Multivariate Time Series Analysis in Climate and Environmental Research

Focusing on advanced multivariate time series analysis, this book delves into theoretical frameworks, models, and algorithms while showcasing recent research in climate and environmental science. Key topics include Multivariate Time-Frequency Analysis, Artificial Neural Networks, and Stochastic Modeling, alongside discussions on global and regional climate change, ecosystem dynamics, the carbon cycle, paleoclimate studies, and strategies for climate change mitigation. It serves as a vital resource for understanding complex environmental data and its implications.