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Calibrated Ensemble Forecasts Using Quantile Regression Forests and Ensemble Model Output Statistics
Publisher: American Meteorological Society
Abstract: nsembles used for probabilistic weather forecasting tend to be biased and underdispersive. This paper proposes a statistical method for postprocessing ensembles based on quantile regression forests (QRF), a generalization ...
Forest-Based and Semiparametric Methods for the Postprocessing of Rainfall Ensemble Forecasting
Publisher: American Meteorological Society
Abstract: AbstractTo satisfy a wide range of end users, rainfall ensemble forecasts have to be skillful for both low precipitation and extreme events. We introduce local statistical postprocessing methods based on quantile regression ...