16 citations as recorded by crossref.

1. The benefits of a hybrid‐3DEnVar data assimilation scheme for the convection‐permitting NWP model AROME–Austria K. Jyoti et al. https://doi.org/10.1002/qj.70207
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3. Impact of Stochastically Perturbed Terminal Velocities on Convective-Scale Ensemble Forecasts of Precipitation S. Wang et al. https://doi.org/10.1155/2020/4234361
4. The Impact of Applying Individually Perturbed Parametrization Tendency Scheme on the Simulated El Niño-Southern Oscillation in the Community Earth System Model T. Wu et al. https://doi.org/10.3389/feart.2021.627170
5. Potential of stochastic methods for improving convection-permitting ensemble forecasts of extreme events over the Western Mediterranean A. Hermoso et al. https://doi.org/10.1016/j.atmosres.2021.105571
6. Quantifying the analysis uncertainty for nowcasting application Y. Zhu et al. https://doi.org/10.5194/gmd-18-1545-2025
7. A Single-Column Comparison of Model-Error Representations for Ensemble Prediction F. Bouttier et al. https://doi.org/10.1007/s10546-021-00682-6
8. How different are deterministic physics suites when coupled to fixed model dynamics and why? E. Groot et al. https://doi.org/10.1016/j.jemets.2026.100041
9. A Unified Framework for Robust and Efficient Hotspot Detection in Smart Cities Y. Xie & S. Shekhar https://doi.org/10.1145/3379562
10. C‐LAEF: Convection‐permitting Limited‐Area Ensemble Forecasting system C. Wastl et al. https://doi.org/10.1002/qj.3986
11. Impacts of New Implementing Strategies for Surface and Model Physics Perturbations in TREPS on Forecasts of Landfalling Tropical Cyclones X. Zhang https://doi.org/10.1007/s00376-021-1222-8
12. Model Uncertainty Representation in a Convection-Permitting Ensemble—SPP and SPPT in HarmonEPS I. Frogner et al. https://doi.org/10.1175/MWR-D-21-0099.1
13. Stochastic perturbation of tendencies and parameters of parameterizations in the global ensemble prediction system based on the SL-AV model K. Alipova et al. https://doi.org/10.1515/rnam-2022-0027
14. Revision of the Stochastically Perturbed Parametrisations model uncertainty scheme in the Integrated Forecasting System S. Lang et al. https://doi.org/10.1002/qj.3978
15. A Hybrid Stochastically Perturbed Parametrization Scheme in a Convection-Permitting Ensemble C. Wastl et al. https://doi.org/10.1175/MWR-D-18-0415.1
16. Mitigating Atmospheric Effects in InSAR Stacking Based on Ensemble Forecasting with a Numerical Weather Prediction Model F. Dou et al. https://doi.org/10.3390/rs13224670