Secondary forecast models. The ENSO example.
"In this note, a procedure to construct predictors is suggested that could take advantage of the increasing predictive skill of ENSO models. These so-called secondary forecast models (SFM) attempt to produce a forecast for a particular object application based on independent forecasts of ENSO....
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2000 |
| País: | México |
| Institución: | Centro de Investigación Científica y de Educación Superior de Ensenada |
| Repositorio: | Repositorio Institucional CICESE |
| Idioma: | inglés |
| OAI Identifier: | oai:cicese.repositorioinstitucional.mx:1007/1639 |
| Acceso en línea: | http://cicese.repositorioinstitucional.mx/jspui/handle/1007/1639 |
| Access Level: | acceso abierto |
| Palabra clave: | info:eu-repo/classification/WOS/El-Nino, Rainfall, California, Impacts, Weather info:eu-repo/classification/cti/1 info:eu-repo/classification/cti/25 info:eu-repo/classification/cti/2510 info:eu-repo/classification/cti/251007 |
| Sumario: | "In this note, a procedure to construct predictors is suggested that could take advantage of the increasing predictive skill of ENSO models. These so-called secondary forecast models (SFM) attempt to produce a forecast for a particular object application based on independent forecasts of ENSO. Although their predictive skill may be modest, these models can provide an alternate and objective forecast to the entirely subjective schemes more widely used. An example of the application of SFM to the forecast of the seasonal precipitation of a typical station of the Mediterranean Californias shows promising results." |
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