f484ff54-9139-462e-b37a-347a69f78500
English
ISO/IEC 8859-1 (also known as Latin 1)
dataset
dataset
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
info@eidc.ac.uk
pointOfContact
2021-11-15T16:35:25
UK GEMINI
2.3
ArcGIS
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)
2021-10-28
publication
https://catalogue.ceh.ac.uk/id/f484ff54-9139-462e-b37a-347a69f78500
10.5285/f484ff54-9139-462e-b37a-347a69f78500
doi:
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
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
Marcus Buechel
University of Oxford
enquiries@ceh.ac.uk
pointOfContact
Buechel, M.
University of Oxford
enquiries@ceh.ac.uk
author
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
University of Oxford
enquiries@ceh.ac.uk
owner
Land Cover
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
Hydrology
hydrology
afforestation
scenario
JULES
Avon
Clyde
Dee
Derwent
Ouse
Ribble
Severn at Haw Bridge
Tamar
Tay
Thames
Ure
CHESS-land
Severn at Bewdley
otherRestrictions
no limitations
otherRestrictions
This resource is available under the terms of the Open Government Licence
otherRestrictions
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
vector
25
English
utf8
environment
-8.648
1.768
49.864
60.861
NetCDF
4
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://catalogue.ceh.ac.uk/datastore/eidchub/f484ff54-9139-462e-b37a-347a69f78500
Download the data
Download a copy of this data
download
https://data-package.ceh.ac.uk/sd/f484ff54-9139-462e-b37a-347a69f78500.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
dataset
dataset
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
2010-12-08
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.