CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain
CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain
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DOI：
10.5194/essd-2020-49
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发表时间：
2020-04
影响因子：
11.4
通讯作者：
G. Coxon;N. Addor;J. Bloomfield;J. Freer;M. Fry;J. Hannaford;N. Howden;Rosanna A. Lane;M. Lewis;E. Robinson;T. Wagener;R. Woods
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文献类型：
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作者：
G. Coxon;N. Addor;J. Bloomfield;J. Freer;M. Fry;J. Hannaford;N. Howden;Rosanna A. Lane;M. Lewis;E. Robinson;T. Wagener;R. Woods
抽象的。我们介绍了英国的第一个大样本流域水文数据集，CAMELS-GB(大样本研究的流域属性和气象学)。Camels-GB整理了英国国家河流流量档案馆的河流流量、集水区属性和集水区边界，以及一套新的气象时间序列和集水区属性。这些数据是为671个流域提供的，涵盖了英国各地广泛的气候、水文、景观和人类管理特征。提供了一系列水文气象变量的日时间序列，涵盖1970-2015年(包括几个水文极端事件)，包括降雨量、潜在蒸散量、温度、辐射、湿度和河流流量。流域属性的综合集合被量化，包括地形、气候、水文、土地覆盖、土壤和水文地质。重要的是，我们还得出了人类管理属性(包括总结每个流域的抽象、回报和水库容量的属性)，以及描述流量数据质量的属性，包括英国的第一组流量不确定性估计(以多个流量分位数提供)。CAMELS-GB(Coxon等人，2020年；可在https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9)上获得)旨在为社区提供一个公共可用的、易于访问的数据集，用于广泛的环境和模型分析。
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 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.