Mixture EMOS model for calibrating ensemble forecasts of wind speed

DOI10.1002/env.2380zbMath1525.62069arXiv1507.06517OpenAlexW3105149088WikidataQ37343981 ScholiaQ37343981MaRDI QIDQ6139185

Sándor Baran, Sebastian Lerch

Publication date: 18 December 2023

Published in: Environmetrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1507.06517

zbMATH Keywords

ensemble calibrationlog-normal distributiontruncated normal distributioncontinuous ranked probability scoreensemble model output statistics

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

Local scale invariance and robustness of proper scoring rules

Cites Work

• Making and Evaluating Point Forecasts
• Unimodal density estimation using Bernstein polynomials
• Probabilistic wind speed forecasting using Bayesian model averaging with truncated normal components
• Comparing Density Forecasts Using Threshold- and Quantile-Weighted Scoring Rules
• Strictly Proper Scoring Rules, Prediction, and Estimation
• Probabilistic Forecasts, Calibration and Sharpness

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