Quantitative Analysis of the Influence of Solar CycleVariations on Timing, Number and Magnitude ofForbush Events at Moscow and Oulu Stations | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Quantitative Analysis of the Influence of Solar CycleVariations on Timing, Number and Magnitude ofForbush Events at Moscow and Oulu Stations Ogbonnaya Okike, C. I. Onah This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8073483/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Although investigations of short-term time-intensity changes, such asForbush decreases (FDs) and cosmic ray (CR) diurnal anisotropies, and long-term CR flux variations began decades ago, the influence of the 11-year solarcycle variations on FDs is rarely examined in detail. This study presents, forthe first time, the quantitative implications of the 11-year CR cycle on FDs.The rigorous analyses performed show that the 11-year Solar Cycle variationssignificantly influence the timing, number, and magnitude of FD event charac-teristics. Long-term variations can induce a significant number of spurious FDsin raw CR data. These false FDs can lead to serious false alarms in space weatherpredictions and FD-based research. Since these spurious FDs are ubiquitous, asevidenced by the results, manual or semi-automated case event analysis of FDsis inefficient. Thus, many existing catalogs of FDs created without accountingfor the 11-year Solar Cycle variation may be flawed. The efficiency and speedof the computer subroutines implemented in this work to account for both thelong- and short-term CR variations may be useful in predicting space weatherhazards. cosmic rays Forbush decreases Fourier transformation algorithms automatic detection consistent FDs solar cycles Full Text Additional Declarations No competing interests reported. Supplementary Files SOURCEFILE.zip CONFLICTOFINTERESTE.pdf Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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