{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/scattering-graph-method-for-3d-radiative","title":"Scattering graph method for 3D radiative transfer","arxiv_id":"2503.16037","date":"2025-03-20","proceeding":null,"authors":["Antti Mikkonen","Anssi Koskinen","Johanna Tamminen","Hannakaisa Lindqvist"],"abstract":"A novel method for monochromatic scalar 3D radiative transfer, designed primarily for modeling remote sensing imaging, is presented. For simulating an observation of an imaging satellite instrument, the method uses a heuristic scattering coupling function to model the inter-pixel scattering of radiation, which is represented with a graph. The GPU-capable code implementation of the method, TURSCA, was validated against two established 3D RT models, Siro and SHDOM with relative agreement at 3% and 6%, respectively. The capabilities of TURSCA in modeling a satellite observation of an emission plume are examined. The presented method opens up new avenues of research, especially in satellite-based remote sensing of atmospheres.","url_abs":"https://arxiv.org/abs/2503.16037v1","url_pdf":"https://arxiv.org/pdf/2503.16037v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"scattering-graph-method-for-3d-radiative","repo_url":"https://github.com/amikko/tursca","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}