Project/Area Number |
24340115
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Partial Multi-year Fund |
Section | 一般 |
Research Field |
Meteorology/Physical oceanography/Hydrology
|
Research Institution | Japan, Meteorological Research Institute |
Principal Investigator |
SEKIYAMA Tsuyoshi 気象庁気象研究所, 環境・応用気象研究部, 主任研究官 (90354498)
|
Co-Investigator(Kenkyū-buntansha) |
IGARASHI Yasuhito 気象庁気象研究所, 環境・応用気象研究部, 室長 (90343897)
MAKI Takashi 気象庁気象研究所, 環境・応用気象研究部, 室長 (50514973)
DEUSHI Makoto 気象庁気象研究所, 環境・応用気象研究部, 主任研究官 (00354499)
|
Co-Investigator(Renkei-kenkyūsha) |
KAJINO Mizuo 気象庁気象研究所, 環境・応用気象研究部, 主任研究官 (00447939)
TANAKA Yasumichi 気象庁, 地球環境・海洋部, 化学輸送モデル開発推進官 (50435591)
SAITO Kazuo 気象庁気象研究所, 予報研究部, 部長 (70391224)
|
Project Period (FY) |
2012-04-01 – 2016-03-31
|
Project Status |
Completed (Fiscal Year 2015)
|
Budget Amount *help |
¥18,070,000 (Direct Cost: ¥13,900,000、Indirect Cost: ¥4,170,000)
Fiscal Year 2015: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2014: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2013: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
|
Keywords | データ同化 / シミュレーション / 大気化学 / 気象学 / 原子力事故 / モデルシミュレーション / 移流拡散過程 / 放射性核種 / アンサンブル解析 / 移流拡散 |
Outline of Final Research Achievements |
We have developed a high-performance radioactive-tracer advection-diffusion-deposition model by improving the JMA operational numerical weather prediction (NWP) model in this research program. Combining the models, an ensemble Kalman filter, and the JMA operational observation dataset (i.e., data assimilation), we successfully produced a 3-km gridded meteorological analysis and its ensemble perturbation members, of which horizontal resolution is finer than the JMA operational NWP. The advection-diffusion-deposition simulations with the ensemble meteorological dataset enabled the Fukushima-nuclear-accident atmospheric pollution to be simulated at the highest precision level and the simulation error to be estimated by the ensemble analysis. We achieved the original goals of this research program almost completely.
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