Re-Emission: A free open-source software for estimating, reporting, and visualizing green- house gas emissions from reservoirs

Re-Emission: A free open-source software for estimating, reporting, and visualizing greenhouse gas emissions from reservoirs | 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 Re-Emission: A free open-source software for estimating, reporting, and visualizing greenhouse gas emissions from reservoirs Tomasz Janus, Christopher Barry, Xingxing Zhang, Jaise Kuriakose This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7252618/v2 This work is licensed under a CC BY 4.0 License Status: Posted Version 2 posted You are reading this latest preprint version Show more versions Abstract Reservoirs are significant contributors to anthropogenic greenhouse gas emissions, whose climate impacts require appropriate assessment and reporting. Existing emission modelling tools often demand extensive input data and manual processing, limiting their application to small sets of reservoirs. Moreover, no frameworks currently enable experimentation with new emission models and custom configurations. Here, we present Re-Emission – a free, open-source Python library and command-line tool for streamlined reservoir-emission modelling, including batch processing of multiple reservoirs, custom configurations, and integration with third-party libraries. Its utility is demonstrated through two case studies involving about 250 reservoirs. Re-Emission integrates with a catchment-analysis tool to automate spatially explicit emission assessments and can be embedded in multi-domain frameworks for water-resource and energy planning, addressing a key barrier to the wider adoption of reservoir emission models. Environmental Engineering Atmospheric Sciences Software Engineering automated assessments greenhouse gas emission modelling library free open source Full Text Additional Declarations The authors declare no competing interests. Supplementary Files supplementarymaterials.pdf Cite Share Download PDF Status: Posted Version 2 posted You are reading this latest preprint version Show more versions 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-7252618","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":548320887,"identity":"d2bfbc11-5f73-45bb-a00b-ab48d66aaf5c","order_by":0,"name":"Tomasz 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