Preprints
https://doi.org/10.5194/essd-2026-152
https://doi.org/10.5194/essd-2026-152
06 Mar 2026
 | 06 Mar 2026
Status: this preprint is currently under review for the journal ESSD.

UK-Flow15 Part 1: Development of a coherent national-scale 15-min flow dataset

Felipe Fileni, Hayley J. Fowler, Elizabeth Lewis, Matt Fry, Hollie Cooper, Ollie Swain, Fiona McLay, Gemma Coxon, Emma Bruce, Longzhi Yang, and David Archer

Abstract. High-resolution river flow data is essential for modelling flood dynamics and assessing hydrological change. In the UK, there are a wealth of sub-daily flow records that have been collected for more than 70 years. However, they remain scattered across multiple agencies and lack consistent quality assurance, limiting their use for large-sample and national-scale analysis. This paper presents UK-Flow15, a quality-controlled, 15-min, national scale, flow dataset for the UK, based on records from over 1,300 gauging stations and more than 1.8 billion observations. Data were collected via APIs and in conjunction with UK measuring authorities, then compiled into a single national dataset. Duplicate timestamps and inconsistencies in temporal resolution were systematically identified and resolved using a combination of automated filters and manual review. A comprehensive quality-control framework, specifically tailored for the dataset, was then applied to identify and document data anomalies; the full methodological development and evaluation of this framework are presented in the companion paper of this series. The final dataset is accompanied by transparent documentation of flagged issues and a suite of metadata files detailing data resolution, QC outcomes, and all processing decisions to support traceability and user interpretation. We demonstrate the dataset’s utility through a practical case study by systematic removal of unreliable data, interpolation of anomalous spikes, and manual verification of significant high-flow and truncation events. These steps illustrate how the dataset can be effectively curated for detailed hydrological research and operational applications. This publicly accessible, robust, and transparent dataset significantly enhances capabilities for sub-daily hydrological research in the UK, offering essential resources for improved flood prediction, management strategies, and policymaking.

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Felipe Fileni, Hayley J. Fowler, Elizabeth Lewis, Matt Fry, Hollie Cooper, Ollie Swain, Fiona McLay, Gemma Coxon, Emma Bruce, Longzhi Yang, and David Archer

Status: open (until 12 Apr 2026)

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Felipe Fileni, Hayley J. Fowler, Elizabeth Lewis, Matt Fry, Hollie Cooper, Ollie Swain, Fiona McLay, Gemma Coxon, Emma Bruce, Longzhi Yang, and David Archer

Data sets

Sub-hourly river flow data observations from 1369 river gauges in the UK, 1948-2023 (UK-Flow15) F. Fileni, H. J. Fowler, E. Lewis, M. Fry, H. Cooper, O. Swain, G. Coxon, F. McLay, E. Bruce, L. Yang, D. Archer https://doi.org/10.5285/211710ac-f01b-4b52-807f-373babb1c368

Model code and software

UK-Flow15-Usage_Notes F. Fileni https://github.com/felipef93/UK-Flow15-Usage_Notes

Felipe Fileni, Hayley J. Fowler, Elizabeth Lewis, Matt Fry, Hollie Cooper, Ollie Swain, Fiona McLay, Gemma Coxon, Emma Bruce, Longzhi Yang, and David Archer
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Latest update: 07 Mar 2026
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Short summary
River flow data recorded at 15-minute resolution has been collected across the UK for over 70 years, but it has been difficult to access and use consistently. We brought these records together into a single national dataset, checked them for errors, harmonised different records, and clearly documented any issues and suspect values. The result is a reliable and transparent resource that supports better flood forecasting, water management, and research on climate change impacts on river flows.
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