Lim, J., and H.-M. Park, 2019: H-infinity filtering for bias correction in post-processing of numerical weather prediction. J. Meteor. Soc. Japan, 97,
Early Online Release Graphical Abstract with highlights
Plain Language Summary: In this paper, we propose an H-infinity filtering approach for the prediction of bias in post-processing of past predictions and past measurements regarding weather forecast. The proposed H-infinity filtering adopts minimax strategy. The proposed H-infinity filtering approach minimizes maximum possible errors whereas a recently proposed approach that adopts the Kalman filtering (KF) minimizes the mean square errors.
- The proposed approach outperforms the method based on the KF with less complexity and no prior noise information.
- This approach can be applied for prediction of any meteorological parameters as long as NWP is employed.