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
This repository contains all datasets and source codes used in the manuscript *“A Clifford Wavelet-Based Coupled Scalar-Vector Spatiotemporal Variability Index for Climatic and Oceanographic Data.”*