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- W3128981439 abstract "Data assimilation (DA) can provide the more accurate initial state for numerical forecasting models. But traditional DA algorithms has the problem of long calculation time. This paper proposes fast data assimilation (FDA) based on machine learning. For training model, FDA uses 4DVAR, iForest, MLP, and also includes a modified model that does not require observations. This paper applies FDA in the Lorenz63 dynamical system. The experimental results show that the single analysis time of FDA is almost 524 times faster than 4DVAR. FDA greatly reduces the time of the DA process." @default.
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- W3128981439 date "2021-04-01" @default.
- W3128981439 modified "2023-10-17" @default.
- W3128981439 title "Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state" @default.
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- W3128981439 doi "https://doi.org/10.1016/j.jocs.2021.101323" @default.
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