2015 Fiscal Year Final Research Report
Principles for knowledge discovery through new batch type algorithm of combination of simulation and observation
| Project/Area Number |
25870803
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Statistical science
Intelligent informatics
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| Research Institution | Meiji University |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Keywords | データ同化 / ベイズ推定 |
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| Outline of Final Research Achievements |
Data assimilation is the concept and algorithm that combine numerical simulation model with observation data. In this research, new batch type algorithm of data assimilation is constructed. The effectiveness of the algorithm is also verified. As a result, possibility of the effectiveness of the repeated calculation algorithm has been found. Numerical experiments to test the effectiveness of the algorithm through several test model is also conducted. From the results, effectiveness of the approach is confirmed. It is also confirmed that we can construct appropriate formulation for data assimilation by changing probability distributions which represent the errors of the numerical simulations.
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| Free Research Field |
統計科学
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