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:9e14539e-b376-4a70-87a0-f8725f84bae9
dcterms:title "Eddy covariance measurements of carbon dioxide, energy and water fluxes at a commercial short rotation coppice willow plantation, Lincolnshire, UK, 2009 to 2013" ;
dcterms:identifier "https://catalogue.ceh.ac.uk/id/9e14539e-b376-4a70-87a0-f8725f84bae9","https://doi.org/10.5285/9e14539e-b376-4a70-87a0-f8725f84bae9" ;
dcterms:bibliographicCitation "Morrison, R., Clark, E., Lloyd, C., Ward, H., Evans, J., Brooks, M., Rowe, R., McNamara, N.P. (2019). Eddy covariance measurements of carbon dioxide, energy and water fluxes at a commercial short rotation coppice willow plantation, Lincolnshire, UK, 2009 to 2013. NERC Environmental Information Data Centre. https://doi.org/10.5285/9e14539e-b376-4a70-87a0-f8725f84bae9" ;
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 short rotation coppice willow plantation in Lincolnshire, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 13th October 2009 and 15th May 2013. 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 willow 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) and the partitioning of NEE into gross ecosystem production and total ecosystem production were performed using the REddyProc Package for R (Reichstein et al., 2019). Further details are available in the supporting documentation."
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