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

Liu Zhenxia

doi:10.5281/zenodo.17659617

November 20, 2025Open Access

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

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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.

Implication

Climatic and oceanographic data variability assessed using a novel scalar-vector index, possibly aiding future analyses.

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.”*

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Cite This Study

Liu Zhenxia (2025) studied this question.

synapsesocial.com/papers/6924f091c0ce034ddc350853 https://doi.org/10.5281/zenodo.17659617

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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

Key Points

Implication

Abstract

Discussion

Cite This Study

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