Cross Comparison of Traditional and Innovative Trend Methodologies to Understand Climate Change Process

Cross Comparison of Traditional and Innovative Trend Methodologies to Understand Climate Change Process | 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 Cross Comparison of Traditional and Innovative Trend Methodologies to Understand Climate Change Process Gamze Tuncer, Osman Sönmez, Ismail Dabanli This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4467061/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 The impacts of climate change have been markedly observed worldwide, particularly since the 1990s. To understand, adapt to, and prepare for the adverse consequences of climate change, it is necessary to analyze hydroclimatic parameters such as precipitation, temperature, and humidity. Assessing the average characteristics of these parameters is essential for future measures and adaptation strategies. Addressing climate change involves two main approaches: analysis of past events and generation of future projections. Trend analysis serves as a method for understanding past records. A comparative examination of well-established and recent innovative methodologies offers new insights into the dynamics of change. For this purpose, the Mann-Kendall test, Innovative Sen (ITA), and Innovative Polygon Method (IPTA) are applied, and their outcomes are compared by evaluating the record period spanning from 1966 to 2022. While the Mann-Kendall trend test generally does not imply a significant trend, the ITA approach provides outputs that should be considered for future flood and drought studies. A decreasing trend in precipitation alongside increasing trends in temperature and humidity are observed throughout the studied basin. The ITA method detected both increasing and decreasing trends in almost all of the data whereas no trend was observed according to the Mann-Kendall test. Moreover, the IPTA method provides a more detailed analysis of the time series. Consequently, it is inferred that the IPTA and ITA approaches exhibit greater sensitivity compared to the Mann-Kendall test in detecting trends. Climate change Trend analysis Mann-Kendall test ITA IPTA Full Text Additional Declarations No competing interests reported. Supplementary Files supplementarymaterialsrevised.docx 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-4467061","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":309793527,"identity":"0e09ac84-3835-4360-ae91-9a8b0c81b937","order_by":0,"name":"Gamze Tuncer","email":"","orcid":"","institution":"Sakarya University","correspondingAuthor":false,"prefix":"","firstName":"Gamze","middleName":"","lastName":"Tuncer","suffix":""},{"id":309793528,"identity":"2d55f6cb-dc17-4a7d-ae37-1c9f39bac02f","order_by":1,"name":"Osman Sönmez","email":"","orcid":"","institution":"Sakarya University","correspondingAuthor":false,"prefix":"","firstName":"Osman","middleName":"","lastName":"Sönmez","suffix":""},{"id":309793529,"identity":"1fd90c10-969c-4bf9-8a3d-936bb1887111","order_by":2,"name":"Ismail Dabanli","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAw0lEQVRIiWNgGAWjYDCCAzxAokBCjg3MYyNai4GEMRsbVAsPkVoYEhuI1sJ3/OzBzwUGFul98j0GDB/KDjPYSx/Ar0XyTF6y9AwDidw2Nh4DxhnnDjPw8CXg12JwIMdAmgeqhZm3DaiFkMsMzr8x/g3Uks4G0vKXKC03csxAtiSAtTASo0Xyxrs0a6AWwza2tIKDPefSeXjOENDCdz738G2eijp5+ebDGx/8KLOWY+8hoAUFHGAgJiZHwSgYBaNgFBAGABIkNdr+fH47AAAAAElFTkSuQmCC","orcid":"","institution":"Istanbul Technical University","correspondingAuthor":true,"prefix":"","firstName":"Ismail","middleName":"","lastName":"Dabanli","suffix":""}],"badges":[],"createdAt":"2024-05-23 13:03:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4467061/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4467061/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":61269292,"identity":"890ca921-1c78-4144-8212-5edd90888bed","added_by":"auto","created_at":"2024-07-29 01:31:05","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1966484,"visible":true,"origin":"","legend":"","description":"","filename":"revisedmanuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4467061/v1_covered_d56f99f1-cb62-4154-862c-8457a58683aa.pdf"},{"id":57770811,"identity":"6506b204-3c6a-409f-921a-f2f41e2fe6df","added_by":"auto","created_at":"2024-06-05 12:07:15","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":6093545,"visible":true,"origin":"","legend":"","description":"","filename":"supplementarymaterialsrevised.docx","url":"https://assets-eu.researchsquare.com/files/rs-4467061/v1/938ef8c041fae88645a9a824.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Cross Comparison of Traditional and Innovative Trend Methodologies to Understand Climate Change Process","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","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":"Climate change, Trend analysis, Mann-Kendall test, ITA, IPTA","lastPublishedDoi":"10.21203/rs.3.rs-4467061/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4467061/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe impacts of climate change have been markedly observed worldwide, particularly since the 1990s. 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