Sequential aggregation of probabilistic forecasts—Application to wind speed ensemble forecasts
Author:
Affiliation:
1. Météo‐France, Direction des Opérations pour la Production Toulouse cedex 07 France
2. CNRM/GAME, Météo‐France/CNRS URA 1357 Toulouse France
3. Université Paris‐Saclay, AgroParisTech, INRAE, UMR MIA‐Paris Paris France
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssc.12455
Reference56 articles.
1. Adjakossa E. Goude Y.&Wintenberger O.(2020)Kalman recursions aggregated online.arXiv preprint arXiv:2002.12173.
2. Probability Aggregation Methods in Geoscience
3. A Method for Producing and Evaluating Probabilistic Forecasts from Ensemble Model Integrations
4. Log‐normal distribution based Ensemble Model Output Statistics models for probabilistic wind‐speed forecasting
5. Mixture EMOS model for calibrating ensemble forecasts of wind speed
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