Historic reconstructions of daily river flow for 303 UK catchments (1891-2015)
收藏www.data.gov.uk2024-06-29 更新2025-03-24 收录
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https://www.data.gov.uk/dataset/0933be4b-fd96-4a7e-8de7-e2a37419a4ac/historic-reconstructions-of-daily-river-flow-for-303-uk-catchments-1891-2015
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This dataset is model output from the GR4J lumped catchment hydrology model. It provides 500 model realisations of daily river flow, in cubic metres per second (cumecs, m3/s), for 303 UK catchments for the period between 1891-2015. The modelled catchments are part of the National River Flow Archive (NRFA) (https://nrfa.ceh.ac.uk/) and provide good spatial coverage across the UK. These flow reconstructions were produced as part of the Research Councils UK (RCUK) funded Historic Droughts and IMPETUS projects, to provide consistent modelled daily flow data across the UK from 1891-2015, with estimates of uncertainty. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1). The data are provided in two formats to help the user account for uncertainty: (1) a 500-member ensemble of daily river flow time series for each catchment, with their corresponding model parameters and evaluation metric scores of model performance. (2) a single river flow time series (one corresponding to the top run of the 500), with the maximum and minimum daily limits of the 500 ensemble members. Full details about this dataset can be found at https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e
本数据集源自于GR4J集总流域水文模型,提供了1891至2015年间针对英国303个流域的每日河流流量(以立方米每秒,即cumecs,m3/s为单位)的500个模型实现。所述模型流域属于国家河流流量档案(National River Flow Archive,NRFA)(https://nrfa.ceh.ac.uk/),并实现了对英国广泛地区的良好空间覆盖。这些流量重建工作是作为英国研究理事会(Research Councils UK,RCUK)资助的“历史干旱”和“IMPETUS”项目的一部分完成的,旨在为英国1891至2015年期间提供一致的每日流量模型数据,并估算不确定性。该数据集是“历史干旱”项目(资助编号:NE/L01016X/1)的成果。数据以两种格式提供,以帮助用户考虑不确定性:(1)每个流域的500个成员组成的每日河流流量时间序列,以及相应的模型参数和模型性能评估指标分数。(2)一个单一的河流流量时间序列(对应于500个成员中的最佳运行),包括500个成员的每日流量最大值和最小值。关于本数据集的详细信息可在https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e找到。
提供机构:
www.data.gov.uk



