Journal article

Commentary: On the Efficiency of Covariance Localisation of the Ensemble Kalman Filter Using Augmented Ensembles

CH Bishop, JS Whitaker, L Lei

Frontiers in Applied Mathematics and Statistics | FRONTIERS MEDIA SA | Published : 2020

University of Melbourne Researchers

Grants

Awarded by National Oceanic and Atmospheric Administration


Funding Acknowledgements

CB acknowledges support from the Australian Research Council's Centre of Excellence in Climate Extremes (CE170100023). LL acknowledges joint sponsorship by the National Key R&D Program of China through grant 2017YFC1501603 and the National Natural Science Foundation of China through grant 41675052. JW acknowledges support through the NOAA High-Impact Weather Prediction Project (HIWPP) under award NA14OAR4830123, and the NOAA/NWS Next-Generation Global Prediction System (NGGPS) project.