Journal article
Spatially consistent physical characteristics of UK rivers: 1‐km data
- 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).
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 3.5MB, Terms of use)
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- Publisher copy:
- 10.1002/gdj3.209
Authors
- Publisher:
- Wiley
- Journal:
- Geoscience Data Journal More from this journal
- Volume:
- 11
- Issue:
- 3
- Pages:
- 284-291
- Publication date:
- 2023-07-06
- Acceptance date:
- 2023-06-16
- DOI:
- EISSN:
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2049-6060
- ISSN:
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2049-6060
- Language:
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English
- Keywords:
- Pubs id:
-
1496309
- Local pid:
-
pubs:1496309
- Deposit date:
-
2024-02-29
Terms of use
- Copyright holder:
- Davie et al.
- Copyright date:
- 2023
- Rights statement:
- © 2023 The Authors. Geoscience Data Journal published by Royal Meteorological Society and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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