UID:
almahu_9947409101102882
Format:
XII, 287 p. 7 illus., 3 illus. in color.
,
online resource.
ISBN:
9783319673400
Content:
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. .
Note:
Multivariate Harmonic Analysis -- Multivariate Wavelets and Framelits -- Artificial Neural Networks -- Stochastic Modeling and Optimization -- Spectral Analysis -- Global Climate Change -- Regional Climate Change -- Ecosystem and Carbon Cycle -- Paleoclimate -- Strategies for climate change mitigation.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783319673394
Language:
English
Keywords:
Electronic books
;
Lehrbuch
DOI:
10.1007/978-3-319-67340-0
URL:
http://dx.doi.org/10.1007/978-3-319-67340-0
URL:
Ebook (access only within the AWI network)
URL:
Volltext
(URL des Erstveröffentlichers)
