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María E. Dillon, Yanina García Skabar, Juan Ruiz, Eugenia Kalnay, Estela A. Collini, Pablo Echevarría, Marcos Saucedo, Takemasa Miyoshi, and Masaru Kunii

different ways for estimating the atmospheric state given from the information provided by the observations and the short-range forecast. Some of the strengths of ensemble-based data assimilation systems are that the evolution of the background error covariance from one assimilation window to the next can be estimated, and that these systems are also easier to implement than four-dimensional variational data assimilation (4DVAR) because the tangent linear and the adjoint of the numerical model are not

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