| 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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| 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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