On the link between atmospheric cloud parameters and cosmic rays

TL;DR

This study analyzes cosmic ray data from multiple stations using advanced fractal analysis methods, revealing persistent long-range correlations and multifractal properties, and explores their potential link to cloud-related meteorological parameters.

Contribution

It applies DFA and MF-DFA to cosmic ray time series from four stations to uncover their intrinsic scaling properties and investigates their possible connection to cloud parameters.

Findings

Cosmic ray time series show positive long-range correlations.

They exhibit multifractal behavior across stations.

Potential links between cosmic rays and cloud parameters are explored.

Abstract

We herewith attempt to investigate the cosmic rays behavior regarding the scaling features of their time series. Our analysis is based on cosmic ray observations made at four neutron monitor stations in Athens (Greece), Jung (Switzerland) and Oulu (Finland), for the period 2000 to early 2017. Each of these datasets was analyzed by using the Detrended Fluctuation Analysis (DFA) and Multifractal Detrended Fluctuation Analysis (MF-DFA) in order to investigate intrinsic properties, like self-similarity and the spectrum of singularities. The main result obtained is that the cosmic rays time series at all the neutron monitor stations exhibit positive long-range correlations (of 1/f type) with multifractal behavior. On the other hand, we try to investigate the possible existence of similar scaling features in the time series of other meteorological parameters which are closely associated with the cosmic rays, such as parameters describing physical properties of clouds.