Multivariate time series analysis in climate and environmental research /

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Bibliographic Details
Author / Creator:Zhang, Zhihua.
Imprint:Cham : Springer, ©2018.
Description:1 online resource (293 pages)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11542353
Hidden Bibliographic Details
ISBN:9783319673400
3319673408
9783319673394
Digital file characteristics:text file PDF
Notes:""3.7.3 Wavelet Variance""
Print version record.
Summary: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.
Other form:Print version: Zhang, Zhihua. Multivariate Time Series Analysis in Climate and Environmental Research. Cham : Springer International Publishing, ©2017 9783319673394
Standard no.:10.1007/978-3-319-67340-0
10.1007/978-3-319-67