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Preprints
https://doi.org/10.5194/essd-2020-49
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2020-49
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: data description paper 14 Apr 2020

Submitted as: data description paper | 14 Apr 2020

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This preprint is currently under review for the journal ESSD.

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

Gemma Coxon1,2, Nans Addor3,a, John P. Bloomfield4, Jim Freer1,2, Matt Fry5, Jamie Hannaford5,6, Nicholas J. K. Howden2,7, Rosanna Lane1, Melinda Lewis4, Emma L. Robinson5, Thorsten Wagener2,7, and Ross Woods2,7 Gemma Coxon et al.
  • 1Geographical Sciences, University of Bristol, Bristol, UK
  • 2Cabot Institute, University of Bristol, Bristol, UK
  • 3Climatic Research Unit, Schoolof Environmental Sciences, University of East Anglia, Norwich, UK
  • 4British Geological Survey, Wallingford,Oxfordshire, UK
  • 5UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, UK
  • 6Irish Climate and Research Unit, Maynooth University, Ireland
  • 7Department of Civil Engineering, University of Bristol, Bristol, UK
  • anow at: Department of Geography, College of Environmental and Life Sciences, University of Exeter, UK

Abstract. 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 timeseries 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 timeseries covering 1970–2015 (a period including several hydrological extreme episodes) 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 are 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 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.

Gemma Coxon et al.

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Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain (CAMELS-GB) G. Coxon, N. Addor, J. P. Bloomfield, J. Freer, M. Fry, J. Hannaford, N. J. K. Howden, R. Lane, M. Lewis, E. L. Robinson, T. Wagener, R. Woods https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9

Gemma Coxon et al.

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Short summary
We present the first large-sample catchment hydrology dataset for Great Britain. The dataset collates river flows, catchment attributes and catchment boundaries for 671 catchments across Great Britain. We characterise the topography, climate, streamflow, land cover, soils, hydrogeology, human influence and discharge uncertainty of each catchment. The dataset is publicly available for the community to use in a wide range of environmental and modelling analyses.
We present the first large-sample catchment hydrology dataset for Great Britain. The dataset...
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