Coxon et al. (2026) CAMELS-GB v2: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

Identification

• Journal: Earth system science data
• Year: 2026
• Date: 2026-06-26
• Authors: Gemma Coxon, Yanchen Zheng, Rafael Barbedo, Felipe Fileni, Hayley Jane Fowler, Amy Charlotte Green, Helen Harfoot, Elizabeth Lewis, Xiaobin Qiu, Saskia Salwey, Doris Elise Wendt
• DOI: 10.5194/essd-18-4345-2026

Research Groups

• University of Bristol, School of Geographical Sciences
• UK Centre for Ecology & Hydrology
• Newcastle University, School of Engineering and Tyndall Centre for Climate Change Research
• British Geological Survey
• Environment Agency
• Natural Resources Wales
• Scottish Environmental Protection Agency
• Utrecht University, Department of Physical Geography

Short Summary

This paper presents CAMELS-GB v2, a large-sample hydrology dataset containing hydrometeorological timeseries and landscape attributes for 671 catchments in Great Britain. The new version includes hourly hydro-meteorological timeseries, groundwater level timeseries, and dynamic catchment attributes characterising changes in land cover.

Objective

• To provide a comprehensive and open-access dataset for hydrological process understanding and modelling across Great Britain.
• To address the limitations of the previous CAMELS-GB v1 dataset by including sub-daily hydro-meteorological timeseries and groundwater level data.

Study Configuration

• Spatial Scale: National, covering 671 catchments in Great Britain.
• Temporal Scale: Hourly to monthly timescales, with daily time series available from 1970-2022 and hourly time series available from 1990-2022.

Methodology and Data

• Models used: None specified.
• Data sources:
  • UK Centre for Ecology & Hydrology Gridded Estimates of Areal Rainfall (CEH-GEAR) dataset
  • HadUK-Grid dataset
  • Climate Hydrology and Ecology research Support System (CHESS) dataset
  • Gauge-Radar Precipitation Dataset (GRaD-GB(1H1K))
  • UK National River Flow Archive (NRFA)
  • Environment Agency, Natural Resources Wales, and Scottish Environmental Protection Agency datasets

Main Results

• CAMELS-GB v2 provides hourly hydro-meteorological timeseries for 671 catchments, including rainfall, river flow, and level data.
• The dataset includes groundwater level timeseries for 55 boreholes.
• Dynamic catchment attributes characterising changes in land cover are also included.

Contributions

• This paper addresses the limitations of previous large-sample hydrology datasets by providing sub-daily hydro-meteorological timeseries and groundwater level data.
• CAMELS-GB v2 is a valuable resource for hydrological process understanding and modelling across Great Britain.

Funding

• This research was funded by [insert funding agencies or projects, e.g. UK Research Councils, European Union Horizon 2020 program].

Citation

@article{Coxon2026CAMELSGB,
  author = {Coxon, Gemma and Zheng, Yanchen and Barbedo, Rafael and Cooper, Hollie and Fileni, Felipe and Fowler, Hayley Jane and Fry, Matt and Green, Amy  Charlotte and Gribbin, Tom and Harfoot, Helen and Lewis, Elizabeth and Neto, Germano Gondim Ribeiro and Qiu, Xiaobin and Salwey, Saskia and Wendt, Doris Elise},
  title = {CAMELS-GB v2: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain},
  journal = {Earth system science data},
  year = {2026},
  doi = {10.5194/essd-18-4345-2026},
  url = {https://doi.org/10.5194/essd-18-4345-2026}
}