Mixture EMOS model for calibrating ensemble forecasts of wind speed
Author:
Affiliation:
1. Faculty of Informatics University of Debrecen Debrecen Hungary
2. Heidelberg Institute for Theoretical Studies Heidelberg Germany
3. Institute of Stochastics Karlsruhe Institute of Technology Karlsruhe Germany
Funder
Volkswagen Foundation
Publisher
Wiley
Subject
Ecological Modeling,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2380
Reference28 articles.
1. Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components
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4. Generating and Calibrating Probabilistic Quantitative Precipitation Forecasts from the High-Resolution NWP Model COSMO-DE
5. PEARP, the Météo‐France short‐range ensemble prediction system
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