A Clifford Wavelet-Based Coupled Scalar-Vector Spatiotemporal Variability Index for Climatic and Oceanographic Data

Key Points

• Novel spatiotemporal variability index developed for climatic and oceanographic data analysis, impacting climate research.
• Key innovation is the Clifford wavelet approach that enhances analysis of scalar-vector data for diverse applications in climatology.
• Methodology emphasizes data coupling for improved variability interpretation over time and space in climate studies.
• Future implications may support enhanced predictive models in climate science, promoting better understanding of global patterns.

Abstract