Wind speed persistence at the Fernando de Noronha archipelago, Brazil

Wind speed persistence at the Fernando de Noronha archipelago, Brazil | 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 Wind speed persistence at the Fernando de Noronha archipelago, Brazil Allan Robert Silva, Tatijana Stosic, Borko Stosic This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-194860/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Feb, 2021 Read the published version in Theoretical and Applied Climatology → Version 1 posted 5 You are reading this latest preprint version Abstract The use of wind energy has been growing worldwide continuously over the last years due to global efforts to combat climate change. The modern turbines are becoming ever more cost effective, and are gaining features that aim to reduce further the impact on the environment, such as reducing noise or increasing the height. In this context, the current study investigates the persistence of wind in Fernando de Noronha archipelago, an important Brazilian ecological site, using hourly wind speed data at 100m height. To this end, data from Era5 reanalysis were used, as they present high resolution and good performance in estimating meteorological data, and two well-known methods were applied to quantify wind persistence: duration curve and conditional probability. In addition, a novel method is proposed regarding persistence probability of periods of viable energy generation. The results obtained show that Fernando de Noronha archipelago presents rather high wind persistence on a monthly scale, with considerably long intervals of wind speed useful for wind power generation. Climatology Climate Analysis and Modeling wind speed Era5 persistence duration curve conditional probability persistence probability Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Full Text Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the latest manuscript can be downloaded and accessed as a PDF. Cite Share Download PDF Status: Published Journal Publication published 24 Feb, 2021 Read the published version in Theoretical and Applied Climatology → Version 1 posted Editorial decision: Accept as is 15 Feb, 2021 Reviews received at journal 10 Feb, 2021 Reviewers invited by journal 09 Feb, 2021 Editor assigned by journal 09 Feb, 2021 First submitted to journal 31 Jan, 2021 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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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-194860","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":12077482,"identity":"296abd15-ac37-4570-a3a1-3a0213060829","order_by":0,"name":"Allan Robert Silva","email":"data:image/png;base64,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","orcid":"https://orcid.org/0000-0001-5733-7438","institution":"Universidade Federal de Sergipe","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Allan","middleName":"Robert","lastName":"Silva","suffix":""},{"id":12077483,"identity":"430fe9b4-f12a-4a3e-b735-f9a7e261fa50","order_by":1,"name":"Tatijana Stosic","email":"","orcid":"","institution":"Universidade Federal Rural de Pernambuco","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Tatijana","middleName":"","lastName":"Stosic","suffix":""},{"id":12077484,"identity":"e8344932-4cc6-4af8-80ac-9be22e52cf11","order_by":2,"name":"Borko Stosic","email":"","orcid":"","institution":"Universidade Federal Rural de Pernambuco","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Borko","middleName":"","lastName":"Stosic","suffix":""}],"badges":[],"createdAt":"2021-01-31 18:09:55","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-194860/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-194860/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00704-021-03571-7","type":"published","date":"2021-02-24T19:05:38+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":6066852,"identity":"37348bd2-6427-4d93-b645-5ad06cb25bcd","added_by":"auto","created_at":"2021-02-17 20:43:16","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":74517,"visible":true,"origin":"","legend":"Map of Brazil highlighting the state of Pernambuco, and zoom of the Fernando de Noronha island. 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