Edge Adapted Wavelets, Solar Magnetic Activity, and Climate Change

TL;DR

This paper introduces an edge-adapted wavelet transform method to better analyze solar magnetic activity signals and explores their correlation with climate change indicators over several centuries.

Contribution

It develops a novel edge-adapted wavelet transform approach that improves signal analysis near boundaries and applies it to solar activity and climate data comparison.

Findings

Strong correlation between solar activity and temperature from 1610 to 1990.

Edge-adapted wavelet method provides more accurate analysis of truncated signals.

Observed deviation in temperature increase post-1990.

Abstract

The continuous wavelet transform is adapted to account for signal truncation through renormalization and by modifying the shape of the analyzing window. Comparison is made of the instant and integrated wavelet power with previous algorithms. The edge adapted and renormalized admissible wavelet transforms are used to estimate the level of solar magnetic activity from the sunspot record. The solar activity is compared to Oerlemans' temperature reconstruction and to the Central England Temperature record. A correlation is seen for years between 1610 and 1990, followed by a strong deviation as the recently observed temperature increases.