42 citations as recorded by crossref.

1. Evaluating the trade‐offs between ensemble size and ensemble resolution in an ensemble‐variational data assimilation system L. Lei & J. Whitaker 10.1002/2016MS000864
2. On the incidence of meteorological and hydrological processors: Effect of resolution, sharpness and reliability of hydrological ensemble forecasts M. Abaza et al. 10.1016/j.jhydrol.2017.10.038
3. Building the capacity for forecasting marine biogeochemistry and ecosystems: recent advances and future developments M. Gehlen et al. 10.1080/1755876X.2015.1022350
4. An Objective Approach to Generating Multi-Physics Ensemble Precipitation Forecasts Based on the WRF Model C. Shen et al. 10.1007/s13351-020-9198-3
5. Understanding sources of Northern Hemisphere uncertainty and forecast error in a medium‐range coupled ensemble sea‐ice prediction system K. Peterson et al. 10.1002/qj.4340
6. Calibrated Surface Temperature Forecasts from the Canadian Ensemble Prediction System Using Bayesian Model Averaging L. Wilson et al. 10.1175/MWR3347.1
7. Atmospheric Data Assimilation with an Ensemble Kalman Filter: Results with Real Observations P. Houtekamer et al. 10.1175/MWR-2864.1
8. Multischeme ensemble forecasting of surface temperature using neural network over Turkey S. Cakir et al. 10.1007/s00704-012-0703-1
9. Linking acoustics and finite‐time Lyapunov exponents reveals areas and mechanisms of krill aggregation within the Gulf of St. Lawrence, eastern Canada F. Maps et al. 10.1002/lno.10145
10. Ensemble forecasting of snowpack conditions and avalanche hazard M. Vernay et al. 10.1016/j.coldregions.2015.04.010
11. Estimation of high-dimensional prior and posterior covariance matrices in Kalman filter variants R. Furrer & T. Bengtsson 10.1016/j.jmva.2006.08.003
12. Modeling the Distribution of Precipitation Forecasts from the Canadian Ensemble Prediction System Using Kernel Density Estimation S. Peel & L. Wilson 10.1175/2007WAF2007023.1
13. Can multi‐model combination really enhance the prediction skill of probabilistic ensemble forecasts? A. Weigel et al. 10.1002/qj.210
14. Seasonal Ensemble Forecasts: Are Recalibrated Single Models Better than Multimodels? A. Weigel et al. 10.1175/2008MWR2773.1
15. PEARP, the Météo‐France short‐range ensemble prediction system L. Descamps et al. 10.1002/qj.2469
16. Modelling the influence of daytime distribution on the transport of two sympatric krill species (Thysanoessa raschii and Meganyctiphanes norvegica) in the Gulf of St Lawrence, eastern Canada F. Maps et al. 10.1093/icesjms/fst021
17. Ensemble prediction of Mediterranean high-impact events using potential vorticity perturbations. Part II: Adjoint-derived sensitivity zones M. Vich et al. 10.1016/j.atmosres.2011.07.016
18. Impacts of two types of errors on the predictability of terrestrial carbon cycle G. Sun & M. Mu 10.1002/ecs2.3315
19. Modeling the interactions between the seasonal and diel migration behaviors of Calanus finmarchicus and the circulation in the Gulf of St. Lawrence (Canada) F. Maps et al. 10.1016/j.jmarsys.2011.04.004
20. The Gulf of St. Lawrence Biogeochemical Model: A Modelling Tool for Fisheries and Ocean Management D. Lavoie et al. 10.3389/fmars.2021.732269
21. Influence of atmospheric uncertainty, convective indicators, and cost-index on the leveled aircraft trajectory optimization problem M. Soler et al. 10.1016/j.trc.2020.102784
22. Large-Scale Atmospheric and Oceanic Control on Krill Transport into the St. Lawrence Estuary Evidenced with Three-Dimensional Numerical Modelling D. Lavoie et al. 10.1080/07055900.2015.1082965
23. Using Bayesian Model Averaging to Calibrate Forecast Ensembles A. Raftery et al. 10.1175/MWR2906.1
24. Verification of an Ensemble Prediction System against Observations G. Candille et al. 10.1175/MWR3414.1
25. A Diagnostic Verification of the Precipitation Forecasts Produced by the Canadian Ensemble Prediction System S. Peel & L. Wilson 10.1175/2008WAF2006099.1
26. A Comparison of the ECMWF, MSC, and NCEP Global Ensemble Prediction Systems R. Buizza et al. 10.1175/MWR2905.1
27. Improvement of the analog forecasting method by using local thermodynamic data. Application to autumn precipitation in Catalonia J. Gibergans-Báguena & M. Llasat 10.1016/j.atmosres.2007.04.002
28. Uncertainty quantification and predictability of wind speed over the Iberian Peninsula S. Fernández‐González et al. 10.1002/2017JD026533
29. Evaluation of probabilistic prediction systems for a scalar variable G. Candille & O. Talagrand 10.1256/qj.04.71
30. Toward Random Sampling of Model Error in the Canadian Ensemble Prediction System M. Charron et al. 10.1175/2009MWR3187.1
31. Characteristics of Ensemble Transform Kalman Filter adaptive sampling guidance for tropical cyclones S. Majumdar et al. 10.1002/qj.746
32. Characteristics of Target Areas Selected by the Ensemble Transform Kalman Filter for Medium-Range Forecasts of High-Impact Winter Weather S. Majumdar et al. 10.1175/2010MWR3106.1
33. Ensemble Kalman filtering P. Houtekamer & H. Mitchell 10.1256/qj.05.135
34. Le concept d’approche écosystémique appliqué à l’estuaire maritime du Saint-Laurent (Canada) C. Savenkoff et al. 10.1139/er-2015-0083
35. Assessment of the Sea Surface Temperature Predictability Based on Multimodel Hindcasts S. Zhang et al. 10.1175/WAF-D-19-0040.1
36. Postprocessing of Ensemble Weather Forecasts Using a Stochastic Weather Generator J. Chen et al. 10.1175/MWR-D-13-00180.1
37. Singular vector decomposition of the internal variability of the Canadian Regional Climate Model E. Diaconescu et al. 10.1007/s00382-011-1179-x
38. Evaluation of WRF-based convection-permitting multi-physics ensemble forecasts over China for an extreme rainfall event on 21 July 2012 in Beijing K. Zhu & M. Xue 10.1007/s00376-016-6202-z
39. Statistical post-processing of ensemble forecasts of the height of new snow J. Nousu et al. 10.5194/npg-26-339-2019
40. On Some Aspects of the Definition of Initial Conditions for Ensemble Prediction L. Descamps & O. Talagrand 10.1175/MWR3452.1
41. Recherche en Prévision Numérique Contributions to Numerical Weather Prediction H. Ritchie et al. 10.1080/07055900.2022.2038071
42. Representation of Model Error in Convective‐Scale Data Assimilation: Additive Noise Based on Model Truncation Error Y. Zeng et al. 10.1029/2018MS001546