| Abstract |
Data assimilation is a technique to producemore accurate estimates of system statesby statistically combining their observations andnumerical simulations.The data assimilation is used for creatingthe initial conditions in numerical weather predictionand the historical reanalyses of the Earth"s atmosphere.There are some methods for the data assimilation,such as optimum interpolation method,3D-Var, 4D-Var, and ensemble Kalman filter.I introduce the basic concepts of the data assimilation,which are common in these methods, and show some examplesof data assimilation with a simple numerical model. |
