Performance evaluation of AfriTEC model during quiet and disturbed time over East African sector

Performance evaluation of AfriTEC model during quiet and disturbed time over East African sector | 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 Performance evaluation of AfriTEC model during quiet and disturbed time over East African sector Efrem Amanuel Data This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5542448/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 This paper presents a performance evaluation of the African Regional Ionospheric Total Electron Content (AfriTEC) model during both quiet and disturbed conditions from the solar maximum year of 2014 and the solar minimum year of 2009 in the East African sector. The analysis was conducted using data from GPS receivers with IGSS stations located at (geographic lat and long: for ADIS 9.03oN 38.76oE, BDMT 11.6oN 37.35oE, MOIU 0.28oN 35.29oE, MAL2 -2.99oS 40.19oE, DODM -6.17oS 35.75oE and MBAR 0.60oS 30.65oE). The AfriTEC model provides output data in folder, which is consistent with the derived GPS-TEC data. Geomagnetic indices data of Kp values ranging from 0 to 4.2 for 2014 and from 0 to 3 for 2009 and Dst index value between 20 to -65 for 2014 and 2009 year its value ranging 10 to -50 nT were obtained from the OMNIWEB data source. The monthly, seasonal, and diurnal characteristics of AfriTEC estimates for the equatorial and low latitudinal region's ionosphere are validated by using RMSE and MAE. The MAE is typically greater than 1.3 for all stations, indicating a strong correlation between the observations and related predictions. The paper also discusses the validation of the AfriTEC ionospheric model to ensure its accuracy and reliability under both quiet and disturbed conditions in the East African region. Space Exploration Geophysics Astrophysics and Cosmology AfriTEC model vertical Total Electron Content GPS-TEC Dst index. Full Text Additional Declarations The authors declare no competing interests. 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5542448","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":383918779,"identity":"0dfcdc63-855f-48d1-984f-f4977727b3da","order_by":0,"name":"Efrem Amanuel Data","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2UlEQVRIiWNgGAWjYBAC9gY4i/kAkJSQIaiF5wCMxcyWANLCQ4oWHgOwAGEt0qcTP92ouZPYz8zz+dWNGgseBvbDRzfg1cKXu1k659izxJnNvNusc44BHcaTlnYDnxZ7Ht4N0jlshxM3HObdZpzDBtQiwWOGVwsPD+/m3zn/DifuP8zzzDjnH3FatknntgFtYeZhfpzbRqQW69y+w8YzDrOZMef2SfCwEfILyGG3c74dlu1vb378OedbnRw/++FjeLUgAzYJMEmschBg/kCK6lEwCkbBKBg5AACKyUQfYDk4BgAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0009-0006-3668-5445","institution":"Wolaita Sodo University","correspondingAuthor":true,"prefix":"","firstName":"Efrem","middleName":"Amanuel","lastName":"Data","suffix":""}],"badges":[],"createdAt":"2024-11-28 12:23:12","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-5542448/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5542448/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":70419154,"identity":"83dbb71c-b964-4248-bea1-e9d7af572685","added_by":"auto","created_at":"2024-12-03 03:52:32","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":4256404,"visible":true,"origin":"","legend":"","description":"","filename":"Aarticle.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5542448/v1_covered_9ed223b1-df73-4fd8-b5d5-22f92c53211d.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003ePerformance evaluation of AfriTEC model during quiet and disturbed time over East African sector\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Wolaita Sodo University","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"AfriTEC model, vertical Total Electron Content, GPS-TEC, Dst index.","lastPublishedDoi":"10.21203/rs.3.rs-5542448/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5542448/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper presents a performance evaluation of the African Regional Ionospheric Total Electron Content (AfriTEC) model during both quiet and disturbed conditions from the solar maximum year of 2014 and the solar minimum year of 2009 in the East African sector. The analysis was conducted using data from GPS receivers with IGSS stations located at (geographic lat and long: for ADIS 9.03oN \u0026nbsp;38.76oE, BDMT 11.6oN 37.35oE, MOIU 0.28oN 35.29oE, MAL2 -2.99oS 40.19oE, DODM -6.17oS \u0026nbsp;35.75oE and MBAR 0.60oS 30.65oE). The AfriTEC model provides output data in folder, which is \u0026nbsp;consistent with the derived GPS-TEC data. Geomagnetic indices data of Kp values ranging from 0 to \u0026nbsp;4.2 for 2014 and from 0 to 3 for 2009 and Dst index value between 20 to -65 for 2014 and 2009 year its \u0026nbsp;value ranging 10 to -50 nT were obtained from the OMNIWEB data source. The monthly, seasonal, and \u0026nbsp;diurnal characteristics of AfriTEC estimates for the equatorial and low latitudinal region's ionosphere \u0026nbsp;are validated by using RMSE and MAE. The MAE is typically greater than 1.3 for all stations, \u0026nbsp;indicating a strong correlation between the observations and related predictions. 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