Multivariate Time Series Analysis in Climate and Environmental Research

Focusing on advanced multivariate time series analysis, this book delves into theories, models, and algorithms crucial for understanding climate and environmental science. Key topics include Multivariate Time-Frequency Analysis, Artificial Neural Networks, and Stochastic Modeling. It also explores significant research advances related to global and regional climate change, the ecosystem, the carbon cycle, paleoclimate, and effective strategies for climate change mitigation. The work serves as a valuable resource for researchers and practitioners in the field.