Machine Learning and Data Mining Approaches to Climate Science

Proceedings of the 4th International Workshop on Climate Informatics

Valliappa Lakshmanan, Eric Gilleland, Amy McGovern, Martin Tingley (Herausgeber)

Buch | Hardcover

IX, 252 Seiten

2015 | 2015
Springer International Publishing (Verlag)
978-3-319-17219-4 (ISBN)

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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.

Dr. Valliappa Lakshmanan is an expert in machine intelligence for meteorological applications, and in designing and developing large-scale software systems. He is skilled in communicating technical and non-technical material to diverse audiences. He has studied at the Indian Institute of Technology in Madras, the Ohio State University in Columbus and the University of Oklahoma. Dr. Lakshmanan is currently employed as a Research Scientist at CIMMS, being the technical lead on several software projects and research groups. He also develops automated real-time pattern recognition algorithms and visualization techniques for weather phenomena. He has (co-)written many journal articles.

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.

Erscheint lt. Verlag	10.7.2015
Zusatzinfo	IX, 252 p. 89 illus., 73 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
	Naturwissenschaften ► Geowissenschaften ► Geologie
	Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie
Schlagworte	climate change • Climate extremes • Climate Informatics • climate prediction • Data Mining • Pattern Recognition for Climate
ISBN-10	3-319-17219-0 / 3319172190
ISBN-13	978-3-319-17219-4 / 9783319172194
Zustand	Neuware