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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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Lakshmanan, Valliappa (Editor), Gilleland, Eric (Editor), McGovern, Amy (Editor), Tingley, Martin (Editor)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Subjects:
Atmospheric science.
Climatology.
Environment.
Atmospheric Science.
Climate Sciences.
Environmental Sciences.
Online Access:Texto Completo
Table of Contents:
  • 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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