{"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/development-and-analysis-of-a-bayesian-water","title":"Development and analysis of a Bayesian water balance model for large lake systems","arxiv_id":"1710.10161","date":"2017-10-26","proceeding":null,"authors":["Joeseph P. Smith","Andrew D. Gronewold"],"abstract":"Water balance models (WBMs) are often employed to understand regional\nhydrologic cycles over various time scales. Most WBMs, however, are\nphysically-based, and few employ state-of-the-art statistical methods to\nreconcile independent input measurement uncertainty and bias. Further, few WBMs\nexist for large lakes, and most large lake WBMs perform additive accounting,\nwith minimal consideration towards input data uncertainty. Here, we introduce a\nframework for improving a previously developed large lake statistical water\nbalance model (L2SWBM). Focusing on the water balances of Lakes Superior and\nMichigan-Huron, we demonstrate our new analytical framework, identifying\nL2SWBMs from 26 alternatives that adequately close the water balance of the\nlakes with satisfactory computation times compared with the prototype model. We\nexpect our new framework will be used to develop water balance models for other\nlakes around the world.","url_abs":"http://arxiv.org/abs/1710.10161v4","url_pdf":"http://arxiv.org/pdf/1710.10161v4.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":"abstracts"},"code_links":[{"paper_slug":"development-and-analysis-of-a-bayesian-water","repo_url":"https://github.com/NOAA-GLERL/L2SWBM","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}