Calibration of parameter perturbations for ensemble prediction using data-consistent inversion
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DOI: 10.1175/mwr-d-24-0032.1
Abstract: Parameter perturbations are an attractive way to represent model errors in an ensemble prediction system due to their ability to target precise sources of uncertainty. However, most parameters do not have a linear impact on… read more here.
Keywords: data consistent; ensemble prediction; consistent inversion; parameter perturbations ... See more keywords