Wavelet Coherence Of Total Solar Irradiance and Atlantic Climate

TL;DR

This study investigates the relationship between total solar irradiance and Atlantic climate oscillations using wavelet coherence analysis over a millennium, aiming to enhance understanding and prediction of climate change.

Contribution

It introduces wavelet coherence analysis of TSI and AMO over 800 years, revealing long-term correlations and improving climate variability understanding.

Findings

Detected significant coherence between TSI and AMO in specific frequency bands.

Identified common solar and climate cycles through wavelet and Fourier analysis.

Results suggest solar activity influences Atlantic climate variability.

Abstract

The oscillations of climatic parameters of North Atlantic Ocean play important role in various events in North America and Europe. Several climatic indices are associated with these oscillations. The long term Atlantic temperature anomalies are described by the Atlantic Multidecadal Oscillation (AMO). The Atlantic Multidecadal Oscillation also known as Atlantic Multidecadal Variability (AMV), is the variability of the sea surface temperature (SST) of the North Atlantic Ocean at the timescale of several decades. The AMO is correlated to air temperatures and rainfall over much of the Northern Hemisphere, in particular in the summer climate in North America and Europe. The long-term variations of surface temperature are driven mainly by the cycles of solar activity, represented by the variations of the Total Solar Irradiance (TSI). The frequency and amplitude dependences between the TSI and AMO are analyzed by wavelet coherence of millennial time series since 800 AD till now. The results of wavelet coherence are compared with the detected common solar and climate cycles in narrow frequency bands by the method of Partial Fourier Approximation. The long-term coherence between TSI and AMO can help to understand better the recent climate change and can improve the long term forecast.