九州大学 研究者情報
発表一覧
弓本 桂也(ゆみもとけいや) データ更新日:2021.08.03

教授 /  応用力学研究所 地球環境力学部門


学会発表等
1. Keiya Yumimoto, Aerosol assimilation/forecasting in Japan, NASA ACCP Air Quality Virtual Workshop, 2021.03.
2. 弓本桂也, 鵜野伊津志, 王哲, 機械学習を用いた大気汚染数値予測の精度向上の試み, 大気環境学会, 2019.09.
3. 弓本桂也, Air Quality Forecasting in Japan, Weather and Air Quality Forecasting Applications Workshop, 2019.07, NASAの次期地球観測衛星に関するWorkshopにおいて、日本を代表して日本の大気汚染予測の現状に関する講演を行った。(旅費、先方支弁).
4. 弓本桂也,眞木貴史,田中泰宙,関山 剛,竹村俊彦, 多波長光学イメージャを用いた大気エアロゾルの監視,同化予測及び再解析プロダクトの作成, 日本地球惑星科学連合2019年大会, 2019.05.
5. Keiya Yumimoto, Development of an aerosol reanalysis product - JRAero, The First Workshop for the Development of Korean Air Quality Forecasting System, 2018.09, Development of an aerosol reanalysis product – JRAero.
6. Keiya Yumimoto, Taichu Y. Tanaka, Naga Oshima, Takashi Maki , Development of an aerosol reanalysis product - JRAero, 14th iCACGP Symposium/15th IGAC Science Conference, 2018.09, As well as meteorological reanalysis products (e.g., ERA, MERRA and JRA), reanalysis products for aerosol components are under development and ready for research use. A global aerosol reanalysis product named the Japanese Reanalysis for Aerosol (JRAero Version 1) was constructed by the Meteorological Research Institute (MRI) of Japan Meteorological Agency (JMA) and Research Institute for Applied Mechanics (RIAM) of Kyushu University (Yumimoto et al., Geosci. Model Dev., 2017). The reanalysis employs a global aerosol transport model developed by MRI (MASINGAR mk-2), a 2-dimensional variational assimilation method, and maps of aerosol optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra and Aqua satellites with horizontal resolution of TL159 (approximately 1.1°× 1.1°). Reanalysis products, including global distributions of AOD (for total and each aerosol component), surface PM2.5 concentration, and deposition amounts etc. are now available through the JRAero web site (https://www.riam.kyushu-u.ac.jp/taikai/JRAero/), and will be useful for various applications (e.g., climatological analyses of aerosol and its climate effect, epidemiologic studies of PM2.5, estimates of aerosol exposure and its health impact, and determination of the initial and boundary conditions of numerical models). In this presentation, we will overview setup of the reanalysis and indication of its quality as well as some research results with the reanalysis product..
7. Keiya Yumimoto, Taichu Y. Tanaka, Naga Oshima, Takashi Maki, Development of the aerosol reanalysis product (JRAero) and its use in aerosol researches in East Asia, Asia Oceania Geosciences Society, 15 th Annual Meeting, 2018.06, As well as meteorological reanalysis products (e.g., ERA, MERRA and JRA), reanalysis product for aerosol components are under development and ready for research use. A global aerosol reanalysis product named the Japanese Reanalysis for Aerosol (JRAero Version 1) was constructed by the Meteorological Research Institute (MRI) of Japan Meteorological Agency (JMA) and Research Institute for Applied Mechanics (RIAM) of Kyushu University. The reanalysis employs a global aerosol transport model developed by MRI (MASINGAR mk-2) and a 2-dimensional variational method, assimilates maps of aerosol optical depth (AOD) from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra and Aqua satellites every 6 hour, and has horizontal resolution of TL159 (approximately 1.1°× 1.1°). Reanalysis products, including AOD (total and each aerosol component (dust, sulfate, sea salt, BC, OC)), surface PM2.5 and PM10 concentrations, and wet and dry depositions for each aerosol component etc. are now available through the JRAero web site (https://www.riam.kyushu-u.ac.jp/taikai/JRAero/), and would be useful for various applications (e.g., climatological analyses of aerosol and its climate effect, epidemiologic studies of PM2.5, estimates of aerosol exposure and its health impact, and determination of the initial and bounbary conditions of numerical models). In this presentation, we will overview setup of the reanalysis and indication of its quality as well as some research results with the reanalysis product..
8. 弓本桂也, 田中泰宙, 大島長, 眞木貴史, 大気化学再解析とその気候研究への利用:(2)エアロゾル, 気象学会2016年度秋季大会, 2017.10.
9. 弓本桂也, エアロゾル版再解析データの開発, 第58回大気環境学会年会, 2017.09.
10. 弓本桂也, 衛星「ひまわり8号」とデータ同化を用いたアジアダスト研究の新展開, JSPS研究拠点形成事業「アジアダストと環境レジームシフトに関する研究拠点の構築」公開セミナー「モンゴル現地調査報告と展望」, 2017.02.
11. Yumimoto K., Aerosol Data Assimilation with Lidar Observations (invited), 28th International Laser Radar Conference, 2017.06, Data assimilation is a technique to fuse numerical model and observations (1) to obtain the more accurate state for forecasts (initial value problem), (2) to optimize parameters (e.g., emissions) (inversion), (3) to generate a uniform, continuous, and best-estimated data product (reanalysis), and (4) to investigate the potential impact of observing system. In this presentation, we will introduce studies about aerosol data assimilation with both ground-based and space-borne lidar observations..
12. Yumimoto K., Operational and Research Activities for Asian Dust at Japan Meteorological Agency (keynote), Third Seminar of JSPS Core-to-Core Program - Collaborative Research between Mongolia, China and Japan on Outbreaks of Asian Dust and Environmental Regime Shift, 2016.08.
13. Yumimoto K., Development of a Forecasting and Data Assimilation System for Asian Dust in the Japan Meteorological Agency (JMA) (invited), AGU Fall Meeting, 2015.12.
14. Yumimoto, K. and Uno I., Inverse modeling of long-term CO emission in China with Green's function method and forward sensitivity (invited), nternational Workshop on Inventory, Modeling and Climate Impacts of Greenhouse Gas emissions (GHG's) and Aerosols in Asian Region, 2013.06.
15. Yumimoto, K. and Uno I., Recent Inverse Estimate of Chinese CO emission with Forward Sensitivity and Green's Function Method (invited), 3rd International Workshop on Emission Inventory in Asia, 2012.02.
16. Yumimoto, K., Uno, I., Eguchi, K., Takemura, T., Liu, Z., Shimizu, A., and Sugimoto, N, Elevated Large-Scale Dust Veil Originated in the Taklimakan Desert: Intercontinental transport and 3-dimensional structure captured by CALIPSO and regional and global models (invited), nternational Symposium on Atmospheric Light Scattering and Remote Sensing, 2009.07.
17. Yumimoto, K., Uno, I., Assimilation of CALIPSO and ground-based lidar data into the regional models (invited), 3rd International Workshop on Mineral Dust, 2008.09.

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