Comparing Adaptive Prior and Posterior Inflation for Ensemble Filters Using an Atmospheric General Circulation Model
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DOI: 10.1175/mwr-d-18-0389.1
Abstract: Sampling errors and model errors are major drawbacks from which ensemble Kalman filters suffer. Sampling errors arise because of the use of a limited ensemble size, while model errors are deficiencies in the dynamics and… read more here.
Keywords: prior posterior; model errors; adaptive prior; posterior inflation ... See more keywords