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

Coxon, Gemma; Addor, Nans; Bloomfield, John P. ORCID: https://orcid.org/0000-0002-5730-1723; Freer, Jim; Fry, Matt ORCID: https://orcid.org/0000-0003-1142-4039; Hannaford, Jamie ORCID: https://orcid.org/0000-0002-5256-3310; Howden, Nicholas J.K.; Lane, Rosanna; Lewis, Melinda; Robinson, Emma L. ORCID: https://orcid.org/0000-0002-3746-4517; Wagener, Thorsten; Woods, Ross. 2020 CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain. Earth System Science Data, 12 (4). 2459-2483. 10.5194/essd-12-2459-2020

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Abstract/Summary

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 https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9) 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:	Publication - Article
Digital Object Identifier (DOI):	10.5194/essd-12-2459-2020
UKCEH and CEH Sections/Science Areas:	Hydro-climate Risks (Science Area 2017-) Water Resources (Science Area 2017-)
ISSN:	1866-3508
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
NORA Subject Terms:	Hydrology
Related URLs:	Dataset
Date made live:	30 Nov 2020 11:55 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/529046

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