… these biases. The … bias estimate should be used to correct real radiance biases, rather to
show that we can efficiently estimate bias correction parameters with an ensemble Kalman filter. …

… the bias-corrected output state, we add the bias correction to … we observed a fast return of
the model state to its biased … outputs for bias without feedback of this bias correction in between …

… Bias correction approaches can be separated into offline methods – in which the bias is
estimated beforehand from the model and observed climatologies – and online methods – …

… biases on heavy dust episodes, before use, the observations are checked according to 3 h
surface synoptic observations … , or one dust storm phenomenon observed at stations located …

… ticular ensemble Kalman filter, the Local Ensemble Kalman Fil… bias correction is attempted
using other related ensemble … observations to account for model bias in the state estimation. …

… of future ozone-concentration bias using past forecasts and observations. The optimum …
of the Kalman filter (KF) predictor post-processing bias-removal method in predicting biases of …

… [1] An ensemble Kalman filter for state estimation and a bias estimation … of bias correction,
the effect of the assimilation frequency, the assimilation depth, and the number of observations …

… the ensemble Kalman filter (EnKF) in preventing filter divergence … accuracy of the specification
of observation error statistics, which … model bias. For an imperfect model with large model …

… ensemble extension of the conditional bias-penalized Kalman filter, referred to herein as the
conditional bias… and multiplicative biases for observed precipitation and PE by assimilating …

… The recent past forecasts and observations are used by the KF to estimate the future bias. …
separate Kalman filter for each ensemble member, for each hour. Individual Kalman-corrected …