Application of combined WRF-Chem and HYSPLIT models for dust storm detection in Central Iran (case study of Isfahan province, May 21-23, 2016)

Application of combined WRF-Chem and HYSPLIT models for dust storm detection in Central Iran (case study of Isfahan province, May 21-23, 2016) | 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 Application of combined WRF-Chem and HYSPLIT models for dust storm detection in Central Iran (case study of Isfahan province, May 21-23, 2016) Farshad Soleimani Sardoo, Nasim Hossein Hamzeh, Nir Krakauer This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4587802/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 Dust is one of the most important problems of human societies in arid and semi-arid areas. This study analyzed the rising and propagation of the dust storm from May 21 to 23, 2016 in Isfahan province (central Iran) by using the WRF-Chem and HYSPLYT models. The dust storm was visualized using MODIS sensor data of Terra and Aqua satellites, and the dust emission and transport was simulated for central Iran by using WRF-Chem with the AFWA and GOCART schemes,. The results showed that the amount of dust concentration on Sistan and Baluchistan province and the Persian Gulf was as high as 2000 mg/m 3 and both schemes estimate the highest amount of dust emissions from the central parts of Iran and the eastern part of Isfahan province. PM10 data of Yazd station was used to verify the model outputs, which showed that the AFWA dust scheme has a higher correlation coefficient with observations (0.62) than GOCART dust scheme. This case study suggests that the WRF-Chem dust schemes reasonably simulate dust rising and propagation in central Iran but that improvements are still needed for accurate prediction of dust concentrations and extents. Dust storm WRF-Chem model HYSPLYT model MODIS GOCART dust Scheme AFWA dust scheme Isfahan Province Full Text Additional Declarations No competing interests reported. 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-4587802","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":320864335,"identity":"0f3944d1-0da3-43ea-8fa8-b2640be9ae9d","order_by":0,"name":"Farshad Soleimani Sardoo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABC0lEQVRIiWNgGAWjYBAC9gYg8YBBAkgyNj5g4AEymA+AZXhwaeEBySdAtDQbgLWwJROlBQzYJCBUMn6H8TCwP3yQUGERzT+7ua2aR8Yin5+N/wDDjxoGGfMGXFp4jA0SzkjkzrhzsO02D4+E5cw2ZgbGnmMMPDIHsGuxZ+Bhk0hsk8htuJEI1mJgcL+ZgYG3AewtXA57JpH4TyJ3PlBLMVjLMaAtf/FqYTCTSGyQyN0A1MIM08KM1xZmkF+OSeRuvJHYLDkHqEWyjdngsMwxCdxa2NsfPvhQU5c770b6ww9ve+oM+NkYHz58U2Njj0sLAzMyh7EHQh9gYMCpAR38IFbhKBgFo2AUjCQAAP29SqZN/ZoPAAAAAElFTkSuQmCC","orcid":"","institution":"University of Jiroft","correspondingAuthor":true,"prefix":"","firstName":"Farshad","middleName":"Soleimani","lastName":"Sardoo","suffix":""},{"id":320864336,"identity":"5df31cbb-1922-409f-a0d5-dad5281dc584","order_by":1,"name":"Nasim Hossein Hamzeh","email":"","orcid":"","institution":"Ferdowsi University of Mashhad","correspondingAuthor":false,"prefix":"","firstName":"Nasim","middleName":"Hossein","lastName":"Hamzeh","suffix":""},{"id":320864337,"identity":"78ed9937-465f-40a2-8357-1f475a4d0e01","order_by":2,"name":"Nir Krakauer","email":"","orcid":"","institution":"The City College of New York","correspondingAuthor":false,"prefix":"","firstName":"Nir","middleName":"","lastName":"Krakauer","suffix":""}],"badges":[],"createdAt":"2024-06-15 21:08:21","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4587802/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4587802/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":59640329,"identity":"f2460772-96dd-4639-b4a1-aa5f976b47fb","added_by":"auto","created_at":"2024-07-04 07:47:40","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1091377,"visible":true,"origin":"","legend":"","description":"","filename":"climatology.new.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4587802/v1_covered_32100f35-5f13-4795-b9b8-9bb6e77e4bd2.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Application of combined WRF-Chem and HYSPLIT models for dust storm detection in Central Iran (case study of Isfahan province, May 21-23, 2016)","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":"Dust storm, WRF-Chem model, HYSPLYT model, MODIS, GOCART dust Scheme, AFWA dust scheme, Isfahan Province","lastPublishedDoi":"10.21203/rs.3.rs-4587802/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4587802/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDust is one of the most important problems of human societies in arid and semi-arid areas. 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