Multivariate Time Series Analysis in Climate and Environmental Research
This book offers comprehensive information on the theory, models and algorithms involved in state-of-the-art multivariate time series analysis and highlights several of the latest research advances in climate and environmental science. The main topics add
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Multivariate Time Series Analysis in Climate and Environmental Research
Multivariate Time Series Analysis in Climate and Environmental Research
Zhihua Zhang
Multivariate Time Series Analysis in Climate and Environmental Research
123
Zhihua Zhang College of Global Change and Earth System Science Beijing Normal University Beijing China
ISBN 978-3-319-67339-4 ISBN 978-3-319-67340-0 https://doi.org/10.1007/978-3-319-67340-0
(eBook)
Library of Congress Control Number: 2017954476 © Springer International Publishing AG 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The Earth’s climate is a complex, multidimensional multiscale system in which different physical processes act on different temporal and spatial scales. Due to the increasing atmospheric greenhouse gas concentrations, global average temperatures increase with time as a result of interactions among components of the climate system. These interactions and the resulting variations in various climate parameters occur on a variety of timescales ranging from seasonal cycles, yearly cycles to those with times measured in hundreds of years. Climatologists and environmentalists are striking to extract meaningful information from huge amount of observational record and simulation data for the climate system. Classic univariate time series analysis is not capable to handle well these complex multidimensional data. Recently, the techniques and methods of multivariate time series analysis have gained great important in revealing mechanisms of climate change, modeling tempo-spatial evolution of climate change and predicting the trend of future climate change. This book covers the
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