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

This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Lakshmanan, Valliappa (Editor ), Gilleland, Eric (Editor ), McGovern, Amy (Editor ), Tingley, Martin (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Temas:
Atmospheric science.
Climatology.
Environment.
Atmospheric Science.
Climate Sciences.
Environmental Sciences.
Acceso en línea:Texto Completo
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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