8344e4f3-d2ea-44f5-8afa-86d2987543a9 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:23:27 UK GEMINI 2.3 OSGB 1936 / British National Grid Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain (CAMELS-GB) 2020-02-20 publication https://catalogue.ceh.ac.uk/id/8344e4f3-d2ea-44f5-8afa-86d2987543a9 10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9 doi: Coxon, G., Addor, N., Bloomfield, J.P., Freer, J., Fry, M., Hannaford, J., Howden, N.J.K., Lane, R., Lewis, M., Robinson, E.L., Wagener, T., Woods, R. (2020). Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain (CAMELS-GB). NERC Environmental Information Data Centre 10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9 This dataset provides hydro-meteorological timeseries and landscape attributes for 671 catchments across Great Britain. It 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. Daily timeseries for the time period 1st October 1970 to the 30th September 2015 are provided for a range of hydro-meteorological data (including rainfall, potential evapotranspiration, temperature, radiation, humidity and flow). A comprehensive set of catchment attributes are quantified describing a range of catchment characteristics including topography, climate, hydrology, land cover, soils, hydrogeology, human influences and discharge uncertainty. This dataset is intended for the community as a freely available, easily accessible dataset to use in a wide range of environmental data and modelling analyses. A research paper (Coxon et al, CAMELS-GB: Hydrometeorological time series and landscape attributes for 671 catchments in Great Britain) describing the dataset in detail will be made available in Earth System Science Data (https://www.earth-system-science-data.net/). Full details about this dataset can be found at https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9 Coxon, G. University of Bristol gemma.coxon@bristol.ac.uk https://orcid.org/0000-0002-8837-460X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Coxon, G. University of Bristol gemma.coxon@bristol.ac.uk https://orcid.org/0000-0002-8837-460X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Addor, N. University of Exeter n.addor@exeter.ac.uk https://orcid.org/0000-0002-6057-3930 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Bloomfield, J.P. British Geological Survey jbp@bgs.ac.uk https://orcid.org/0000-0002-5730-1723 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Freer, J. University of Bristol jim.freer@bristol.ac.uk https://orcid.org/0000-0001-6388-7890 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Fry, M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-1142-4039 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Hannaford, J. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5256-3310 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Howden, N.J.K. University of Bristol nicholas.howden@bristol.ac.uk https://orcid.org/0000-0002-0422-0524 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Lane, R. University of Bristol r.a.lane@bristol.ac.uk https://orcid.org/0000-0003-4176-9214 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Lewis, M. British Geological Survey mlewis@bgs.ac.uk author Robinson, E.L. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-3746-4517 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Wagener, T. University of Bristol thorsten.wagener@bristol.ac.uk https://orcid.org/0000-0003-3881-5849 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Woods, R. University of Bristol ross.woods@bristol.ac.uk https://orcid.org/0000-0002-5732-5979 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher notPlanned Hydrography theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication hydrogeology land cover soil hydrology climate GEMET - Concepts, version 4.1.3 2019-01-28 creation Hydrology human influence topography otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions © UK Centre for Ecology & Hydrology otherRestrictions © University of Bristol otherRestrictions Contains Environment Agency information © Environment Agency and/or database right otherRestrictions Derived from UK bedrock hydrogeological mapping and UK superficial productivity mapping, BGS © UKRI otherRestrictions If you reuse this data, you should cite: Coxon, G., Addor, N., Bloomfield, J.P., Freer, J., Fry, M., Hannaford, J., Howden, N.J.K., Lane, R., Lewis, M., Robinson, E.L., Wagener, T., Woods, R. (2020). Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain (CAMELS-GB). NERC Environmental Information Data Centre https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9 textTable vector English utf8 inlandWaters 1970-10-01 2015-09-30 -8.648 1.768 49.864 60.861 Comma-separated values (CSV) Shapefile NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/8344e4f3-d2ea-44f5-8afa-86d2987543a9 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/8344e4f3-d2ea-44f5-8afa-86d2987543a9.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 CAMELS-GB provides hydro-meteorological timeseries and catchment attributes for 671 catchments. Catchment meteorological timeseries are derived from CEH-GEAR, CHESS-PE and CHESS-MET. Catchment flow timeseries and boundaries are sourced from the UK National River Flow Archive. Many of the catchment attributes are sourced either from the National River Flow Archive or from the catchment meteorological timeseries produced in CAMELS-GB. Land cover catchment attributes are derived from the GB 1km percentage target class, Land Cover Map 2015 (Rowland et al, 2017; https://doi.org/10.5285/ee9ab43d-a4fe-4e73-afd5-cd4fc4c82556). Soil catchment attributes are derived from the European Soil Database Derived Data product (Hiederer, 2013a, 2013b), and the modelled depth to bedrock global product (Pelletier et al., 2016). Hydrogeology catchment attributes are derived from the British Geological Survey hydrogeology map (BGS, 2019) and superficial deposits map. Discharge uncertainty estimates for each catchment are derived using the method described in Coxon et al (2015). Human influence catchment attributes were derived from datasets describing ground/surface water abstractions and discharges sourced from the Environment Agency and from datasets describing reservoir capacity and use from the UK reservoir inventory (Durant and Counsell, 2018). Where possible we have provided quantitative estimates of uncertainty, including timeseries for two potential evapo-transpiration products, percentiles of soil catchment attributes and the first set of national discharge uncertainty estimates. For all datasets we have highlighted the key uncertainties and limitations of the underlying source data products and any methods used to derive the catchment attributes. We hope to raise awareness and encourage users of the dataset to consider these uncertainties in their analyses. See supporting information for more details.