Multivariate Time Series Analysis in Climate and Environmental Research

  • Zhihua¬†Zhang

Table of contents

  1. Front Matter
    Pages i-xii
  2. Zhihua Zhang
    Pages 1-35
  3. Zhihua Zhang
    Pages 37-95
  4. Zhihua Zhang
    Pages 97-148
  5. Zhihua Zhang
    Pages 149-178
  6. Zhihua Zhang
    Pages 179-203
  7. Zhihua Zhang
    Pages 205-216
  8. Zhihua Zhang
    Pages 217-231
  9. Zhihua Zhang
    Pages 233-249
  10. Zhihua Zhang
    Pages 251-261
  11. Zhihua Zhang
    Pages 263-287

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.  


Time-frequency analysis Stochastic modeling and optimization Global and regional climate change Strategies for climate change mitigation Algorithms in climate science Algorithms in environmental science

Authors and affiliations

  • Zhihua¬†Zhang
    • 1
  1. 1.College of Global Change and Earth System ScienceBeijing Normal UniversityBeijingChina

Bibliographic information

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