Water, carbon and energy fluxes simulation for Great Britain using the JULES Land Surface Model and the Climate Hydrology and Ecology research Support System meteorology dataset (1961-2015) [CHESS-land]
https://doi.org/10.5285/c76096d6-45d4-4a69-a310-4c67f8dcf096
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This dataset is made available under the terms of the CEH Noncomercial Licence
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wget --user=YOUR_USERNAME --password=YOUR_PASSWORD --auth-no-challenge https://catalogue.ceh.ac.uk/datastore/eidchub/c76096d6-45d4-4a69-a310-4c67f8dcf096
The dataset contains daily and monthly surface water, energy and carbon fluxes, and state variables for Great Britain over the period between 1961 and 2015. The data was obtained from a 55 years simulation with the JULES Land Surface Model, at 1 km spatial resolution and driven by the meteorological dataset CHESS-met v1.2 (Robinson et al., 2017; https://doi.org/10.5285/b745e7b1-626c-4ccc-ac27-56582e77b900). The data comes in both monthly (all variables) and daily (only variables with no z dimension) averages. The variables are: total evapotranspiration and components (kg m-2 s-1), runoff (kg m-2 s-1), surface temperature (K), soil moisture (kg m-2), soil temperature (K), snow mass (kg m-2). latent and sensible heat (W m-2), net and gross primary productivities (kg C m-2 s-1), plant respiration (kg C m-2 s-1). The z dimension may refer, if present, to tile (surface type), pft (plant functional type) or soil (soil layer).
This simulation forms the basis for new research paper by Blyth et al (2017, under review).
This simulation forms the basis for new research paper by Blyth et al (2017, under review).
Publication date: 2018-01-26
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
NetCDF
Spatial information
Study area
Spatial representation type
Raster
Spatial reference systems
OSGB 1936 / British National Grid
WGS 84
WGS 84
Temporal information
Temporal extent
1961-01-01 to 2015-12-31
Provenance & quality
This data has been produced using the JULES land surface model (model version: vn4.5; branch r3488_albmar_spdm), at 1 km spatial resolution over Great Britain and driven by the CHESS-met v1.2 (Robinson et al., 2017; https://doi.org/10.5285/b745e7b1-626c-4ccc-ac27-56582e77b900). The simulation covers a total of 55 years (1961-2015). The model configuration (parameters and rest of input data) can be accessible through the MetOffice JULES repository (https://code.metoffice.gov.uk/trac/jules), on the Rose suite u-au394.
Licensing and constraints
This dataset is made available under the terms of the CEH Noncomercial Licence
Cite this dataset as:
Martinez de la Torre, A.; Blyth, E.M.; Robinson, E.L. (2018). Water, carbon and energy fluxes simulation for Great Britain using the JULES Land Surface Model and the Climate Hydrology and Ecology research Support System meteorology dataset (1961-2015) [CHESS-land]. NERC Environmental Information Data Centre. https://doi.org/10.5285/c76096d6-45d4-4a69-a310-4c67f8dcf096
Related
Services associated with this dataset
This dataset is included in the following collections
Climate hydrology and ecology research support system [CHESS]
Citations
Martínez-de la Torre, A., Blyth, E. M., & Weedon, G. P. (2019). Using observed river flow data to improve the hydrological functioning of the JULES land surface model (vn4.3) used for regional coupled modelling in Great Britain (UKC2). Geoscientific Model Development, 12(2), 765–784. https://doi.org/10.5194/gmd-12-765-2019
Pinnington, E., Amezcua, J., Cooper, E., Dadson, S., Ellis, R., Peng, J., … Quaife, T. (2021). Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data. Hydrology and Earth System Sciences, 25(3), 1617–1641. https://doi.org/10.5194/hess-25-1617-2021
Blyth, E.M., Martínez-de la Torre, A., & Robinson, E.L. (2019). Trends in evapotranspiration and its drivers in Great Britain: 1961 to 2015. Progress in Physical Geography: Earth and Environment, 43(5), 666–693. https://doi.org/10.1177/0309133319841891
Kay, A.L., Rudd, A.C., & Coulson, J. (2023). Spatial downscaling of precipitation for hydrological modelling: Assessing a simple method and its application under climate change in Britain. In Hydrological Processes (Vol. 37, Issue 2). Wiley. https://doi.org/10.1002/hyp.14823
Buechel, M., Slater, L., & Dadson, S. (2022). Hydrological impact of widespread afforestation in Great Britain using a large ensemble of modelled scenarios. Communications Earth & Environment, 3(1) https://doi.org/10.1038/s43247-021-00334-0
Tso, C.-H.M., Blyth, E., Tanguy, M., Levy, P.E., Robinson, E.L., Bell, V., Zha, Y., & Fry, M. (2023). Multiproduct Characterization of Surface Soil Moisture Drydowns in the United Kingdom. In Journal of Hydrometeorology (Vol. 24, Issue 12, pp. 2299–2319). American Meteorological Society. https://doi.org/10.1175/jhm-d-23-0018.1
Martin, G., Ingvorsen, L., Willcocks, J., Wiltshire, J., Bates, J., Jenkins, B., Priestley, T., McKay, H. & Croxton, S. (2020). Perennial energy crops and their potential in Scotland: evidence review. ClimateXChange. https://www.climatexchange.org.uk/projects/perennial-energy-crops-and-their-potential-in-scotland-evidence-review/
Dowson, F., Leake, A., Harpham, L., Willcocks, J., Peters, E., David, T., Bates, J., & Wood, C. (2024). Economic potential of energy crops in Scotland. Ricardo Plc. https://doi.org/10.7488/ERA/5478
Supplemental information
The CHESS Explorer application provides the ability for users to preview the CHESS-met data used to drive CHESS-land, visualise maps of the different meteorological variables, and understand how they vary across the country and through time. Notice that this application displays data up to 2012 for now.
Correspondence/contact details
Martinez de la Torre, A.
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
enquiries@ceh.ac.uk
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Authors
https://orcid.org/0000-0003-0244-5348 Other contacts
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk