14 citations as recorded by crossref.

1. A Novel Bias Correction Method for Extreme Events L. Trentini et al. 10.3390/cli11010003
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4. A 24-variable low-order coupled ocean–atmosphere model: OA-QG-WS v2 S. Vannitsem & L. De Cruz 10.5194/gmd-7-649-2014
5. Assessment of calibration assumptions under strong climate changes B. Van Schaeybroeck & S. Vannitsem 10.1002/2016GL067721
6. Fretting Fatigue Life Prediction for Aluminum Alloy Based on Particle-Swarm-Optimized Back Propagation Neural Network X. Li et al. 10.3390/met14040381
7. Ensemble post‐processing using member‐by‐member approaches: theoretical aspects B. Van Schaeybroeck & S. Vannitsem 10.1002/qj.2397
8. Spatial mode-based calibration (SMoC) of forecast precipitation fields from numerical weather prediction models P. Zhao et al. 10.1016/j.jhydrol.2022.128432
9. Evaluating the impact of post-processing medium-range ensemble streamflow forecasts from the European Flood Awareness System G. Matthews et al. 10.5194/hess-26-2939-2022
10. Bias correction and post-processing under climate change S. Vannitsem 10.5194/npg-18-911-2011
11. Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information N. Pérez-Zanón et al. 10.5194/gmd-15-6115-2022
12. Exploratory analysis of statistical post‐processing methods for hydrological ensemble forecasts M. Boucher et al. 10.1002/hyp.10234
13. A review on statistical postprocessing methods for hydrometeorological ensemble forecasting W. Li et al. 10.1002/wat2.1246
14. A Probabilistic Approach to Forecast the Uncertainty with Ensemble Spread B. Van Schaeybroeck & S. Vannitsem 10.1175/MWR-D-14-00312.1