| Project/Area Number |
20740275
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Meteorology/Physical oceanography/Hydrology
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| Research Institution | Japan, Meteorological Research Institute |
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Principal Investigator |
SEKIYAMA Tsuyoshi Japan, Meteorological Research Institute, 環境・応用気象研究部, 主任研究官 (90354498)
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| Research Collaborator |
MAKI Takashi 気象庁気象研究所, 環境・応用気象研究部, 主任研究官
TANAKA Taichu 気象庁気象研究所, 環境・応用気象研究部, 主任研究官
DEUSHI Makoto 気象庁気象研究所, 環境・応用気象研究部, 研究官
SHIMIZU Atsushi 国立環境研究所, アジア自然共生研究グループ, 主任研究員
MIYOSHI Takemasa メリーランド大学, 大気海洋科学部, 助教
ARELLANO Avelino F., Jr アリゾナ大学, 大気科学部, 助教
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2008: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 大気化学 / データ同化 / 数値シミュレーション / アンサンブル・カルマン・フィルタ / オゾン / エアロゾル / 黄砂 / 予測可能性 / 大気化学シミュレーション / 解析値 / 初期値 |
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| Research Abstract |
We developed a data assimilation system for atmospheric minor constituents using the Ensemble Kalman filter that is an advanced mathematical statistic scheme. Data assimilation is an informational technology, which merges model simulation results and observation results. The analyses of stratospheric ozone and tropospheric aerosol concentrations were calculated by this data assimilation system. We performed numerical hindcast simulations of the ozone layer and dust aerosol using those analyses as initial conditions. Consequently, the ozone/dust predictability in several hours/several days was evidently improved.
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