| Project/Area Number |
20244078
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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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 |
MIKAMI Masao Japan, Meteorological Research Institute, 環境・応用気象研究部, 部長 (60354510)
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| Co-Investigator(Kenkyū-buntansha) |
OSADA Kazuo 名古屋大学, 環境学研究科, 准教授 (80252295)
ISHIZUKA Masahide 香川大学, 工学部, 准教授 (50324992)
SHIMIZU Atsushi 独立行政法人国立環境研究所, アジア自然共生研究グループ, 主任研究員 (90332238)
TANAKA Yasumichi 気象研究所, 環境・応用気象研究部, 主任研究官 (50435591)
SEKIYAMA Tsuyoshi 気象研究所, 環境・応用気象研究部, 主任研究員 (90354498)
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| Co-Investigator(Renkei-kenkyūsha) |
YUTAKA Yamada 独立行政法人理化学研究所, ラピッド・エンジニアリングチーム, 先任技師 (70392165)
YUKARI Hara 独立行政法人国立環境研究所, アジア自然共生研究グループ, 研究員 (30462493)
TAKASHI Maki 気象庁気象研究所, 環境・応用気象研究部, 主任研究官 (50514973)
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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 |
¥48,230,000 (Direct Cost: ¥37,100,000、Indirect Cost: ¥11,130,000)
Fiscal Year 2010: ¥10,660,000 (Direct Cost: ¥8,200,000、Indirect Cost: ¥2,460,000)
Fiscal Year 2009: ¥12,350,000 (Direct Cost: ¥9,500,000、Indirect Cost: ¥2,850,000)
Fiscal Year 2008: ¥25,220,000 (Direct Cost: ¥19,400,000、Indirect Cost: ¥5,820,000)
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| Keywords | 地球環境システム / ダスト / データ同化 / 放射強制力 / 黄砂予測 / 環境変動 / 気候変動 / 土壌現象 / 自然災害 |
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| Research Abstract |
Development of global dust model that can evaluate a dust impact on the climate was made from (1) monitoring of dust emission processes, (2) analysis on dust transport processes using Lidar data, (3) network monitoring of dust wet and dry depositions, and (4) development of new data assimilation system for the model. The results were summarized as follows ; (1) size resolved monitoring of dust emission was developed and was used for the validation of dust emission schemes, (2) long-range and high altitude transport characteristics of Asian dust was revealed by the lidar observation and it is shown that the change of the shape accompanied with the internal mixture is more important than the change of size distribution during the long-range transportation, (3) validation and improvement of dust particle size distribution and dust emission processes of MASINGAR, a global dust model, were done using wet and dry deposition data, and (4) Model error estimation was made by the dust data assimilation system using EnKF technique and satellite lidar data and the model representation of dust distribution was improved by this system. As a result, we could improve the global dust model for its representation of emission, transportation and deposition processes.
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