Multivariate Time Series Analysis in Climate and Environmental Research

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

Auteur
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.

Contenu

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.