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Author:   Valliappa Lakshmanan ,  Eric Gilleland ,  Amy McGovern ,  Martin Tingley
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2015
Weight:   4.524kg
ISBN:  

9783319365589

ISBN 10:   3319365584
Pages:   252
Publication Date:   15 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of 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.- Uncertainty quantification.- Spatio-temporal methods applied to climate data.- Time series methods applied to climate data.- Methods for modeling, detecting and predicting climate extremes.- Climate change attribution.- Dependence and causality among climate variables.- Detection and characterization of climate teleconnections.- Data assimilation.- Climate model parameterizations.- Hybrid methods.

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