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

Lookup NU author(s): Felipe Fileni, Professor Hayley Fowler, Dr Xiaobin QiuORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2026 Gemma Coxon et al.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) hourly precipitation, river flow and level timeseries, (3) 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).


Publication metadata

Author(s): Coxon G, Zheng Y, Barbedo R, Cooper H, Fileni F, Fowler HJ, Fry M, Green A, Gribbin T, Harfoot H, Lewis E, Neto GGR, Qiu X, Salwey S, Wendt DE

Publication type: Article

Publication status: Published

Journal: Earth System Science Data

Year: 2026

Volume: 18

Issue: 6

Pages: 4345-4371

Online publication date: 26/06/2026

Acceptance date: 02/06/2026

Date deposited: 13/07/2026

ISSN (print): 1866-3508

ISSN (electronic): 1866-3516

Publisher: Copernicus Publications

URL: https://doi.org/10.5194/essd-18-4345-2026

DOI: 10.5194/essd-18-4345-2026

Data Access Statement: The CAMELS-GB v2 dataset is available under an Open Government License via the UK Centre for Ecology & Hydrology Environmental Information Data Centre (Coxon et al., 2025; https://doi.org/10.5285/9a46d428-958f-4ac186eb-94eee70c0955). The data contain catchment bound aries, hydro-meteorological and groundwater time series (at hourly, daily and monthly time-scales), catchment attributes and groundwater well attributes as described above. The data format (including the file naming conventions) is described in the supporting documentation available on the UK Centre for ecology & Hydrology Environmental Information Data Centre


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Funding

Funder referenceFunder name
MRC. MR/V022857/1
NE/S007512/1Natural Environment Research Council (NERC)
NERC-UKRI
NE/X018865/1
Science and Technology Facilities Coun cil (grant no. ST/Y003713/1)

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