Cumming, A.M.J. et al

Eddy Covariance measurements of carbon dioxide, energy and water flux at an intensively cultivated lowland deep peat soil, East Anglia, UK, 2012 to 2020

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) for a managed lowland deep peat soil in the East Anglian Fens, England, UK. The site is managed for the production of horticultural salad crops. Measurements were made between the 22nd June 2012 and 1st January 2020 during which lettuce, leek, celery, sugar beet and potatoes crops were grown on the field.

Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations.

Publication date: 2020-04-03

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Format of the data: Comma-separated values (CSV)

You must cite: Cumming, A.M.J.; Newman, T.R.; Benson, S.J.; Balzter, H.; Evans, C.; Jones, D.; Kaduk, J.; Morrison, R.D.; Page, S.E. (2020). Eddy Covariance measurements of carbon dioxide, energy and water flux at an intensively cultivated lowland deep peat soil, East Anglia, UK, 2012 to 2020. NERC Environmental Information Data Centre. https://doi.org/10.5285/13896773-01e5-48e6-bfab-c319de46b221

 

© University of Leicester

© UK Centre for Ecology & Hydrology

Where/When

Study area
Temporal extent
2012-06-22    to    2020-01-01

Provenance & quality

Eddy covariance (EC) and micrometeorological observations were made using an open-path eddy covariance system. Ancillary meteorological and soil physics observations were co-located with the eddy covariance station.

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.

Related

This dataset is included in the following collections

Flux (CO2, water and energy) and meteorological data in UK

Correspondence/contact details

Alex Cumming
UK Centre for Ecology & Hydrology
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
United Kingdom
 enquiries@ceh.ac.uk

Authors

Cumming, A.M.J.
UK Centre for Ecology & Hydrology
Newman, T.R.
University of Leicester
Benson, S.J.
University of Leicester
Balzter, H.
University of Leicester
Evans, C.
UK Centre for Ecology & Hydrology
Jones, D.
University of Bangor
Kaduk, J.
University of Leicester
Morrison, R.D.
UK Centre for Ecology & Hydrology
Page, S.E.
University of Leicester

Other contacts

Custodian
Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
Environment
Keywords
Soil
INSPIRE Theme
Soil
Funding
Natural Environment Research Council Award: NE/K001590/1
Natural Environment Research Council Award: NE/L501839
Natural Environment Research Council Award: NE/P014097/1
Department for Environment Food and Rural Affairs Award: SP1210
Department for Environment Food and Rural Affairs Award: SP1218
Spatial representation type
Tabular (text)
Spatial reference system
OSGB 1936 / British National Grid
Last updated
06 April 2020 15:25