10 citations as recorded by crossref.

1. Skill forecasting from different wind power ensemble prediction methods P. Pinson et al. https://doi.org/10.1088/1742-6596/75/1/012046
2. Skill forecasting from ensemble predictions of wind power P. Pinson et al. https://doi.org/10.1016/j.apenergy.2008.10.009
3. Simplified methods for real-time prediction of storm surge uncertainty: The city of Venice case study R. Mel et al. https://doi.org/10.1016/j.advwatres.2014.06.014
4. A Probabilistic Approach to Forecast the Uncertainty with Ensemble Spread B. Van Schaeybroeck & S. Vannitsem https://doi.org/10.1175/MWR-D-14-00312.1
5. Measuring the Ensemble Spread–Error Relationship with a Probabilistic Approach: Stochastic Ensemble Results E. Grimit & C. Mass https://doi.org/10.1175/MWR3262.1
6. High resolution climate projection of storm surge at the Venetian coast R. Mel et al. https://doi.org/10.5194/nhess-13-1135-2013
7. Heavy Precipitation at the Alpine South Side and Saharan Dust over Central Europe: A Predictability Study Using TIGGE L. Wiegand et al. https://doi.org/10.1175/WAF-D-10-05060.1
8. Equatorward breaking Rossby waves over the North Atlantic and Mediterranean region in the ECMWF operational Ensemble Prediction System L. Wiegand & P. Knippertz https://doi.org/10.1002/qj.2112
9. Analysis of the Spread–Skill Relations Using the ECMWF Ensemble Prediction System over Europe S. Scherrer et al. https://doi.org/10.1175/1520-0434(2004)019<0552:AOTSRU>2.0.CO;2
10. A Minimal Model to Diagnose the Contribution of the Stratosphere to Tropospheric Forecast Skill A. Charlton‐Perez et al. https://doi.org/10.1029/2021JD035504