23 citations as recorded by crossref.

1. Stepwise correction of ECMWF ensemble forecasts of severe rainfall in China based on segmented hierarchical clustering L. Gao et al. 10.3389/feart.2022.1079225
2. Overview towards improved understanding of the mechanisms leading to heavy precipitation in the western Mediterranean: lessons learned from HyMeX S. Khodayar et al. 10.5194/acp-21-17051-2021
3. The Met Office convective‐scale ensemble, MOGREPS‐UK S. Hagelin et al. 10.1002/qj.3135
4. Evaluation of two convection‐permitting ensemble systems in the HyMeX Special Observation Period (SOP1) framework O. Nuissier et al. 10.1002/qj.2859
5. An evaluation of tropical cyclone forecast in the Southwest Indian Ocean basin with AROME‐Indian Ocean convection‐permitting numerical weather predicting system O. Bousquet et al. 10.1002/asl.950
6. Distance-dependent depth-duration analysis in high-resolution hydro-meteorological ensemble forecasting: A case study in Malmö City, Sweden J. Olsson et al. 10.1016/j.envsoft.2017.03.025
7. The sequence of heavy precipitation and flash flooding of 12 and 13 September 2019 in eastern Spain. Part II: A hydro-meteorological predictability analysis based on convection-permitting ensemble strategies A. Amengual et al. 10.1175/JHM-D-20-0181.1
8. Optimizing convection‐permitting ensemble via selection of the coarse ensemble driving members P. Khain et al. 10.1002/met.2137
9. Hydrometeorological multi-model ensemble simulations of the 4 November 2011 flash flood event in Genoa, Italy, in the framework of the DRIHM project A. Hally et al. 10.5194/nhess-15-537-2015
10. Comparison of initial perturbation methods for ensemble prediction at convective scale L. Raynaud & F. Bouttier 10.1002/qj.2686
11. Short‐range probabilistic forecasting of convective risks for aviation based on a lagged‐average‐forecast ensemble approach R. Osinski & F. Bouttier 10.1002/met.1674
12. Probabilistic Wind Power Prediction Based on Ensemble Weather Forecasting D. Nohara et al. 10.1016/j.ifacol.2020.12.983
13. The ARPAL operational high resolution Poor Man’s Ensemble, description and validation M. Corazza et al. 10.1016/j.atmosres.2017.11.031
14. Spatial spread‐skill relationship in terms of agreement scales for precipitation forecasts in a convection‐allowing ensemble X. Chen et al. 10.1002/qj.3186
15. Hydrometeorological Ensemble Forecast of a Highly Localized Convective Event in the Mediterranean L. Furnari et al. 10.3390/w12061545
16. The impact of horizontal resolution and ensemble size for convective‐scale probabilistic forecasts L. Raynaud & F. Bouttier 10.1002/qj.3159
17. Ensemble hindcasting of wind and wave conditions with WRF and WAVEWATCH III® driven by ERA5 R. Osinski & H. Radtke 10.5194/os-16-355-2020
18. Spatial Predictability of Heavy Rainfall Events in East China and the Application of Spatial-Based Methods of Probabilistic Forecasting X. Zhuang et al. 10.3390/atmos10090490
19. Dependence of predictability of precipitation in the northwestern Mediterranean coastal region on the strength of synoptic control C. Keil et al. 10.5194/acp-20-15851-2020
20. An Investigation of Ocean Model Uncertainties Through Ensemble Forecast Experiments in the Southwest Atlantic Ocean L. Lima et al. 10.1029/2018JC013919
21. Improving initial condition perturbations in a convection‐permitting ensemble prediction system E. Keresturi et al. 10.1002/qj.3473
22. Clustering and selection of boundary conditions for limited‐area ensemble prediction F. Bouttier & L. Raynaud 10.1002/qj.3304
23. An evaluation of tropical cyclone forecast in the Southwest Indian Ocean basin with AROME‐Indian Ocean convection‐permitting numerical weather predicting system O. Bousquet et al. 10.1002/asl.950