Assessment of Model Drifts in Seasonal Forecasting: Sensitivity to Ensemble Size and Implications for Bias Correction
Abstract Despite its systematic presence in state‐of‐the‐art seasonal forecasts, the model drift (leadtime‐dependent bias) has been seldom studied to date. To fill this gap, this work analyzes its spatiotemporal distribution, and its sensitivity to the ensemble size in temperature and precipitation...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Geophysical Union (AGU)
2020-03-01
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| coleção: | Journal of Advances in Modeling Earth Systems |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1029/2019MS001751 |
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