Ensemble Learning for Bias Correction of Station Temperature Forecast Based on ECMWF Products
To improve the accuracy of numerical weather prediction (NWP) and its ability for extreme weather event forecast, a hybrid model based on ensemble learning is proposed and tested by post-processing one of the most successfully predicted variables, temperature at 2 m height. The NWP dataset used is p...
| Váldodahkkit: | , , , , , |
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| Materiálatiipa: | Artihkal |
| Giella: | English |
| Almmustuhtton: |
Editorial Office of Journal of Applied Meteorological Science
2020-07-01
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| Ráidu: | 应用气象学报 |
| Fáttát: | |
| Liŋkkat: | http://qikan.camscma.cn/en/article/doi/10.11898/1001-7313.20200411 |