38 citations as recorded by crossref.

1. Sensitivity of Modeled Microphysics to Stochastically Perturbed Parameters T. Vukicevic et al. 10.1029/2021MS002933
2. A review of operational methods of variational and ensemble‐variational data assimilation R. Bannister 10.1002/qj.2982
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4. Model Uncertainty Representation for a Convection-Allowing Ensemble Prediction System Based on CNOP-P L. Wang et al. 10.1007/s00376-020-9262-z
5. An evaluation of the convection‐permitting ensemble COSMO‐E for three contrasting precipitation events in Switzerland C. Klasa et al. 10.1002/qj.3245
6. Hydrometeorological Ensemble Forecast of a Highly Localized Convective Event in the Mediterranean L. Furnari et al. 10.3390/w12061545
7. Multiscale Characteristics of Different-Source Perturbations and Their Interactions for Convection-Permitting Ensemble Forecasting during SCMREX X. Zhang 10.1175/MWR-D-18-0218.1
8. RMetS Special Interest Group Meeting: high resolution data assimilation P. Browne et al. 10.1002/asl2.512
9. Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales M. Van Ginderachter et al. 10.5194/npg-27-187-2020
10. Process‐oriented stochastic perturbations applied to the parametrization of turbulence and shallow convection for ensemble prediction A. Fleury et al. 10.1002/qj.4242
11. A Comparison Study of Ensemble Approach Using WRF/CMAQ Model - The High PM10Episode in Busan T. Kim et al. 10.5572/KOSAE.2016.32.5.513
12. A comparison of the equivalent weights particle filter and the local ensemble transform Kalman filter in application to the barotropic vorticity equation P. Browne 10.3402/tellusa.v68.30466
13. Effect of Considering Sub-Grid Scale Uncertainties on the Forecasts of a High-Resolution Limited Area Ensemble Prediction System S. Kim & H. Kim 10.1007/s00024-017-1513-2
14. Optimize Short-Term Rainfall Forecast with Combination of Ensemble Precipitation Nowcasts by Lagrangian Extrapolation . Na & . Yoo 10.3390/w11091752
15. The Met Office convective‐scale ensemble, MOGREPS‐UK S. Hagelin et al. 10.1002/qj.3135
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17. Representing Model Uncertainty by Multi-Stochastic Physics Approaches in the GRAPES Ensemble Z. Xu et al. 10.1007/s00376-020-9171-1
18. A new method for the characterization and verification of local spatial predictability for convective‐scale ensembles S. Dey et al. 10.1002/qj.2792
19. A Nonlinear Representation of Model Uncertainty in a Convective-Scale Ensemble Prediction System Z. Xu et al. 10.1007/s00376-022-1341-x
20. Cloud Banding and Winds in Intense European Cyclones: Results from the DIAMET Project G. Vaughan et al. 10.1175/BAMS-D-13-00238.1
21. Development and Evaluation of the High Resolution Limited Area Ensemble Prediction System in the Korea Meteorological Administration S. Kim et al. 10.14191/Atmos.2015.25.1.067
22. Towards process‐level representation of model uncertainties: stochastically perturbed parametrizations in the ECMWF ensemble P. Ollinaho et al. 10.1002/qj.2931
23. Rainfall Ensemble Member-Generation Method Accounting for Regional Characteristics M. Kang et al. 10.9798/KOSHAM.2019.19.7.63
24. Impacts of New Implementing Strategies for Surface and Model Physics Perturbations in TREPS on Forecasts of Landfalling Tropical Cyclones X. Zhang 10.1007/s00376-021-1222-8
25. Mediterranean tropical-like cyclone forecasts and analysis using the ECMWF ensemble forecasting system with physical parameterization perturbations M. Saraceni et al. 10.5194/acp-23-13883-2023
26. A Single-Column Comparison of Model-Error Representations for Ensemble Prediction F. Bouttier et al. 10.1007/s10546-021-00682-6
27. Stochastic representations of model uncertainties at ECMWF: state of the art and future vision M. Leutbecher et al. 10.1002/qj.3094
28. Uncertainties related to the representation of momentum transport in shallow convection L. Schlemmer et al. 10.1002/2017MS000915
29. How is the Balance of a Forecast Ensemble Affected by Adaptive and Nonadaptive Localization Schemes? R. Bannister 10.1175/MWR-D-14-00379.1
30. Revision of the Stochastically Perturbed Parametrisations model uncertainty scheme in the Integrated Forecasting System S. Lang et al. 10.1002/qj.3978
31. The sensitivity of probabilistic convective‐scale forecasts of an extratropical cyclone to atmosphere–ocean–wave coupling E. Gentile et al. 10.1002/qj.4225
32. New approaches to postprocessing of multi‐model ensemble forecasts C. Barnes et al. 10.1002/qj.3632
33. HarmonEPS—The HARMONIE Ensemble Prediction System I. Frogner et al. 10.1175/WAF-D-19-0030.1
34. Convection‐permitting models: a step‐change in rainfall forecasting P. Clark et al. 10.1002/met.1538
35. A Spatial View of Ensemble Spread in Convection Permitting Ensembles S. Dey et al. 10.1175/MWR-D-14-00172.1
36. Application of a convection‐permitting ensemble prediction system to quantitative precipitation forecasts over southern China: Preliminary results during SCMREX X. Zhang 10.1002/qj.3411
37. Balance conditions in variational data assimilation for a high‐resolution forecast model R. Bannister 10.1002/qj.4106
38. Assessment of the Forecast Skill of Multiphysics and Multistochastic Methods within the GRAPES Regional Ensemble Prediction System in the East Asian Monsoon Region Z. Xu et al. 10.1175/WAF-D-19-0021.1