Graphical Abstract

Tsuyuki, T., 2019: Ensemble Kalman filtering based on potential vorticity for atmospheric multi-scale data assimilation. J. Meteor. Soc. Japan, 97, https://doi.org/10.2151/jmsj.2019-067.
Early Online ReleaseGraphical Abstract with highlights

Plain Language Summary: A multi-scale data assimilation method for the ensemble Kalman filter (EnKF) is proposed and its performance is demonstrated using a shallow water model. The method is based on the conservation and invertibility of potential vorticity. It suppresses spurious error correlations between the balanced and unbalanced parts of dynamical state variables and makes it possible to appropriately address the balance issue of covariance localization.

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