Simultaneous data assimilation of wind velocities and tracer concentrations for plume advection simulation
Project/Area Number |
17K00533
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Environmental dynamic analysis
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Research Institution | Japan, Meteorological Research Institute |
Principal Investigator |
SEKIYAMA Tsuyoshi 気象庁気象研究所, 全球大気海洋研究部, 主任研究官 (90354498)
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Project Period (FY) |
2017-04-01 – 2022-03-31
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Project Status |
Completed (Fiscal Year 2021)
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Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2020: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2019: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2018: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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Keywords | データ同化 / 数値シミュレーション / 気象学 / 大気化学 |
Outline of Final Research Achievements |
We aimed to develop a technique called "variable-localized data assimilation" for inverse estimation of the wind velocity distribution, which caused the radiocesium dispersion, from the distribution of radiocesium concentration. Although the inverse estimation of the wind velocity distribution was not successful, we found that the accuracy of concentration distribution analyses was significantly improved by simultaneously assimilating wind velocity and concentration observation data using variable localization. In addition, since it was urgently needed to improve the accuracy of advection-diffusion simulations for the data assimilation calculations in this study, we obtained a side benefit, in which the development of an advection-diffusion model was unexpectedly progressed.
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Academic Significance and Societal Importance of the Research Achievements |
大気汚染物質の濃度情報によって風速分布の推定精度を上げる技術は開発半ばとなったが、データ同化における変数局所化技術の有用性を示すことはできた。この変数局所化技術は気象庁などでの天気予報の基盤技術開発にも有用であろう。また、本研究では変数局所化データ同化によって大気汚染濃度分布の推定精度を大きく上げることに成功した。これは放射性セシウム以外の大気汚染予測サービス(黄砂や光化学スモッグなどの予報)の品質向上にも繋がる貴重な知見である。
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Report
(6 results)
Research Products
(51 results)
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[Journal Article] 放射性物質拡散予測モデルの不確実性の低減と活用2021
Author(s)
近藤裕昭, 岩崎俊樹, 佐藤陽祐, 関山剛, 滝川雅之, 新野宏, 鶴田治雄, 山澤弘実, 塩谷雅人
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Journal Title
Journal of the Atomic Energy Society of Japan
Volume: 63
Issue: 4
Pages: 318-320
DOI
NAID
ISSN
1882-2606, 2433-7285
Related Report
Open Access
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[Journal Article] Reassessment of early 131I inhalation doses by the Fukushima nuclear accident based on atmospheric 137Cs and 131I/137Cs observation data and multi-ensemble of atmospheric transport and deposition models2020
Author(s)
Takagi M., Ohara T., Goto D., Morino Y., Nakayama S.F., Uchida J., Sekiyama T.T., Ebihara M., Oura Y., Nakajima T., Tsuruta H., Moriguchi Y.
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Journal Title
Journal of Environmental Radioactivity
Volume: 218
Pages: 106233-106233
DOI
Related Report
Peer Reviewed / Open Access
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[Journal Article] Application of linear minimum variance estimation to the multi-model ensemble of atmospheric radioactive Cs-137 with observations2020
Author(s)
Goto, D., Morino, Y., Ohara, T., Sekiyama, T. T., Uchida, J., and Nakajima, T.
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Journal Title
Atmospheric Chemstry and Physics
Volume: 20
Issue: 6
Pages: 3589-3607
DOI
Related Report
Peer Reviewed / Open Access
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[Journal Article] Intercomparison of numerical atmospheric dispersion prediction models for emergency response to emissions of radionuclides with limited source information in the Fukushima Dai-ichi Nuclear Power Plant accident2019
Author(s)
Iwasaki, T., T. T. Sekiyama, T. Nakajima, A. Watanabe, Y. Suzuki, H. Kondo, Y. Morino, H. Terada, H. Nagai, M. Takigawa, H. Yamazawa, D. Quelo, A. Mathieu
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Journal Title
Atmospheric Environment
Volume: 214
Pages: 116830-116830
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Journal Article] NHM-Chem, the Japan Meteorological Agency's Regional Meteorology – Chemistry Model: Model Evaluations toward the Consistent Predictions of the Chemical, Physical, and Optical Properties of Aerosols2019
Author(s)
M. Kajino, M. Deushi, T. Sekiyama, N. Oshima, K. Yumimoto, T. Tanaka, J. Ching, A. Hashimoto, T. Yamamoto, M. Ikegami, A. Kamada, M. Miyashita, Y. Inomata, S.-I. Shima, A. Takami, A. Shimizu, S. Hatakeyama, Y. Sadanaga, H. Irie, K. Adachi, Y. Zaizen, Y. Igarashi, H. Ueda, T. Maki, and M. Mikami
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Journal Title
Journal of the Meteorological Society of Japan. Ser. II
Volume: 97
Issue: 2
Pages: 337-374
DOI
NAID
ISSN
0026-1165, 2186-9057
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Journal Article] Model Intercomparison of Atmospheric 137Cs From the Fukushima Daiichi Nuclear Power Plant Accident: Simulations Based on Identical Input Data2018
Author(s)
Sato, Y.、Takigawa, M.、Sekiyama, T.T.、Kajino, M.、Terada, H.、Nagai, H.、Kondo, H.、Uchida, J.、Goto, D.、Quelo, D.、Mathieu, A.、Querel, A.、Fang, S.、Morino, Y.、von Schoenberg, P.、Grahn, H.、Brennstrem, N.、Hirao, S.、Tsuruta, H.、Yamazawa, H.、Nakajima, T.
