Analysis of heavy Rainfall  over Uttar Pradesh (India) during the 2019 Southwest Monsoon

Analysis of heavy Rainfall over Uttar Pradesh (India) during the 2019 Southwest Monsoon | 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 Analysis of heavy Rainfall over Uttar Pradesh (India) during the 2019 Southwest Monsoon Shashi Kant, Ms Ruma, Deepak Kumar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6517887/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 aims to detect trend of heavy rainfall and the possible environmental conditions over the state of Uttar Pradesh, India during the southwest monsoon (SWM) 2019. Following India Meteorological Department (IMD) criteria, rainfall ($r>64.4$ mm/day) days were studied into three categories, heavy rainfall days, very heavy rainfall days and extremely heavy rainfall days. East Uttar Pradesh was more active compared to west Uttar Pradesh. July experienced the most frequent Heavy rainfall and Very heavy rainfall in both East & West Uttar Pradesh. East Uttar Pradesh recorded significantly more instances of Heavy rainfall events compared to West Uttar Pradesh, especially in the month of July. August had the fewest stations reporting extremely heavy rainfall in both the regions of Uttar Pradesh. The data also revealed that heavy rainfall events occurred in distinct phases. For instance, major wet spells were observed during June 22–25, July 6–15 and 24–28, August 5–7 and 20–24, and September 17–19 and 27–30. In this study, we identified and filtered the major wet spells during which significant rainfall was recorded. Six episodes were then examined to gain a basic understanding of the dominant synoptic systems, as highlighted in the All India Weather Reports from the IMD. Meteorological analysis indicated that the key synoptic systems associated with these events included low pressure areas and Cyclonic Circulations. This study may have potential application in disaster management and operational forecasts & warning services. Heavy rainfall Summer Monsoon 2019 Meteorological analysis Uttar 25 Pradesh 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. 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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-6517887","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":523045600,"identity":"455c3455-51fd-4c9b-b8f0-bf37f0147fe2","order_by":0,"name":"Shashi Kant","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9klEQVRIie3PMQuCQBTA8RPBFqO1o88QFMG1iH6QFuWgpqCxQeRcamtu6Cu0Ol88sEVyFVqKoDkIGqOXQxCh1RZ0f1DhuB/vSYhK9ZPpQuK7RXRi4NfCRwtlOdGeSP9xUkpITkhOID8rJbVGGMJoHHSa08rxMPZTezkFnOJbvSJCFysB8wQYA7PbTuItjxIPSdwfigLSyjwB1Ym0kBhUGFvOJBJNwBtyDZBUjlRcN5yl+0+I0HExwmg4kTbL3kyhcyRmDB1cDMmMuyzDKW7Jv9TqHM6mH7SjdI2LXWyHpYP97uRbheQlL7/pfnr9nvPNZZVKpfqPbhnfZh4dWZTtAAAAAElFTkSuQmCC","orcid":"","institution":"India Meteorological Department","correspondingAuthor":true,"prefix":"","firstName":"Shashi","middleName":"","lastName":"Kant","suffix":""},{"id":523045601,"identity":"33de3f89-d240-4262-a067-6dba0cb297ee","order_by":1,"name":"Ms Ruma","email":"","orcid":"","institution":"Manav Rachna International Institute of Research and Studies","correspondingAuthor":false,"prefix":"","firstName":"Ms","middleName":"","lastName":"Ruma","suffix":""},{"id":523045602,"identity":"ae255149-8ac0-4560-be04-c0912ad98071","order_by":2,"name":"Deepak Kumar","email":"","orcid":"","institution":"Manav Rachna International Institute of Research and Studies","correspondingAuthor":false,"prefix":"","firstName":"Deepak","middleName":"","lastName":"Kumar","suffix":""}],"badges":[],"createdAt":"2025-04-24 06:53:32","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6517887/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6517887/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":92578446,"identity":"08644f25-efd9-48c4-92b1-14c80fa3d398","added_by":"auto","created_at":"2025-10-01 08:48:37","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1395750,"visible":true,"origin":"","legend":"","description":"","filename":"MESSKantPaper.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6517887/v1_covered_6f13791b-60cc-42c1-9212-fe8228a9d378.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Analysis of heavy Rainfall over Uttar Pradesh (India) during the 2019 Southwest Monsoon","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"Heavy rainfall, Summer Monsoon 2019, Meteorological analysis, Uttar 25 Pradesh","lastPublishedDoi":"10.21203/rs.3.rs-6517887/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6517887/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This paper aims to detect trend of heavy rainfall and the possible environmental conditions over the state of Uttar Pradesh, India during the southwest monsoon (SWM) 2019. 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Six episodes were then examined to gain a basic understanding of the dominant synoptic systems, as highlighted in the All India Weather Reports from the IMD. Meteorological analysis indicated that the key synoptic systems associated with these events included low pressure areas and Cyclonic Circulations. 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