Simulation and diagnosis of observation, model and background error contributions in data assimilation cycling
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DOI: 10.1002/qj.3454
Abstract: Data assimilation is usually cycled in time, through a temporal succession of analysis and forecast steps. This implies that forecast errors arise from contributions of observation, model and background errors, which are introduced during successive… read more here.
Keywords: data assimilation; simulation diagnosis; observation model; model background ... See more keywords