From noise to signal: a data-driven framework for identifying hot moments in water quality timeseries
Year: 2026
Type: article
Abstract: From Noise to Signal: A Data-Driven Framework for Identifying Hot Moments in Water Quality Timeseries, Noriega Giménez, Joaquina, Rowan, Thomas S. L., Bowes, Michael John, Buytaert, Wouter, Coxon, Gemma, Gooddy, Daren, Hannah, David M., Howard, Ben Christopher, Howden, Nicholas, Johnes, Penny, Kelleher, Liam, Khamis, Kieran, Krause, Stefan, Lapworth, Daniel J, Lynch, Iseult, Paschalis, Athanasios, Read, Daniel S., Schneidewind, Uwe, Singh, Jaswant, Sorensen, James PR, Comer-Warner, Sophie A, Watts, Glenn, Woods, Ross, Zheng, Yanchen, Packman, Aaron
Source: Environmental Research Letters
Authors: Joaquina Noriega Giménez, Thomas S L Rowan, Mike Bowes, Wouter Buytaert, Gemma Coxon, Daren Gooddy, David M Hannah, Ben C Howard, Nicholas J K Howden, Penny J Johnes, Liam Kelleher, Kieran Khamis, Stefan Krause, Dan J Lapworth, Iseult Lynch, Athanasios Paschalis, Daniel S Read, Uwe Schneidewind, Jaswant Singh, James P R Sorensen, Sophie Comer-Warner, Glenn Watts, Ross Woods, Yanchen Zheng, Aaron I Packman
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,045
OpenAlex ID: W7222493368