation Data on a Heavy Rain Event through Data Assimilation. SOLA. 2023. 19B. Special_Edition. 1-8
Tadashi FUJITA, Kozo OKAMOTO, Hiromu SEKO, Michiko OTSUKA, Hiromi OWADA, Masahiro HAYASHI. Mesoscale Observing System Simulation Experiment (OSSE) to Evaluate the Potential Impact from a Geostationary Hyperspectral Infrared Sounder. Journal of the Meteorological Society of Japan. Ser. II. 2023
Satoru Yoshida, Tetsu Sakai, Tomohiro Nagai, Yasutaka Ikuta, Yoshinori Shoji, Hiromu Seko, Koichi Shiraishi. Lidar Observations and Data Assimilation of Low-Level Moist Inflows Causing Severe Local Rainfall Associated with a Mesoscale Convective System. Monthly Weather Review. 2022. 150. 7. 1781-1798
Maejima, T, T. Kawabata, H. Seko, T. Miyoshi. Observing System Simulation Experiments of a Rich Phased Array Weather Radar Network Covering Kyushu for the July 2020 Heavy Rainfall Event. SOLA. 2022. 18. 24-32

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MISC (504)：

瀬古弘, 小泉耕, 瀬之口敦. SSR モード S データの同化実験. 数値予報課報告・別冊. 2020. 66
清水慎吾, 加藤亮平, 平野洪賓, 前坂剛, 下瀬健一, 岩波越, 山路昭彦, 安部智彦, 齊藤洋一, 増田有俊, et al. 線状降水帯インデックスと高頻度積算雨量予測情報を用いた線状降水帯の自治体実証実験. 日本気象学会大会講演予稿集(CD-ROM). 2020. 118
瀬古弘, 和田章義, 村田昭彦, 宮川知己, 竹見哲也, 福井真, 川畑拓矢, 北村祐二, 清木達也, 堀田大介. 第5回非静力学モデルに関する国際ワークショップの報告. 天気. 2019. 66. 7. 501-506
吉田智, 酒井哲, 永井智広, 横田祥, 瀬古弘. Observation System Simulation Experiment of water vapor lidar and wind profiler for severe rain fall. リモートセンシングシンポジウム講演論文集. 2019. 44th. 41-42
横田祥, 新野宏, 瀬古弘, 國井勝, 山内洋. Tornadogenesis Investigated by Data Assimilation and Ensemble Forecasts. ながれ : 日本流体力学会誌 = Nagare : journal of Japan Society of Fluid Mechanics. 2019. 38. 1. 8-13

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Education (1)：

Professional career (1)：

Work history (11)：

2023/04 - 現在 Meteorological Research Institute Department of Observation and Data Assimilation Research Researcher
2020/04 - 2023/03 Meteorological Research Institute
2019/04 - 2020/03 海洋研究開発機構付加価値情報創生部門情報エンジニアリングプログラム招聘上席研究員
2019/04 - 2020/03 Meteorological Research Institute
2016/04 - 2019/03 海洋研究開発機構ビッグデータ活用予測プロジェクトチーム招聘上席研究員

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Association Membership(s) (2)：

American Meteorological Society , the Meteorological Society of Japan

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