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Ensemble Model Output Statistics for Wind Vectors
Publisher: American Meteorological Society
Abstract: bivariate ensemble model output statistics (EMOS) technique for the postprocessing of ensemble forecasts of two-dimensional wind vectors is proposed, where the postprocessed probabilistic forecast takes the form of a ...
Spatial Postprocessing of Ensemble Forecasts for Temperature Using Nonhomogeneous Gaussian Regression
Publisher: American Meteorological Society
Abstract: tatistical postprocessing techniques are commonly used to improve the skill of ensembles from numerical weather forecasts. This paper considers spatial extensions of the well-established nonhomogeneous Gaussian regression ...
Probabilistic Wind Gust Forecasting Using Nonhomogeneous Gaussian Regression
Publisher: American Meteorological Society
Abstract: joint probabilistic forecasting framework is proposed for maximum wind speed, the probability of gust, and, conditional on gust being observed, the maximum gust speed in a setting where only the maximum wind speed forecast ...
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