Improving seasonal precipitation forecast for agriculture in the Orinoquía Region of Colombia
Canonical correlation analysis (CCA) is used to improve the skill of seasonal forecasts in the Orinoquía region, where over 40% of Colombian rice is produced. Seasonal precipitation and frequency of wet days are predicted, as rice yields simulated by a calibrated crop model are better correlated wit...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
American Meteorological Society
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/106601 |
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