From noise to signal: a data-driven framework for identifying hot moments in water quality timeseries

Noriega Giménez, Joaquina ORCID: https://orcid.org/0009-0009-9206-3271; Rowan, Thomas S.L.; Bowes, Michael John ORCID: https://orcid.org/0000-0002-0673-1934; Buytaert, Wouter ORCID: https://orcid.org/0000-0001-6994-4454; Coxon, Gemma ORCID: https://orcid.org/0000-0002-8837-460X; Gooddy, Daren ORCID: https://orcid.org/0000-0002-6015-1332; Hannah, David M. ORCID: https://orcid.org/0000-0003-1714-1240; Howard, Ben Christopher ORCID: https://orcid.org/0000-0003-4010-8131; Howden, Nicholas; Johnes, Penny; Kelleher, Liam; Khamis, Kieran; Krause, Stefan; Lapworth, Dan J. ORCID: https://orcid.org/0000-0001-7838-7960; Lynch, Iseult; Paschalis, Athanasios ORCID: https://orcid.org/0000-0003-4833-9962; Read, Daniel S. ORCID: https://orcid.org/0000-0001-8546-5154; Schneidewind, Uwe ORCID: https://orcid.org/0000-0002-4523-7429; Singh, Jaswant ORCID: https://orcid.org/0009-0008-7138-7157; Sorensen, James P.R.; Comer-Warner, Sophie A. ORCID: https://orcid.org/0000-0003-1260-3151; Watts, Glenn ORCID: https://orcid.org/0009-0005-6789-8550; Woods, Ross ORCID: https://orcid.org/0000-0002-5732-5979; Zheng, Yanchen; Packman, Aaron ORCID: https://orcid.org/0000-0003-3172-4549. 2026 From noise to signal: a data-driven framework for identifying hot moments in water quality timeseries. Environmental Research Letters, 21 (20), 201003. 10.1088/1748-9326/aeb55b