12 citations as recorded by crossref.

1. Application of breeding ensemble to tropical cyclone track forecasts using the Regional Atmospheric Modeling System (RAMS) model C. Thanh et al. 10.1016/j.apm.2016.04.010
2. A Nonlinear Theory and Technology for Reducing the Uncertainty of High-Impact Ocean–Atmosphere Event Prediction M. Mu & W. Duan 10.1007/s00376-025-4467-9
3. Initial Perturbations Based on Ensemble Transform Kalman Filter with Rescaling Method for Ensemble Forecasting J. Wang et al. 10.1175/WAF-D-20-0176.1
4. Towards a Better Design of Convection-Allowing Ensembles for Precipitation Forecasts over Ensenada, Baja California, Mexico Y. Mayor et al. 10.3390/atmos11090973
5. Ensemble methods for wind and solar power forecasting—A state-of-the-art review Y. Ren et al. 10.1016/j.rser.2015.04.081
6. Flow-dependent versus flow-independent initial perturbations for ensemble prediction L. Magnusson et al. 10.1111/j.1600-0870.2008.00385.x
7. Characteristics of Initial Perturbations in the Ensemble Prediction System of the Korea Meteorological Administration J. Kay & H. Kim 10.1175/WAF-D-13-00097.1
8. HarmonEPS—The HARMONIE Ensemble Prediction System I. Frogner et al. 10.1175/WAF-D-19-0030.1
9. Comparison of nonlinear local Lyapunov vectors with bred vectors, random perturbations and ensemble transform Kalman filter strategies in a barotropic model J. Feng et al. 10.1007/s00376-016-6003-4
10. Modelling sea surface wind measurements on Australia’s North-West Shelf M. Loake et al. 10.1016/j.oceaneng.2021.110308
11. An Analysis on Perturbation Features of Convection-Allowing Ensemble Prediction Based on the Local Breeding Growth Mode S. Ma et al. 10.1175/WAF-D-18-0111.1
12. Analogs on the Lorenz Attractor and Ensemble Spread A. Atencia & I. Zawadzki 10.1175/MWR-D-16-0123.1