Machine Learning and Data Mining Approaches to Climate Science

Machine Learning and Data Mining Approaches to Climate Science
Author: Valliappa Lakshmanan
Publisher: Springer
Total Pages: 243
Release: 2015-06-30
Genre: Science
ISBN: 3319172204


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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 are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014.

Proceedings

Proceedings
Author:
Publisher:
Total Pages: 404
Release: 1987
Genre: Aerial spraying and dusting in forestry
ISBN:


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Climatological Bulletin

Climatological Bulletin
Author:
Publisher:
Total Pages: 266
Release: 1985
Genre: Climatology
ISBN:


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Proceedings RMRS.

Proceedings RMRS.
Author:
Publisher:
Total Pages: 266
Release: 1998
Genre: Forests and forestry
ISBN:


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