Estimating spatial and temporal distribution of soil moisture applying data assimilation technique with satellite based observations
| Project/Area Number |
22760368
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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 |
Hydraulic engineering
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| Research Institution | Kyoto University |
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Principal Investigator |
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2011: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2010: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 地表面植生水文モデル / 粒子フィルタ / データ同化 / 土壌水分 / 表面温度 |
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| Research Abstract |
Data assimilation techniques can be used as one of the effective methods of not only updating state variables but also model parameter determination. In this study, particle filtering system was selected as data assimilation techniques and introduced into Land Surface Scheme. Using site observation data, land surface model with particle filtering system was examined. Land surface variables and soil parameters were successfully estimated using particle filtering system. It is assumed that applying particle filtering system to land surface model result in good performance on estimating land surface heat fluxes.
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Report
(3 results)
Research Products
(11 results)
