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Comparison of non-homogeneous regression models for probabilistic wind speed forecasting
In weather forecasting, non-homogeneous regression (NR) is used to statistically post-process forecast ensembles in order to obtain calibrated predictive distributions. For wind speed forecasts, the regression model is given by a truncated normal (TN) distribution, where location and spread derive f...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Stockholm University Press
2013-11-01
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| シリーズ: | Tellus: Series A, Dynamic Meteorology and Oceanography |
| 主題: | |
| オンライン･アクセス: | http://www.tellusa.net/index.php/tellusa/article/download/21206/pdf_1 |
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