{"accessLimitation":{"value":"registrationRequired","availability":"Available","description":"Access to the resource is limited to users who have created a user account or registered with the service providing access to the resource.","uri":"http://vocab.nerc.ac.uk/collection/N07/current/RACC/"},"authors":[{"familyName":"Martinez de la Torre","givenName":"Alberto ","organisationName":"Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0003-0244-5348","fullName":"Martinez de la Torre, A."},{"familyName":"Blyth","givenName":"E.M.","organisationName":"Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-5052-238X","fullName":"Blyth, E.M."},{"familyName":"Robinson","givenName":"Emma L.","organisationName":"Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-3746-4517","fullName":"Robinson, E.L."}],"availability":"Available","boundingBoxes":[{"westBoundLongitude":-8.384,"eastBoundLongitude":2.383,"southBoundLatitude":49.179,"northBoundLatitude":59.462,"bounds":"{\"type\": \"Feature\",      \"properties\": {},      \"geometry\": {        \"type\": \"Polygon\",        \"coordinates\": [[[-8.384, 49.179], [-8.384, 59.462], [2.383, 59.462], [2.383, 49.179], [-8.384, 49.179]]]      }}","coordinates":"[[[-8.384, 49.179], [-8.384, 59.462], [2.383, 59.462], [2.383, 49.179], [-8.384, 49.179]]]"}],"citation":{"authors":["Martinez de la Torre, A.","Blyth, E.M.","Robinson, E.L."],"bibtex":"https://catalogue.ceh.ac.uk/documents/c76096d6-45d4-4a69-a310-4c67f8dcf096/citation?format=bib","day":26,"doi":"10.5285/c76096d6-45d4-4a69-a310-4c67f8dcf096","month":1,"publisher":"NERC Environmental Information Data Centre","resourceTypeGeneral":"dataset","ris":"https://catalogue.ceh.ac.uk/documents/c76096d6-45d4-4a69-a310-4c67f8dcf096/citation?format=ris","title":"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]","url":"https://doi.org/10.5285/c76096d6-45d4-4a69-a310-4c67f8dcf096","year":2018},"custodians":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"custodian","email":"info@eidc.ac.uk"}],"datasetReferenceDate":{"creationDate":"2018-01-18","publicationDate":"2018-01-26"},"description":"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).\n\nThis simulation forms the basis for new research paper by Blyth et al (2017, under review).","distributionFormats":[{"name":"NetCDF","type":"application/netcdf","version":"4"}],"distributorContacts":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"distributor","email":"info@eidc.ac.uk"}],"funding":[{"funderName":"Natural Environment Research Council","funderIdentifier":"https://ror.org/02b5d8509","awardTitle":"UKEP","orcid":false,"ror":true}],"id":"c76096d6-45d4-4a69-a310-4c67f8dcf096","incomingCitationCount":8,"incomingCitations":[{"description":"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.","url":"https://doi.org/10.5194/gmd-12-765-2019","type":"academic"},{"description":"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.","url":"https://doi.org/10.5194/hess-25-1617-2021","type":"academic"},{"description":"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.","url":"https://doi.org/10.1177/0309133319841891","type":"academic"},{"description":"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.","url":"https://doi.org/10.1002/hyp.14823","type":"academic"},{"description":"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)","url":"https://doi.org/10.1038/s43247-021-00334-0","type":"academic"},{"description":"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.","url":"https://doi.org/10.1175/jhm-d-23-0018.1","type":"academic"},{"description":"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.","url":"https://www.climatexchange.org.uk/projects/perennial-energy-crops-and-their-potential-in-scotland-evidence-review/","type":"policy"},{"description":"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. 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The simulation covers a total of 55 years (1961-2015). 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