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Journal Title
Journal of Geophysical Research: Atmospheres
Volume: 123
Issue: 20
DOI
Related Report
Peer Reviewed / Int'l Joint Research
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[Journal Article] NHM-Chem, the Japan MeteorologicalAgency's regional meteorology – chemistry model (v1.0): model description and aerosol representations2018
Author(s)
Kajino, M.、Deushi, M.、Sekiyama, T.T.、Oshima, N.、Yumimoto, K.、Tanaka, T.Y.、Ching, J.、Hashimoto, A.、Yamamoto, T.、Ikegami, M.、Kamada, A.、Miyashita, M.、Inomata, Y.、Shima, S.、Adachi, K.、Zaizen, Y.、Igarashi, Y.、Ueda, H.、Maki, T.、Mikami, M.
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Journal Title
Geoscientific Model Development Discussions
Volume: 2018
Pages: 1-45
DOI
Related Report
Open Access
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[Journal Article] Fukushima Daiichi-derived radionuclides in the atmosphere, transport and deposition in Japan: A review2018
Author(s)
Mathieu, A., M. Kajino, I. Korsakissok, P. Raphael, D. Quelo, A. Querel, O. Saunier, T. T. Sekiyama, Y. Igarashi and D. Didier
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Journal Title
Appl. Geochem.
Volume: 91
Pages: 122-139
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Journal Article] Study of lower tropospheric ozone over central and eastern China: comparison of satellite observation with model simulation2018
Author(s)
Hayashida, S., S. Kayaba, M. Deushi, K. Yamaji, A. Ono, M. Kajino, T. T. Sekiyama, T. Maki, and X. Liu
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Journal Title
Land-Atmospheric Research Applications in South and Southeast Asia
Volume: -
Pages: 255-275
DOI
ISBN
9783319674735, 9783319674742
Related Report
Peer Reviewed / Int'l Joint Research
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[Journal Article] Lessons learned from atmospheric modeling studies after the Fukushima nuclear accident: Ensemble simulations, data assimilation, elemental process modeling, and inverse modeling2018
Author(s)
Kajino, M., T. T. Sekiyama, A. Mathieu, K. Irene, R. Perillat, D. Quelo, A. Querel, O. Saunier, K. Adachi, S. Girard, T. Maki, K. Yumimoto, D. Didier, O. Masson, and Y. Igarashi
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Journal Title
GEOCHEMICAL JOURNAL
Volume: 52
Issue: 2
Pages: 85-101
DOI
NAID
ISSN
0016-7002, 1880-5973
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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[Journal Article] Feasibility study for future space-borne coherent Doppler wind lidar. Part 1: Instrumental overview for global wind profile observation2017
Author(s)
Ishii, S., P. Baron, M. Aoki, K. Mizutani, M. Yasui, S. Ochiai, A. Sato, Y. Satoh, T. Kubota, D. Sakaizawa, R. Oki, K. Okamoto, T. Ishibashi, T. Y. Tanaka, T. T. Sekiyama, T. Maki, K. Yamashita, T. Nishizawa, M. Satoh, and T. Iwasaki
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Journal Title
J. Meteor. Soc. Japan
Volume: 95
Pages: 301-317
Related Report
Peer Reviewed / Open Access
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[Journal Article] Impact of tropical convection and ENSO variability in vertical distribution of CO and O3 over an urban site of India2017
Author(s)
Sahu, L. K., V. Seel, M. Kajino, M. Deushi, S. S. Gunthe, P. R. Sinha, R. Yadav, D. Pal, P. Nedelec, V. Thouret, Herman G. Smit
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Journal Title
Climate Dynamics
Volume: 49
Issue: 1-2
Pages: 449-469
DOI
Related Report
Peer Reviewed / Open Access
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