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Counteracting structural errors in ensemble forecast of influenza outbreaks
For influenza forecasts generated using dynamical models, forecast inaccuracy is partly attributable to the nonlinear growth of error. As a consequence, quantification of the nonlinear error structure in current forecast models is needed so that this growth can be corrected and forecast skill improv...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640637/ https://www.ncbi.nlm.nih.gov/pubmed/29030543 http://dx.doi.org/10.1038/s41467-017-01033-1 |