2020/10/12 by Gemma Coxon, Nans Addor, John P. Bloomfield +9 · 2 citations
Environmental Science · #Hydrology and Watershed Management Studies #Flood Risk Assessment and Management #Hydrology and Drought Analysis
paper · pdf · doi:10.5194/essd-12-2459-2020
openalex publication_date 2020/10/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Abstract. We present the first large-sample catchment hydrology dataset for GreatBritain, CAMELS-GB (Catchment Attributes and MEteorology for Large-sampleStudies). CAMELS-GB collates river flows, catchment attributes and catchmentboundaries from the UK National River Flow Archive together with a suite ofnew meteorological time series and catchment attributes. These data areprovided for 671 catchments that cover a wide range of climatic,hydrological, landscape, and human management characteristics across GreatBritain. Daily time series covering 1970–2015 (a period including severalhydrological extreme events) are provided for a range ofhydro-meteorological variables including rainfall, potentialevapotranspiration, temperature, radiation, humidity, and river flow. Acomprehensive set of catchment attributes is quantified includingtopography, climate, hydrology, land cover, soils, and hydrogeology.Importantly, we also derive human management attributes (includingattributes summarising abstractions, returns, and reservoir capacity in eachcatchment), as well as attributes describing the quality of the flow dataincluding the first set of discharge uncertainty estimates (provided atmultiple flow quantiles) for Great Britain. CAMELS-GB (Coxon et al., 2020;available at https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9)is intended for the community as a publicly available, easily accessibledataset to use in a wide range of environmental and modelling analyses.