Titlebook: Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II); Seon Ki Park,Liang Xu Book 2013 Springer-Verlag Berlin H

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Nudging Methods: A Critical Overview,e pragmatic and theoretical aspects of the methodology. Its appeal rests on the intuitive belief that forecast corrections can be made on the basis of feedback control where forecast error from earlier times is incorporated into the dynamics. Further, the methodology is easy to implement. However, i

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Observation Influence Diagnostic of a Data Assimilation System,nfluence matrix provide diagnostics on the influence of individual data on the analysis, the analysis change that would occur by leaving one observation out, and the effective information content (degrees of freedom for signal) in any sub-set of the analysed data. In this paper, the corresponding co

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The Adjoint Sensitivity Guidance to Diagnosis and Tuning of Error Covariance Parameters,ed by atmospheric data assimilation systems (DASs). This chapter provides a detailed exposure of the equations that allow the extension of the adjoint-DAS applications from observation sensitivity and forecast impact assessment to diagnosis and tuning of parameters in the observation and background

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Treating Nonlinearities in Data-Space Variational Assimilation,to improve predictive skill; unfortunately, nonlinearities are present in geophysical flows and limit the time in which the linear approximation is valid. For weakly nonlinear flows, updating the background trajectory, relinearizing, and repeating the minimization is a way to lengthen the time windo