Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)

A Review on the Theory and Methodologies of Estimation for Dynamical Systems.- Nudging Methods: A Critical Overview.- Markov Chain Monte Carlo Methods: Theory and Applications.- Information Content in Data Assimilation.- A Question of Adequacy of Observations in Variational Data Assimilation.- Quantifying Observation Impact for a Limited Area Atmospheric Forecast Model.- Skewness of the Prior through Position Errors and Its Impact on Data Assimilation.- Background Error Correlation Modeling with Diffusion Operator.- The Adjoint Sensitivity Guidance to Diagnosis and Tuning of Error Covariance Parameters.- Treating Nonlinearities in Data-Space Variational Assimilation.- Linearized Physics for Data Assimilation at ECMWF.- Recent Applications in Representer-Based Variational Data Assimilation.