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CAMELS-GB v2: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain
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DOI：10.5194/essd-18-4345-2026.png)
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Abstract
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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) 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).
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