High resolution forecasting for wind energy applications using Bayesian model averaging

High resolution forecasting for wind energy applications using Bayesian model averaging

Two methods of post-processing the uncalibrated wind speed forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble prediction system (EPS) are presented here. Both methods involve statistically post-processing the EPS or a downscaled version of it with Bayesian model a...

Full description

Bibliographic Details
Main Authors: Jennifer F. Courtney, Peter Lynch, Conor Sweeney
Format: Article
Language:English
Published: Stockholm University Press 2013-02-01
Series:Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:
ensemble forecasting
BMA
calibration
probability distribution
verification
Online Access:http://www.tellusa.net/index.php/tellusa/article/view/19669/pdf_1

Similar Items

Similar Items