Impact of parameterization schemes on temperature simulation over China using the variable-resolution MPAS-A

Impact of parameterization schemes on temperature simulation over China using the variable-resolution MPAS-A | 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 Impact of parameterization schemes on temperature simulation over China using the variable-resolution MPAS-A Rui BAI, Qizhen Sun This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4348458/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 In this study, we investigate how different physical parameterizations impact the simulation of surface (2 m) air temperature over China using the Model for Prediction Across Scales-Atmosphere (MPAS-A) with a customized 92-25 km variable resolution. All simulations use ERA-Interim reanalysis data as the initial conditions for three selected typical years (1987, 1998 and 2011), and seven sub-regions is divided to assess the performance of different parameterization schemes on varying climate types. We performed 12 simulations using combinations of two shortwave–longwave (SW-LW) radiation, three cumulus convective (CUM) and two microphysics (MP) schemes. Model performance is evaluated using CN05 observation. The simulation shows significant sensitivity to SW-LW schemes, with the large difference of RSME scores. And RRTMG exhibits lower bias over more than half of the sub-regions. The influence of CUM schemes is weaker than that of SW-LW schemes on surface air temperature simulation. GF shows best model BIAS over more sub-regions. Followed is KF. For the MP schemes, the difference between the simulation results of Thompson and WSM6 is not significant for the same time and sub-region. Further we analysis the influence of different parameterization combinations. RRTMG_Thompson_NTDK combination performs best relative to other combinations under all conditions, with higher spatial correlation coefficient, lower root-mean-square error and bias. The annual cycles of surface air temperature could also be reasonably reproduced. Our results indicate a better parametrization scheme configuration, evaluate the simulation performance of the MPAS model for surface air temperature over China, and provide a meaningful reference for future researches. evaluation high-resolution simulation MPAS model surface air temperature Full Text 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. 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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-4348458","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":299001678,"identity":"49bd8311-872b-421e-aa53-70d7ba5b9caf","order_by":0,"name":"Rui BAI","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA00lEQVRIiWNgGAWjYBACAwbGBiApIcfP3nzgwIcK4rVYGEv2HEs8OOMMUVrAoCJxwwwf48O8LURoMWc/3PaZp0CCcYMEz4cDvA0M8vxiB/BrsexJbJ7NYyDBbC7du+GA5A4Gw5mzEwg47EBiMzNQC5vlnLMbDhieYUgwuE1Iy/mHYC08BjdyHhxIbCNGyw2ILRJALQwHDhKjxXLGw2bGOQYSBsBANjjYcEaCsF/M+dMfM7z5U1ffz978+POfCht5fmkCWtCBBGnKR8EoGAWjYBRgBwALakd6xbeFTwAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0001-5479-3307","institution":"National Marine Environmental Forecasting Center","correspondingAuthor":true,"prefix":"","firstName":"Rui","middleName":"","lastName":"BAI","suffix":""},{"id":299001679,"identity":"9883e0cc-89b5-4003-9067-2bf75f311fba","order_by":1,"name":"Qizhen Sun","email":"","orcid":"https://orcid.org/0009-0005-8443-2779","institution":"National Marine Environmental Forecasting Center","correspondingAuthor":false,"prefix":"","firstName":"Qizhen","middleName":"","lastName":"Sun","suffix":""}],"badges":[],"createdAt":"2024-04-30 10:49:32","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4348458/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4348458/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":59894815,"identity":"7330b22f-a298-4aa7-86cd-5c6f50863320","added_by":"auto","created_at":"2024-07-09 03:42:03","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3022912,"visible":true,"origin":"","legend":"","description":"","filename":"RuiBaiManuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4348458/v1_covered_786b23e7-a79e-43e4-b86a-c1288b0b4ca7.pdf"}],"financialInterests":"","formattedTitle":"Impact of parameterization schemes on temperature simulation over China using the variable-resolution MPAS-A","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":"evaluation, high-resolution simulation, MPAS model, surface air temperature","lastPublishedDoi":"10.21203/rs.3.rs-4348458/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4348458/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"In this study, we investigate how different physical parameterizations impact the simulation of surface (2 m) air temperature over China using the Model for Prediction Across Scales-Atmosphere (MPAS-A) with a customized 92-25 km variable resolution. 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Further we analysis the influence of different parameterization combinations. RRTMG_Thompson_NTDK combination performs best relative to other combinations under all conditions, with higher spatial correlation coefficient, lower root-mean-square error and bias. The annual cycles of surface air temperature could also be reasonably reproduced. 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