Potential afforestation scenarios based on catchment structure and land cover for twelve catchments in Great Britain for use with the Joint UK Land Environment Simulator (JULES)
Data comprise a set of broadleaf afforestation scenarios (provided as netCDF files) that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The scenarios are based on the CEH Land Cover 2000 classification. Afforestation takes place according to catchment structure and existing land cover. Scenarios cover twelve river catchments in Great Britain: Dee, Tay, Ouse, Ure, Derwent, Thames, Avon, Tamar, Severn at Bewdley , Severn at Haw Bridge, Ribble and Clyde. Afforestation scenarios relate to two catchment properties: - (1) River network structure and (2) Land use. By using these two catchment properties, in conjunction with different extents of afforestation, up to 288 afforestation scenarios per catchment are generated. This dataset was created as part of the NERC doctoral training partnerships (grant number NE/L002612/1). Full details about this dataset can be found at https://doi.org/10.5285/f484ff54-9139-462e-b37a-347a69f78500
Simple
- Date (Publication)
- 2021-10-28
- Citation identifier
- https://catalogue.ceh.ac.uk/id/f484ff54-9139-462e-b37a-347a69f78500
- Citation identifier
- doi: / 10.5285/f484ff54-9139-462e-b37a-347a69f78500
- Other citation details
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Buechel, M. (2021). Potential afforestation scenarios based on catchment structure and land cover for twelve catchments in Great Britain for use with the Joint UK Land Environment Simulator (JULES). NERC EDS Environmental Information Data Centre 10.5285/f484ff54-9139-462e-b37a-347a69f78500
- Point of contact
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Organisation name Individual name Electronic mail address Role University of Oxford Buechel, M.
Point of contact University of Oxford Buechel, M. Author NERC EDS Environmental Information Data Centre Publisher NERC EDS Environmental Information Data Centre Custodian University of Oxford Owner
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GEMET - INSPIRE themes, version 1.0
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Land Cover
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
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If you reuse this data, you should cite: Buechel, M. (2021). Potential afforestation scenarios based on catchment structure and land cover for twelve catchments in Great Britain for use with the Joint UK Land Environment Simulator (JULES). NERC EDS Environmental Information Data Centre https://doi.org/10.5285/f484ff54-9139-462e-b37a-347a69f78500
- Spatial representation type
- Vector
- Distance
- 25 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Environment
))
- Reference system identifier
- ArcGIS
- Distribution format
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Name Version NetCDF
4
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://catalogue.ceh.ac.uk/datastore/eidchub/f484ff54-9139-462e-b37a-347a69f78500 Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/f484ff54-9139-462e-b37a-347a69f78500.zip Supporting information
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
- Date (Publication)
- 2010-12-08
- Statement
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The data is based on the UKCEH Land Cover 2000 raster at 25 m2. Drainage basin areas were discretised using the IHDTM (50 m2) and streams created using ArcGIS 10.6. Land cover scenarios were converted to fractions of the eight different land cover types according to JULES base configuration at a 1 km2 grid scale. Each of the eight land fractions rasters were then combined in a netCDF file using the Python packages rasterio and netCDF4 to create the land cover scenarios in a format for JULES to process. Land maps generated were compared to the CHESS-land dataset to ensure that they were generated accurately.
Metadata
- File identifier
- f484ff54-9139-462e-b37a-347a69f78500 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T13:34:43
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact