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Multivariate Time Series Analysis in Climate and Environmental Research

✍ Scribed by Zhihua Zhang (auth.)


Publisher
Springer International Publishing
Year
2018
Tongue
English
Leaves
293
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter ....Pages i-xii
Artificial Neural Network (Zhihua Zhang)....Pages 1-35
Multivariate Harmonic Analysis (Zhihua Zhang)....Pages 37-95
Multivariate Wavelets (Zhihua Zhang)....Pages 97-148
Stochastic Representation and Modeling (Zhihua Zhang)....Pages 149-178
Multivariate Spectral Analysis (Zhihua Zhang)....Pages 179-203
Climate Modeling (Zhihua Zhang)....Pages 205-216
Regional Climate Change (Zhihua Zhang)....Pages 217-231
Ecosystem and Carbon Cycle (Zhihua Zhang)....Pages 233-249
Paleoclimate Proxies (Zhihua Zhang)....Pages 251-261
Strategies for Climate Change Mitigation (Zhihua Zhang)....Pages 263-287

✦ Subjects


Climate Change


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