Improving seasonal forecasts of air temperature using a genetic algorithm

Seasonal forecasts of air-temperature generated by numerical models provide guidance to the planners and to the society as a whole. However, generating accurate seasonal forecasts is challenging mainly due to the stochastic nature of the atmospheric internal variability. Therefore, an array of ensem...

Descripción completa

Detalles Bibliográficos
Autores principales: Ratnam, J. V., Dijkstra, H. A., Doi, Takeshi, Morioka, Yushi, Nonaka, Masami, Behera, Swadhin K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6726601/
https://www.ncbi.nlm.nih.gov/pubmed/31484983
http://dx.doi.org/10.1038/s41598-019-49281-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6726601/
https://www.ncbi.nlm.nih.gov/pubmed/31484983
http://dx.doi.org/10.1038/s41598-019-49281-z

Ejemplares similares