Machine Learning and Data Mining Approaches to Climate Science : Proceedings of the 4th International Workshop on Climate Informatics /

Machine Learning and Data Mining Approaches to Climate Science : Proceedings of the 4th International Workshop on Climate Informatics /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Lakshmanan, Valliappa. (Editor ), Gilleland, Eric. (Editor ), McGovern, Amy. (Editor ), Tingley, Martin. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Materias:
Atmospheric sciences.
Climatology.
Climate change.
Atmospheric Sciences.
Climate Change.
Tabla de Contenidos:
  • From the Contents: Machine learning, statistics, or data mining, applied to climate science
  • Management and processing of large climate datasets
  • Long and short-term climate prediction
  • Ensemble characterization of climate model projections
  • Past (paleo) climate reconstruction.

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