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Peer-reviewed

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

Gemma Coxon, Nans Addor, John P. Bloomfield, Jim Freer, Matthew Fry, Jamie Hannaford, Nicholas Howden, Rosanna Lane, Melinda Lewis, E. L. Robinson, Thorsten Wagener, Ross Woods

Earth system science data · 2020

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Summary

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 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 s

Source type
Peer-reviewed study
DOI
10.5194/essd-12-2459-2020
Catalogue ID
SNmokeh74t-h2xr5t
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