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Multivariate Time Series Analysis in Climate and Environmental Research

Authors: Zhang, Zhihua

  • Includes a comprehensive cover of theory, models and algorithms of state-of-the-art multivariate time series analysis
  • Discusses a lot of latest research advances in climate and environmental science
  • Provides a step-by-step guide on how to apply time series analysis tools in latest climate and environmental research
  • Is self-contained and accessible for researchers and advanced students in a wide range of disciplines
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Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-67340-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-67339-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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 addressed include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate Change, Ecosystem and Carbon Cycle, Paleoclimate, and Strategies for Climate Change Mitigation.

The self-contained guide will be of great value to researchers and advanced students from a wide range of disciplines: those from Meteorology, Climatology, Oceanography, the Earth Sciences and Environmental Science will be introduced to various advanced tools for analyzing multivariate data, greatly facilitating their research, while those from Applied Mathematics, Statistics, Physics, and the Computer Sciences will learn how to use these multivariate time series analysis tools to approach climate and environmental topics.  

About the authors

Prof. Dr. Zhihua Zhang (Beijing Normal University, China)
Dr. Zhang holds a Ph.D. degree (2007) from the University of California at Davis (USA). He is currently a full Professor of Climate Change at Beijing Normal University (BNU) and the Associate Director of Polar Climate and Environment Laboratory at BNU. He has published more than 50 first-authored research articles and a first-authored monograph entitled “Mathematical and Physical Fundamentals of Climate Change”. He has served in the editorial board of several ISI-JCR journals including International Journal of Global Warming, Journal of Cleaner Production, EURASIP Journal on Advances in Signal Processing (Springer) and Open Geosciences. In 2013 Dr. Zhang joined the AJGS as an Associate Editor responsible for evaluating submissions in the fields of Climate Change and Signal Processing.

Table of contents (10 chapters)

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-67340-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-67339-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Multivariate Time Series Analysis in Climate and Environmental Research
Authors
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-67340-0
DOI
10.1007/978-3-319-67340-0
Hardcover ISBN
978-3-319-67339-4
Edition Number
1
Number of Pages
XII, 287
Number of Illustrations and Tables
4 b/w illustrations, 3 illustrations in colour
Topics