Parameter diagnosis for the plasma of artificially triggered lightning based on collisional-radiative model.

Parameter diagnosis for the plasma of artificially triggered lightning based on collisional-radiative model. | 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 Parameter diagnosis for the plasma of artificially triggered lightning based on collisional-radiative model. Yiqi Wang, Xiaozhi Shen, Huaming Zhang, Qi Qi, Cuicui Sang, Yongliang Zhang, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8342809/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 7 You are reading this latest preprint version Abstract Based on the collisional-radiative model, the energy levels, transition rates, andcollision excitation rate coefficient of N II ions were calculated by implementingthe Flexible Atomic Code. The line intensity of characteristic spectral lines for NII ions was simulated, which shows that the variations of electron temperature andelectron density can affect the simulation of line intensity. In addition, the plasmaspectra for an artificially triggered lightning, derived from Guangdong, China,were adopted to be simulated. It is found that when the simulated spectrum is wellmatched with the experimental one, its plasma environment becomes as 32,000 Kand 1017 cm−3, which is called Visual-Spectra-Matching (VSM) method. Moreover, through adopting the Multi-Spectra-Ratio-Matching (MSRM) method, theresults are diagnosed as 32,000±103 K and (1.38±0.6)×1017cm−3. Good agreements can be found in the comparisons among VSM, MSRM, and other measurements. Collision-Radiative model Artificially triggered lightning Visual-Spectra-Matching (VSM) method Multi-Spectra-Ratio-Matching (MSRM) method Electron temperature Electron density Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 18 Feb, 2026 Reviews received at journal 20 Jan, 2026 Reviewers agreed at journal 15 Jan, 2026 Reviewers invited by journal 15 Jan, 2026 Editor assigned by journal 24 Dec, 2025 Submission checks completed at journal 23 Dec, 2025 First submitted to journal 12 Dec, 2025 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-8342809","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":575293349,"identity":"15c0dcbe-b77f-4048-b198-27cb41650f39","order_by":0,"name":"Yiqi Wang","email":"","orcid":"","institution":"Tianjin Normal University","correspondingAuthor":false,"prefix":"","firstName":"Yiqi","middleName":"","lastName":"Wang","suffix":""},{"id":575293350,"identity":"1c8308e2-dcfc-4ce9-a2bf-7a4b8838b5e6","order_by":1,"name":"Xiaozhi 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