{
  "abstract": "Large-sample hydrological datasets containing data for tens to thousands of catchments are invaluable for hydrological process understanding and modelling. CAMELS (Catchment Attributes and MEteorology for Large-sample Studies) datasets provide hydro-meteorological timeseries, catchment attributes and catchment boundaries. Here, we present the second version of CAMELS-GB. CAMELS-GB v2 collates millions of observations from across Great Britain at hourly to monthly timescales, including quality-controlled daily river flows, catchment boundaries, and catchment characteristics from the UK National River Flow Archive. The new features include (1) extended daily hydro-meteorological timeseries from 1970–2022 including meteorological timeseries from new observed climate datasets, (2) new hourly precipitation, river flow and level timeseries, (3) new groundwater level timeseries and attributes for 55 groundwater wells, and (4) new catchment attributes characterising changing land cover, peak flows and human influences. These data are provided for 671 catchments across Great Britain spanning a diverse range of geophysical characteristics and human influences. CAMELS-GB v2 represents a step change for environmental and modelling analyses across Great Britain, particularly for the characterisation of sub-daily hydrological processes, and is made available as an open dataset (Coxon et al., 2025; https://doi.org/10.5285/9a46d428-958f-4ac1-86eb-94eee70c0955).",
  "abstract_shown": true,
  "affiliations": [
    "University of Bristol (Bristol, United Kingdom)",
    "School of Civil, Aerospace and Design Engineering, University of Bristol, Bristol, United Kingdom",
    "School of Geographical Sciences, University of Bristol, Bristol, United Kingdom",
    "UK Centre for Ecology & Hydrology, Maclean Building, Crowmarsh Gifford, Wallingford, United Kingdom",
    "School of Engineering, Newcastle University, Newcastle upon Tyne, United Kingdom",
    "School of Engineering and Tyndall Centre for Climate Change Research, Newcastle University, Newcastle upon Tyne, United Kingdom",
    "Environment Agency, United Kingdom",
    "British Geological Survey, Keyworth, United Kingdom",
    "Civil Engineering and Management, University of Manchester, Manchester, United Kingdom",
    "Environment Agency, Romsey, Hampshire, United Kingdom",
    "School of Geography and Environmental Science, University of Southampton, Highfield, Southampton, United Kingdom",
    "Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands",
    "British Geological Survey, Edinburgh, United Kingdom"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 15,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Gemma Coxon",
      "orcid": "0000-0002-8837-460X"
    },
    {
      "affs": [
        1,
        2
      ],
      "name": "Yanchen Zheng",
      "orcid": "0000-0002-2212-9134"
    },
    {
      "affs": [
        3
      ],
      "name": "Rafael Barbedo",
      "orcid": "0000-0002-3910-9244"
    },
    {
      "affs": [
        3,
        4
      ],
      "name": "Hollie Cooper",
      "orcid": "0000-0002-1382-3407"
    },
    {
      "affs": [
        5,
        4
      ],
      "name": "Felipe Fileni",
      "orcid": "0000-0001-7260-1946"
    },
    {
      "affs": [
        5,
        3
      ],
      "name": "Hayley Jane Fowler",
      "orcid": "0000-0001-8848-3606"
    },
    {
      "affs": [
        3,
        4
      ],
      "name": "Matt Fry",
      "orcid": "0000-0003-1142-4039"
    },
    {
      "affs": [
        5,
        6
      ],
      "name": "Amy Charlotte Green",
      "orcid": "0000-0002-0306-6457"
    },
    {
      "affs": [
        7,
        8
      ],
      "name": "Tom Gribbin"
    },
    {
      "affs": [
        9,
        10,
        4
      ],
      "name": "Helen Harfoot"
    },
    {
      "affs": [
        8
      ],
      "name": "Elizabeth Lewis",
      "orcid": "0000-0002-7471-9988"
    },
    {
      "affs": [
        2
      ],
      "name": "Germano Gondim Ribeiro Neto",
      "orcid": "0000-0002-0823-0885"
    },
    {
      "affs": [
        5
      ],
      "name": "Xiaobin Qiu",
      "orcid": "0000-0003-4520-0076"
    },
    {
      "affs": [
        11,
        1
      ],
      "name": "Saskia Salwey",
      "orcid": "0000-0002-2100-3142"
    },
    {
      "affs": [
        12,
        2
      ],
      "name": "Doris Elise Wendt",
      "orcid": "0000-0003-2315-7871"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bzmt005kj5dy2.bib",
  "cited_by": 8,
  "doi": "10.5194/essd-18-4345-2026",
  "fulltext_url": null,
  "id": "bzmt005kj5dy2",
  "issns": [
    "1866-3508",
    "1866-3516"
  ],
  "landing_url": "https://doi.org/10.5194/essd-18-4345-2026",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2312|Hydrology and Watershed Management Studies"
    ]
  ],
  "openalex": "W4408440012",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-06-26",
  "publisher": "Copernicus Publications",
  "ris": "https://research.draconitic.com/paper/bzmt005kj5dy2.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:26:58Z",
      "native_id": "W4408440012",
      "source": "openalex",
      "url": "https://doi.org/10.5194/essd-18-4345-2026"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "openalex:2312|Hydrology and Watershed Management Studies",
      "subfield": "hydrology-soils"
    }
  ],
  "title": "CAMELS-GB v2: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain",
  "title_text": "CAMELS-GB v2: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain",
  "type": "peer-reviewed",
  "updated_at": "2026-11-06T13:20:42Z",
  "url": "https://research.draconitic.com/paper/bzmt005kj5dy2",
  "venue": "Earth system science data",
  "versions": []
}