Spatially consistent physical characteristics of UK rivers: 1-km data

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Geoscience Data Journal Pub Date : 2023-07-06 DOI:10.1002/gdj3.209
Helen N. Davies, Ponnambalam Rameshwaran, Victoria A. Bell, Simon Dadson
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Abstract

The physical river characteristics datasets described here provide spatially consistent information to support hydrological and inundation modelling at a 1 km × 1 km resolution across the United Kingdom, on the British National Grid. The datasets of physical river characteristics provide gridded datasets (outflow drainage directions, catchment areas, widths of bankfull rivers and depths of bankfull rivers) and a comma-separated table of NRFA (National River Flow Archive) gauging station locations. These datasets are derived from a range of sources: outflow drainage directions, catchment area and bankfull river widths are derived from existing higher resolution datasets, whereas bankfull river depths were harder to source and instead are derived from sparse historical measurements. The new gridded datasets provide a derived value for each UK land cell on the British National Grid (BNG). The comma-separated NRFA gauging station locations table provides the most appropriate locations of 1,499 river flow gauging stations on the 1 km resolution grids, together with the approximate error in the 1 km × 1 km gridded delineation of the upstream catchment area. This article explains how UK-wide 1-km grids of these variables were estimated, their format and how to use them. The data are available from the Environmental Information Data Centre (EIDC).

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英国河流的空间一致物理特征:1公里数据
这里介绍的河流物理特征数据集提供了空间上一致的信息,支持在英国国家网格上以 1 千米×1 千米的分辨率进行水文和洪水建模。河流物理特征数据集提供了网格数据集(流出排水方向、流域面积、满岸河流宽度和满岸河流深度)以及一个以逗号分隔的 NRFA(国家河流流量档案)测站位置表。这些数据集的来源多种多样:外流排水方向、流域面积和满岸河流宽度来自现有的更高分辨率数据集,而满岸河流深度的来源则比较困难,而是来自稀少的历史测量数据。新的网格数据集为英国国家网格(BNG)上的每个英国陆地单元提供了一个推导值。逗号分隔的 NRFA 测量站址表提供了 1 千米分辨率网格上 1,499 个河流流量测量站的最合适位置,以及上游集水区 1 千米 × 1 千米网格划分的大致误差。这篇文章解释了如何估算这些变量的英国全境 1 千米网格、其格式以及使用方法。这些数据可从环境信息数据中心 (EIDC) 获取。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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