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The data assimilation is demonstrated for the period of March April 1997.
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The adjoint-based data assimilation is outlined in this section.
Data assimilation is becoming an increasingly important tool for understanding the near Earth hazardous radiation environments.
An important issue in data assimilation is the estimation of error covariance matrices.
Data assimilation is a versatile methodology for estimating unknown state variables and parameters.
In order to improve on the numerical outcome data assimilation is common.
Weak constraint four-dimensional variational data assimilation is an important method for incorporating data (typically observations) into a model.
To date, an outstanding issue in hydrologic data assimilation is a proper way of dealing with forecast bias.
Data assimilation is an application of weighted least squares, as we now describe.
The right column, labeled "free run," shows the corresponding ensemble means after 360 days when no data assimilation is performed.
As a complement, glider data assimilation was used to directly correct the model: the uncertain tidal mixing parameter is estimated through assimilation of data provided by the 10 coordinated gliders using an ensemble simulation method.
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