Machine learning and data mining approaches to climate science : proceedings of the 4th International Workshop on Climate Informatics /

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Bibliographic Details
Meeting name:International Workshop on Climate Informatics (4th : 2014 : Boulder, Colo.)
Imprint:Cham ; New York : Springer, [2015]
©2015
Description:1 online resource : illustrations
Language:English
Series:Online access with purchase: Springer (t)
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11094968
Hidden Bibliographic Details
Other authors / contributors:Lakshmanan, Valliappa, editor.
Gilleland, Eric, editor.
McGovern, Amy, editor.
Tingley, Martin P., editor.
ISBN:9783319172200
3319172204
3319172190
9783319172194
9783319172194
Notes:Includes bibliographical references and index.
Vendor-supplied metadata.
Summary: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.
Other form:Printed edition: 9783319172194
Standard no.:10.1007/978-3-319-17220-0
Description
Summary:

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.

Physical Description:1 online resource : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9783319172200
3319172204
3319172190
9783319172194