MURAL - Maynooth University Research Archive Library

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

    Coxon, Gemma and Addor, Nans and Bloomfield, John P. and Freer, Jim and Fry, Matt and Hannaford, Jamie and Howden, Nicholas J. K. and Lane, Rosanna and Lewis, Melinda and Robinson, Emma L. and Wagener, Thorsten and Woods, Ross (2020) CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain. Earth System Science Data, 12 (4). pp. 2459-2483. ISSN 1866-3516

    Download (501kB) | Preview
    Official URL:

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    We present the first large-sample catchment hydrology dataset for Great Britain, CAMELS-GB (Catchment Attributes and MEteorology for Large-sample Studies). CAMELS-GB collates river flows, catchment attributes and catchment boundaries from the UK National River Flow Archive together with a suite of new meteorological time series and catchment attributes. These data are provided for 671 catchments that cover a wide range of climatic, hydrological, landscape, and human management characteristics across Great Britain. Daily time series covering 1970–2015 (a period including several hydrological extreme events) are provided for a range of hydro-meteorological variables including rainfall, potential evapotranspiration, temperature, radiation, humidity, and river flow. A comprehensive set of catchment attributes is quantified including topography, climate, hydrology, land cover, soils, and hydrogeology. Importantly, we also derive human management attributes (including attributes summarising abstractions, returns, and reservoir capacity in each catchment), as well as attributes describing the quality of the flow data including the first set of discharge uncertainty estimates (provided at multiple flow quantiles) for Great Britain. CAMELS-GB (Coxon et al., 2020; available at is intended for the community as a publicly available, easily accessible dataset to use in a wide range of environmental and modelling analyses.

    Item Type: Article
    Additional Information: This research has been supported by the Natural Environment Research Council (grant nos. NE/L010399/1, NE/1002200/1, NE/S017380/1, and NE/R016429/1), the Engineering and Physical Sciences Research Council (grant no. EP/L016214/1), and the Swiss National Science Foundation (grant no. P400P2_180791).
    Keywords: Catchment Attributes and MEteorology for Large-sample Studies; CAMELS-GB; Great Britain; river flows; catchment attributes;
    Academic Unit: Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS
    Item ID: 17854
    Identification Number:
    Depositing User: Corinne Voces
    Date Deposited: 17 Nov 2023 09:03
    Journal or Publication Title: Earth System Science Data
    Publisher: Copernicus Publications
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page


    Downloads per month over past year

    Origin of downloads