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Spatial forecast postprocessing: The Max-and-Smooth approach

By Stefan Siegert and others
Numerical weather forecasts can exhibit systematic errors due to simplifying model assumptions and computational approximations. Statistical postprocessing is a statistical approach to correcting such biases. A statistical postprocessing model takes input data from a numerical forecast model, and outputs a parametric predictive distribution of a real-world observation, with model parameters... Show more
September 1, 2022
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Spatial forecast postprocessing: The Max-and-Smooth approach
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