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:8474a4a9-4c2a-4d88-b9b7-65a18f0f1540
dcterms:title "Eddy covariance measurements of carbon dioxide, energy and water fluxes at a commercial Miscanthus x. giganteus plantation, Lincolnshire, UK, 2013 to 2017" ;
dcterms:identifier "https://catalogue.ceh.ac.uk/id/71e5b799-fc4d-4a44-8860-a5e358c807fd","https://doi.org/10.5285/71e5b799-fc4d-4a44-8860-a5e358c807fd" ;
dcterms:bibliographicCitation "Morrison, R., Rowe, R., Cooper, H.M., McNamara, N.P. (2019). Eddy covariance measurements of carbon dioxide, energy and water fluxes at a commercial Miscanthus x. giganteus plantation, Lincolnshire, UK, 2013 to 2017. NERC Environmental Information Data Centre. https://doi.org/10.5285/71e5b799-fc4d-4a44-8860-a5e358c807fd" ;
dcterms:description "This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a at a Miscanthus x. giganteus Greef et Deu (hereafter Miscanthus) plantation in Lincolnshire, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 4 July 2013 and 25 November 2017. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability." ;
dcterms:provenance [
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rdfs:label "Eddy covariance (EC) and micrometeorological observations were made above the Miscanthus canopy using an open-path eddy covariance system. Ancillary meteorological and soil physics observations were made from a scaffold tower at the northern end of the plantation. Turbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1. Quality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly. Data gaps in EC data (NEE, LE, H) were filled using the Marginal Distribution Sampling approach. Gaps in key meteorological variables (SWin, LWin, Ta, RH) were filled using linear relationships derived from weather stations located in adjacent fields. Further details are available in the supporting documentation."
] ;
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dcterms:bibliographicCitation "Keane, J.B., Morrison, R., McNamara, N.P. & Ineson, P. (2019) Real‐time monitoring of greenhouse gas emissions with tall chambers reveals diurnal N2O variation and increased emissions of CO2 and N2O from Miscanthus following compost addition. GCB Bioenergy 11, 1456-1470.";
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