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Peer-reviewedCC BYEarth system science data

CAMELS-GB v2: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

  • Gemma Coxon1
  • Yanchen Zheng2,3
  • Rafael Barbedo4
  • Hollie Cooper4,5
  • Felipe Fileni6,5
  • Hayley Jane Fowler6,4
  • Matt Fry4,5
  • Amy Charlotte Green6,7
  • Tom Gribbin8,9
  • Helen Harfoot10,11,5
  • Elizabeth Lewis9
  • Germano Gondim Ribeiro Neto3
3 more authors
  • Xiaobin Qiu6
  • Saskia Salwey12,2
  • Doris Elise Wendt13,3
13 affiliations
  1. 1University of Bristol (Bristol, United Kingdom)
  2. 2School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, United Kingdom
  3. 3School of Geographical Sciences, University of Bristol, Bristol, United Kingdom
  4. 4UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, United Kingdom
  5. 5School of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom
  6. 6School of Engineering and Tyndall Centre for Climate Change Research, Newcastle University, Newcastle upon Tyne, United Kingdom
  7. 7Environment Agency, United Kingdom
  8. 8British Geological Survey, Keyworth, United Kingdom
  9. 9Civil Engineering and Management, University of Manchester, Manchester, United Kingdom
  10. 10Environment Agency, Romsey, Hampshire, United Kingdom
  11. 11School of Geography and Environmental Science, University of Southampton, Highfield, Southampton, United Kingdom
  12. 12Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
  13. 13British Geological Survey, Edinburgh, United Kingdom
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Abstract

Large-sample hydrological datasets containing data for tens to thousands of catchments are invaluable for hydrological process understanding and modelling. CAMELS (Catchment Attributes and MEteorology for Large-sample Studies) datasets provide hydro-meteorological timeseries, catchment attributes and catchment boundaries. Here, we present the second version of CAMELS-GB. CAMELS-GB v2 collates millions of observations from across Great Britain at hourly to monthly timescales, including quality-controlled daily river flows, catchment boundaries, and catchment characteristics from the UK National River Flow Archive. The new features include (1) extended daily hydro-meteorological timeseries from 1970–2022 including meteorological timeseries from new observed climate datasets, (2) new hourly precipitation, river flow and level timeseries, (3) new groundwater level timeseries and attributes for 55 groundwater wells, and (4) new catchment attributes characterising changing land cover, peak flows and human influences. These data are provided for 671 catchments across Great Britain spanning a diverse range of geophysical characteristics and human influences. CAMELS-GB v2 represents a step change for environmental and modelling analyses across Great Britain, particularly for the characterisation of sub-daily hydrological processes, and is made available as an open dataset (Coxon et al., 2025; https://doi.org/10.5285/9a46d428-958f-4ac1-86eb-94eee70c0955).

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Cite

BibTeXRIS
BibTeX
@article{coxon2026camelsgb,
  title = {{CAMELS-GB v2: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain}},
  author = {Gemma Coxon and Yanchen Zheng and Rafael Barbedo and Hollie Cooper and Felipe Fileni and Hayley Jane Fowler and Matt Fry and Amy Charlotte Green and Tom Gribbin and Helen Harfoot and Elizabeth Lewis and Germano Gondim Ribeiro Neto and Xiaobin Qiu and Saskia Salwey and Doris Elise Wendt},
  journal = {Earth system science data},
  year = {2026},
  month = jun,
  doi = {10.5194/essd-18-4345-2026},
  url = {https://doi.org/10.5194/essd-18-4345-2026},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - CAMELS-GB v2: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain
AU  - Gemma Coxon
AU  - Yanchen Zheng
AU  - Rafael Barbedo
AU  - Hollie Cooper
AU  - Felipe Fileni
AU  - Hayley Jane Fowler
AU  - Matt Fry
AU  - Amy Charlotte Green
AU  - Tom Gribbin
AU  - Helen Harfoot
AU  - Elizabeth Lewis
AU  - Germano Gondim Ribeiro Neto
AU  - Xiaobin Qiu
AU  - Saskia Salwey
AU  - Doris Elise Wendt
PY  - 2026
DA  - 2026/06/26
JO  - Earth system science data
DO  - 10.5194/essd-18-4345-2026
UR  - https://doi.org/10.5194/essd-18-4345-2026
AB  - Large-sample hydrological datasets containing data for tens to thousands of catchments are invaluable for hydrological process understanding and modelling. CAMELS (Catchment Attributes and MEteorology for Large-sample Studies) datasets provide hydro-meteorological timeseries, catchment attributes and catchment boundaries. Here, we present the second version of CAMELS-GB. CAMELS-GB v2 collates millions of observations from across Great Britain at hourly to monthly timescales, including quality-controlled daily river flows, catchment boundaries, and catchment characteristics from the UK National River Flow Archive. The new features include (1) extended daily hydro-meteorological timeseries from 1970–2022 including meteorological timeseries from new observed climate datasets, (2) new hourly precipitation, river flow and level timeseries, (3) new groundwater level timeseries and attributes for 55 groundwater wells, and (4) new catchment attributes characterising changing land cover, peak flows and human influences. These data are provided for 671 catchments across Great Britain spanning a diverse range of geophysical characteristics and human influences. CAMELS-GB v2 represents a step change for environmental and modelling analyses across Great Britain, particularly for the characterisation of sub-daily hydrological processes, and is made available as an open dataset (Coxon et al., 2025; https://doi.org/10.5285/9a46d428-958f-4ac1-86eb-94eee70c0955).
SN  - 1866-3508
SN  - 1866-3516
ER  -