Kyushu University Academic Staff Educational and Research Activities Database
List of Presentations
Keiya Yumimoto Last modified date:2020.01.08

Associate Professor / Division of Earth Environment Dynamics / Research Institute for Applied Mechanics


Presentations
1. 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).
2. 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.
3. 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.
4. 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..
5. Yunmimoto 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..
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.