f484ff54-9139-462e-b37a-347a69f78500 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:21:32 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 Buechel, M. University of Oxford marcus.buechel@ouce.ox.ac.uk pointOfContact Buechel, M. University of Oxford marcus.buechel@ouce.ox.ac.uk https://orcid.org/0000-0002-5047-1631 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian University of Oxford marcus.buechel@ouce.ox.ac.uk owner Land Cover theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication hydrology afforestation GEMET - Concepts, version 4.1.3 2019-01-28 creation Hydrology 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 fileAccess 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.